This document provides an introduction to brain-machine interfaces (BMI) and discusses Neuralink's goals with this technology. It begins by explaining how the central nervous system works and can be damaged, interrupting signals between the brain and body. Non-invasive and invasive methods for detecting brain signals are described, with invasive BMIs offering the most accurate measurements but also risks. Neuralink aims to develop wireless, high-density BMIs to help treat neurological conditions, with promising results in animal models demonstrating signal processing and output. However, ethical concerns must be addressed as this technology progresses.
This document provides an introduction to brain-machine interfaces (BMI). It discusses how the central nervous system works and can be damaged, preventing communication between the brain and body. Brain-machine interfaces aim to restore lost function by directly interfacing with the brain. While non-invasive techniques like EEG have limitations, invasive BMIs using implanted electrodes can precisely measure brain signals but carry medical risks. The document describes Neuralink's work developing implantable and wireless BMIs, including successes in animal models, and concludes by noting potentials for restoring abilities while raising ethical concerns.
This document discusses brain-computer interfaces (BCI). It begins with an introduction and overview of BCI technology and how it aims to create a direct channel between the human brain and computers. It then covers the basic principles and components of BCI systems, including electroencephalography (EEG) and different types of invasive and non-invasive interfaces. Applications are discussed such as communication devices for paralyzed patients and control of prosthetics. Advantages include improved quality of life and new areas of research, while disadvantages include health risks, required training, and costs. The document concludes that BCI is an advancing technology with promising applications in rehabilitation and human enhancement.
PPT of my technical Seminar titled Brain-computer interface (BCI). This is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb.
!
This document provides an overview of brain-computer interfaces (BCI). It begins with an introduction defining BCI as a direct communication pathway between the brain and an external device. It then discusses the history of BCI research from the 1920s to present day. The document outlines how a typical BCI system works, including signal acquisition, preprocessing, feature extraction, and classification. It describes the two main types of BCI as invasive and non-invasive. Applications of BCI technology are discussed in several fields like medicine, education, and gaming. Both advantages like high precision and disadvantages like current accuracy limitations are noted.
This document provides an overview of brain-computer interfaces (BCI). It begins with an introduction defining BCI as a direct communication pathway between the brain and an external device. It then discusses the history of BCI research from the 1920s to present day. The document explains how BCI systems work through signal acquisition, preprocessing, feature extraction and classification. It describes invasive and non-invasive BCI types and some of their applications in fields like medicine, education and games. The advantages of BCI are its precision and potential benefits to quality of life. However, current BCI technology also has disadvantages like inaccuracy and ethical issues regarding reading thoughts.
A brain-computer interface is a direct communication pathway between the brain and an external device. BCIs can be invasive, implanted inside the brain, or non-invasive, using external sensors like EEG to read brain signals. The brain's neurons communicate via electric signals that an EEG can detect on the scalp. Researchers have used EEG-based BCIs to allow communication between two human brains. While BCIs could help treat disabilities and allow new forms of control, challenges remain in interpreting complex brain signals and developing portable, non-invasive devices.
Brain-computer interfaces (BCIs) allow direct communication between the brain and external devices. There are invasive BCIs that are implanted in the brain, partially invasive BCIs implanted in the skull, and non-invasive BCIs that record brain activity from the scalp using electroencephalography (EEG). EEG measures voltage differences between neurons which are amplified, filtered, and interpreted by a computer program. BCIs have applications in areas like criminal investigations, home automation, airplane control, and helping people with disabilities communicate. While BCIs open new possibilities, challenges remain in interpreting complex brain signals and developing portable equipment.
This document provides an introduction to brain-machine interfaces (BMI). It discusses how the central nervous system works and can be damaged, preventing communication between the brain and body. Brain-machine interfaces aim to restore lost function by directly interfacing with the brain. While non-invasive techniques like EEG have limitations, invasive BMIs using implanted electrodes can precisely measure brain signals but carry medical risks. The document describes Neuralink's work developing implantable and wireless BMIs, including successes in animal models, and concludes by noting potentials for restoring abilities while raising ethical concerns.
This document discusses brain-computer interfaces (BCI). It begins with an introduction and overview of BCI technology and how it aims to create a direct channel between the human brain and computers. It then covers the basic principles and components of BCI systems, including electroencephalography (EEG) and different types of invasive and non-invasive interfaces. Applications are discussed such as communication devices for paralyzed patients and control of prosthetics. Advantages include improved quality of life and new areas of research, while disadvantages include health risks, required training, and costs. The document concludes that BCI is an advancing technology with promising applications in rehabilitation and human enhancement.
PPT of my technical Seminar titled Brain-computer interface (BCI). This is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb.
!
This document provides an overview of brain-computer interfaces (BCI). It begins with an introduction defining BCI as a direct communication pathway between the brain and an external device. It then discusses the history of BCI research from the 1920s to present day. The document outlines how a typical BCI system works, including signal acquisition, preprocessing, feature extraction, and classification. It describes the two main types of BCI as invasive and non-invasive. Applications of BCI technology are discussed in several fields like medicine, education, and gaming. Both advantages like high precision and disadvantages like current accuracy limitations are noted.
This document provides an overview of brain-computer interfaces (BCI). It begins with an introduction defining BCI as a direct communication pathway between the brain and an external device. It then discusses the history of BCI research from the 1920s to present day. The document explains how BCI systems work through signal acquisition, preprocessing, feature extraction and classification. It describes invasive and non-invasive BCI types and some of their applications in fields like medicine, education and games. The advantages of BCI are its precision and potential benefits to quality of life. However, current BCI technology also has disadvantages like inaccuracy and ethical issues regarding reading thoughts.
A brain-computer interface is a direct communication pathway between the brain and an external device. BCIs can be invasive, implanted inside the brain, or non-invasive, using external sensors like EEG to read brain signals. The brain's neurons communicate via electric signals that an EEG can detect on the scalp. Researchers have used EEG-based BCIs to allow communication between two human brains. While BCIs could help treat disabilities and allow new forms of control, challenges remain in interpreting complex brain signals and developing portable, non-invasive devices.
Brain-computer interfaces (BCIs) allow direct communication between the brain and external devices. There are invasive BCIs that are implanted in the brain, partially invasive BCIs implanted in the skull, and non-invasive BCIs that record brain activity from the scalp using electroencephalography (EEG). EEG measures voltage differences between neurons which are amplified, filtered, and interpreted by a computer program. BCIs have applications in areas like criminal investigations, home automation, airplane control, and helping people with disabilities communicate. While BCIs open new possibilities, challenges remain in interpreting complex brain signals and developing portable equipment.
Brain-computer interface (BCI) is a fast-growing emergent technology, in which researchers aim to build a direct channel between the human brain and the computer.
A Brain Computer Interface (BCI) is a collaboration in which a brain accepts and controls a mechanical device as a natural part of its representation of the body.
Computer-brain interfaces are designed to restore sensory function, transmit sensory information to the brain, or stimulate the brain through artificially generated electrical signals.
Brain-computer interfaces (BCI) allow direct communication between the brain and external devices. Richard Caton discovered electrical signals on animal brains, pioneering BCI research. BCIs use brain signals like EEG to enable non-muscular communication and control. They support people with conditions like ALS and brain stem stroke by establishing real-time interaction between the user's brain and outside world independently of normal neuromuscular output. A BCI works through the interaction of the user generating intent-encoding brain signals and the BCI system translating those signals into commands that preserve the user's intent.
A brain computer interface (BCI) provides direct communication between the human brain and external devices like computers. BCIs detect brain activity through noninvasive or invasive means and translate it into commands. The goal is to help disabled individuals communicate and interact with the environment. BCI research involves measuring and analyzing brain signals, developing algorithms to translate them into commands, and creating new applications.
Brain Computer Interface (BCI) aims at providing an alternate means of communication and control to people with severe cognitive or sensory-motor disabilities. These systems are based on the single trial recognition of different mental states or tasks from the brain activity. This paper discusses the major components involved in developing a Brain Computer Interface system which includes the modality to obtain brain signals and its related processing methods.
Brain Computer Interface (BCI) - seminar PPTSHAMJITH KM
This document discusses brain computer interfaces (BCI). It begins by providing background on early pioneers in the field like Hans Berger in the 1920s-1950s. It then discusses some key BCI developments from the 1990s to present day, including devices that allow paralyzed individuals to control prosthetics or computers using brain signals. The document outlines the basic hardware and principles of how BCIs work by interpreting brain signals to control external devices. It discusses potential applications like internet browsing, gaming, or prosthetic limb control. The benefits and disadvantages of BCIs are noted, and the future possibilities of using BCIs to enhance human abilities are explored.
This document provides an overview of brain-computer interfaces (BCIs). It discusses the history of BCIs, how they work, different types including invasive, partially invasive and non-invasive BCIs, applications such as assisting those with disabilities and human enhancement, examples of BCI projects, and challenges with the technology such as risks of invasive BCIs and need for training with non-invasive options. The document aims to cover introduction to BCIs, the role of neurons in generating signals, techniques like EEG and applications in areas like restoring vision and movement as well as augmenting cognition.
The document discusses the Brain Gate system, which is a brain implant that implements brain-computer interface (BCI) technology. It describes how BCI research first used implants in rats and monkeys to detect brain signals that could operate devices. The Brain Gate system was then developed for human use, allowing a paralyzed man to control a computer using only his thoughts. The document outlines the principles, components, applications and limitations of BCI technology, suggesting it has potential to help disabled individuals but requires more development of accurate and safe brain sensors.
This document discusses brain-computer interfaces (BCI). It begins with an introduction and overview of BCI models, principles of operation, EEGs, approaches, applications and advantages. It then discusses the history and development of BCIs from algorithms in the 1970s to current projects decoding brain signals in monkeys and humans. The document outlines invasive, non-invasive and semi-invasive BCI approaches and their signals. Applications discussed include assisting paralyzed patients and enhancing devices. Challenges include training and costs. The document concludes that BCI is a promising emerging technology that could improve lives and lead to advances in areas like machine control, virtual reality, and human enhancement through continued research.
Brain machine interfaces allow communication between the human brain and external devices. BMI systems detect brain activity through electrodes on the scalp or implanted in the brain. The detected signals are processed and used to control outputs like prosthetic limbs or wheelchairs. Challenges include potential brain damage from implants and security issues like virus attacks. Future applications could see BMIs provide enhanced abilities by linking humans directly to computers and artificial intelligence. However, ethical concerns arise regarding the implications of merging humans with machines.
BCI provides direct communication between the brain and external devices. It extracts electro-physical signals from the brain and processes them to generate control signals. This allows devices to be controlled by thought alone and has applications in assisting those with disabilities or improving performance. Key challenges include interpreting complex neural signals originating from billions of neurons and developing biocompatible probes and neural interfaces.
BCI is a direct Neural Interface or Brain-Machine InterfaceJaahnvi Patel
BCI is technology to communicates the human brain directly to a computer without any physical contact. BCI is a fast-growing emergent technology in which researchers aim to build a direct channel between the human brain and the computer.
brain chip technology is a technology which involves communication based on neural activity generated by the brain. brain chip technology implements the brain computer interface.
Brain Computer Interface Next Generation of Human Computer InteractionSaurabh Giratkar
The document summarizes a seminar presentation on brain-computer interfaces. It discusses what a BCI is, provides a brief history of BCIs, and outlines the contents to be covered, including the mechanism of BCIs, applications, challenges, and the future of the technology. It also provides references used in the presentation. The presentation aims to introduce various aspects of BCIs, including structure, applications, promises for information technology, and challenges that need to be addressed for BCI to become more successful and widely used.
The document discusses brain chips, which connect the brain directly to computers. It describes the history of brain-computer interfaces from the late 19th century to modern implants. Current brain chip technology uses silicon chips implanted in the skull to enhance memory, assist paralyzed patients, and potentially be used for military purposes. The future may see brain chips that mimic the function of neurons and bypass the spinal cord, as well as "brain pacemakers" to treat neurological conditions. While brain chips offer advantages like enhancing human abilities, they also present risks like loss of identity, hacking, and use for harmful activities if in the wrong hands.
Brain-computer interfaces (BCI) aim to create a direct communication pathway between the human brain and external devices. Early work in the 1970s reconstructed hand movements from monkey motor cortex neurons. Current non-invasive BCIs use EEG, MEG, and MRI to decode brain signals, while invasive interfaces implant electrodes on the brain or skull to obtain higher quality signals. BCI systems work by acquiring brain signals, processing them to decode intentions, and using the output to control assistive technologies or provide feedback. Potential applications include restoring sight or movement for the disabled and enhancing areas like gaming. However, challenges remain regarding signal quality, creating non-invasive alternatives, and addressing ethical concerns.
Here is very good and amazing presentation on Brain chipss...
read this carefully and work on this because the work on brain is very good for future research...
The document discusses brain-computer interfaces (BCIs). It provides a brief history of BCIs beginning with Hans Berger recording human brain activity in 1924. It describes the key parts of a BCI system including the brain, computer, and interaction between them. It discusses different types of BCIs including invasive, partially-invasive, and non-invasive. Invasive BCIs have electrodes implanted directly in the brain, while non-invasive techniques like EEG involve placing sensors on the scalp. The document outlines some applications of BCIs and their future potential, while also noting challenges like the complexity of the brain and issues with signal quality.
This document discusses neural interfacing systems, including their objective to link the nervous system to the outside world by stimulating or recording neural tissue. It describes types of invasive and non-invasive neural interfaces and their workings. Applications mentioned include assisting those with disabilities, gaming, manufacturing, and communication. Methods covered are P300 detection, EEG rhythms, and conclusion discusses advantages like helping disabled individuals and disadvantages like risk factors and noise sensitivity.
This document provides an overview of BrainGate, a neural interface system that allows individuals with paralysis to control external devices with their thoughts. It discusses how BrainGate works by monitoring brain activity through an implanted sensor and converting neural signals related to movement intentions into computer commands. The document outlines research on Brain-Computer Interfaces using animals and early human trials. It also discusses applications of the technology, current limitations, and future implementations such as brain-to-brain communication.
Brain-computer interface (BCI) is a fast-growing emergent technology, in which researchers aim to build a direct channel between the human brain and the computer.
A Brain Computer Interface (BCI) is a collaboration in which a brain accepts and controls a mechanical device as a natural part of its representation of the body.
Computer-brain interfaces are designed to restore sensory function, transmit sensory information to the brain, or stimulate the brain through artificially generated electrical signals.
Brain-computer interfaces (BCI) allow direct communication between the brain and external devices. Richard Caton discovered electrical signals on animal brains, pioneering BCI research. BCIs use brain signals like EEG to enable non-muscular communication and control. They support people with conditions like ALS and brain stem stroke by establishing real-time interaction between the user's brain and outside world independently of normal neuromuscular output. A BCI works through the interaction of the user generating intent-encoding brain signals and the BCI system translating those signals into commands that preserve the user's intent.
A brain computer interface (BCI) provides direct communication between the human brain and external devices like computers. BCIs detect brain activity through noninvasive or invasive means and translate it into commands. The goal is to help disabled individuals communicate and interact with the environment. BCI research involves measuring and analyzing brain signals, developing algorithms to translate them into commands, and creating new applications.
Brain Computer Interface (BCI) aims at providing an alternate means of communication and control to people with severe cognitive or sensory-motor disabilities. These systems are based on the single trial recognition of different mental states or tasks from the brain activity. This paper discusses the major components involved in developing a Brain Computer Interface system which includes the modality to obtain brain signals and its related processing methods.
Brain Computer Interface (BCI) - seminar PPTSHAMJITH KM
This document discusses brain computer interfaces (BCI). It begins by providing background on early pioneers in the field like Hans Berger in the 1920s-1950s. It then discusses some key BCI developments from the 1990s to present day, including devices that allow paralyzed individuals to control prosthetics or computers using brain signals. The document outlines the basic hardware and principles of how BCIs work by interpreting brain signals to control external devices. It discusses potential applications like internet browsing, gaming, or prosthetic limb control. The benefits and disadvantages of BCIs are noted, and the future possibilities of using BCIs to enhance human abilities are explored.
This document provides an overview of brain-computer interfaces (BCIs). It discusses the history of BCIs, how they work, different types including invasive, partially invasive and non-invasive BCIs, applications such as assisting those with disabilities and human enhancement, examples of BCI projects, and challenges with the technology such as risks of invasive BCIs and need for training with non-invasive options. The document aims to cover introduction to BCIs, the role of neurons in generating signals, techniques like EEG and applications in areas like restoring vision and movement as well as augmenting cognition.
The document discusses the Brain Gate system, which is a brain implant that implements brain-computer interface (BCI) technology. It describes how BCI research first used implants in rats and monkeys to detect brain signals that could operate devices. The Brain Gate system was then developed for human use, allowing a paralyzed man to control a computer using only his thoughts. The document outlines the principles, components, applications and limitations of BCI technology, suggesting it has potential to help disabled individuals but requires more development of accurate and safe brain sensors.
This document discusses brain-computer interfaces (BCI). It begins with an introduction and overview of BCI models, principles of operation, EEGs, approaches, applications and advantages. It then discusses the history and development of BCIs from algorithms in the 1970s to current projects decoding brain signals in monkeys and humans. The document outlines invasive, non-invasive and semi-invasive BCI approaches and their signals. Applications discussed include assisting paralyzed patients and enhancing devices. Challenges include training and costs. The document concludes that BCI is a promising emerging technology that could improve lives and lead to advances in areas like machine control, virtual reality, and human enhancement through continued research.
Brain machine interfaces allow communication between the human brain and external devices. BMI systems detect brain activity through electrodes on the scalp or implanted in the brain. The detected signals are processed and used to control outputs like prosthetic limbs or wheelchairs. Challenges include potential brain damage from implants and security issues like virus attacks. Future applications could see BMIs provide enhanced abilities by linking humans directly to computers and artificial intelligence. However, ethical concerns arise regarding the implications of merging humans with machines.
BCI provides direct communication between the brain and external devices. It extracts electro-physical signals from the brain and processes them to generate control signals. This allows devices to be controlled by thought alone and has applications in assisting those with disabilities or improving performance. Key challenges include interpreting complex neural signals originating from billions of neurons and developing biocompatible probes and neural interfaces.
BCI is a direct Neural Interface or Brain-Machine InterfaceJaahnvi Patel
BCI is technology to communicates the human brain directly to a computer without any physical contact. BCI is a fast-growing emergent technology in which researchers aim to build a direct channel between the human brain and the computer.
brain chip technology is a technology which involves communication based on neural activity generated by the brain. brain chip technology implements the brain computer interface.
Brain Computer Interface Next Generation of Human Computer InteractionSaurabh Giratkar
The document summarizes a seminar presentation on brain-computer interfaces. It discusses what a BCI is, provides a brief history of BCIs, and outlines the contents to be covered, including the mechanism of BCIs, applications, challenges, and the future of the technology. It also provides references used in the presentation. The presentation aims to introduce various aspects of BCIs, including structure, applications, promises for information technology, and challenges that need to be addressed for BCI to become more successful and widely used.
The document discusses brain chips, which connect the brain directly to computers. It describes the history of brain-computer interfaces from the late 19th century to modern implants. Current brain chip technology uses silicon chips implanted in the skull to enhance memory, assist paralyzed patients, and potentially be used for military purposes. The future may see brain chips that mimic the function of neurons and bypass the spinal cord, as well as "brain pacemakers" to treat neurological conditions. While brain chips offer advantages like enhancing human abilities, they also present risks like loss of identity, hacking, and use for harmful activities if in the wrong hands.
Brain-computer interfaces (BCI) aim to create a direct communication pathway between the human brain and external devices. Early work in the 1970s reconstructed hand movements from monkey motor cortex neurons. Current non-invasive BCIs use EEG, MEG, and MRI to decode brain signals, while invasive interfaces implant electrodes on the brain or skull to obtain higher quality signals. BCI systems work by acquiring brain signals, processing them to decode intentions, and using the output to control assistive technologies or provide feedback. Potential applications include restoring sight or movement for the disabled and enhancing areas like gaming. However, challenges remain regarding signal quality, creating non-invasive alternatives, and addressing ethical concerns.
Here is very good and amazing presentation on Brain chipss...
read this carefully and work on this because the work on brain is very good for future research...
The document discusses brain-computer interfaces (BCIs). It provides a brief history of BCIs beginning with Hans Berger recording human brain activity in 1924. It describes the key parts of a BCI system including the brain, computer, and interaction between them. It discusses different types of BCIs including invasive, partially-invasive, and non-invasive. Invasive BCIs have electrodes implanted directly in the brain, while non-invasive techniques like EEG involve placing sensors on the scalp. The document outlines some applications of BCIs and their future potential, while also noting challenges like the complexity of the brain and issues with signal quality.
This document discusses neural interfacing systems, including their objective to link the nervous system to the outside world by stimulating or recording neural tissue. It describes types of invasive and non-invasive neural interfaces and their workings. Applications mentioned include assisting those with disabilities, gaming, manufacturing, and communication. Methods covered are P300 detection, EEG rhythms, and conclusion discusses advantages like helping disabled individuals and disadvantages like risk factors and noise sensitivity.
This document provides an overview of BrainGate, a neural interface system that allows individuals with paralysis to control external devices with their thoughts. It discusses how BrainGate works by monitoring brain activity through an implanted sensor and converting neural signals related to movement intentions into computer commands. The document outlines research on Brain-Computer Interfaces using animals and early human trials. It also discusses applications of the technology, current limitations, and future implementations such as brain-to-brain communication.
Similar to Improved Lecture _Part2 - Copy - Copy.pptx (20)
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إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
🔥🔥🔥🔥🔥🔥🔥🔥🔥
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
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Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
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A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
2. Introduction to Brain Machine Interfaces (BMI)
The CNS and
how it
communicates
CNS damage
and repair
Brain Signal
Detection
BMI
Technology
Neuralink Future Goals
Ethical
Implications
3. Learning Objectives
Explain
Explain the
function of the
central nervous
system (CNS) and
how it works.
Identify
Identify the
diseases and
pathologies
where signaling
from the brain to
the body is
interrupted or
cutoff, resulting
in conditions
such as paralysis.
Discuss
Discuss the
reasons why the
CNS is not very
good at healing
itself, making
paralysis and
similar conditions
difficult to treat.
Understand
Understand the
concept of Brain-
Computer
Interfaces (BCIs)
and their
potential
applications in
various fields
Differentiate
Differentiate
between the
three types of
BCIs based on
their degree of
invasiveness:
invasive, non-
invasive, and
their respective
advantages and
disadvantages.
Discuss
Discuss
Neuralink's
mission to
develop fully
implantable,
wireless, and
highly functional
brain-machine
interface devices
that can help
people with
various
neurological
conditions and
their unique
approach to BCI
technology.
Recognize
Recognize
potential ethical,
societal, and
privacy concerns
with brain
implant
technology and
the need for
regulatory
frameworks and
guidelines for
responsible and
transparent use
of BCI
technology.
4. The CNS and
how it works
• The CNS receives sensory inputs, processes them,
and send motor outputs.
• The nervous system uses electrical signals to
transmit information
• The Brain is the central processor for higher order
thinking, memory and emotion.
5. CNS Injury and disease
• Injury or disease
interrupt the connection
between the CNS and the
rest of the body
• The CNS has a limited
ability to repair itself
• The location of injury has
a significant impact on
the loss of function
6. Brain Signal Measurement
• Common non-invasive techniques: EEG, MEG, fMRI
• Signals are prone to interference
• Precise location is hard to determine
fMRI machine
fMRI images
7. Invasive methods:
Brain Computer
Interface (BCI)
• BCI is directly implanted into
brain tissue
• Uses small needles called
micro-electrodes
• Very high spatial resolution
• High risk of infection,
bleeding, tissue damage.
• Neurosurgical procedure is
very risky
8. Recap
• The body communicates via electrical signals
• CNS damage can be irreparable
• Brain signals are hard to detect
• Invasive BCI offers the fastest and most accurate
measurements
• Restoring lost function could be possible using BCI
9. and BCI technology
• Significantly more electrodes
• Wireless capability for both
charging and information transfer
• Advanced brain signal processing
algorithms
10.
11. Neuralink
Surgery
• Surgical Robot for electrode insertion
• Faster and more reliable than human
• Significantly reduces surgery cost and risk
12.
13. Animal Models
• Macaque Monkeys:
• Very similar to humans biologically,
anatomically, and physiologically.
• Highly intelligent and trainable
• Pigs:
• Surprisingly also very similar to humans at the
level of organs, genetics, body function and the
immune system
• Highly intelligent and trainable
14.
15.
16.
17. Animal Models Success
Control of on-screen keyboard
Real time gameplay of “Pong”
• Accurate signal detection and processing
• Output signals have also been successfully
demonstrated in pigs
• Very promising results and high hopes
going into Human Trials
Pig hind-leg contraction induced by artificial signal
Computer
model of Pig leg
18. The future of BCI
and Ethical concerns
• Curing blindness
• Connecting the brain to phone
and internet
• Dangers of Surgery and device
malfunction
• Manipulation, privacy, unfair
advantage?
Editor's Notes
Hello and welcome to todays lecture!
We will be exploring one of the most exciting advancements in the field of neuroscience today!
That of course being the so called „Brain Machine Interfaces!”
Now don’t worry we will be working our way up to understand what excalty that even is.
So without wasting any more time, lets jump straight into a break down of whats to come:
First we will look at the basics of HOW our body communicates with itself
and the environment.
We then explore how damage to this system interrupts this communication.
Using that knowledge we will then have a look at how exactly we could go about measuring all of these signals being sent around your body.
That’s when we can finally dive into the heart of this lecture, Brain Machine interfaces. You will learn about how these technologies work and what the major difficulties are that we face.
Finally, all this information will help us understand how spectacular some of the current breakthrough in this space are, specifically looking at one company owned by a famous tech entrepreneur I am sure many of you have heard of before.
And to round off such a sci-fi topic we will have a think about the ethical considerations and potential future implications of such a disruptive technology.
Here are some key Learning Objectives for those of you keen enough to revisit this lecture in time for the exams.
Now without further ado, lets jump right in!
Imagine the nervous system as an intricate web of communication lines that help your body navigate through the world.
This complex network can be broken down into two main sections: the central nervous system (CNS) and the peripheral nervous system (PNS).
Think of the PNS as the messenger service, connecting your brain and spinal cord (the CNS) to the rest of your body. It's like the telephone lines running through your neighborhood, making sure all your body parts are in touch with each other.
Now, how does this communication actually work?
Well, it's all thanks to electrical signals called action potentials that zip through the network at lightning speed. And the stars of this high-speed system are the neurons, they are the cellular building blocks that make everything possible.
Moving on to the central nervous system, which is like the command center of this vast operation. It consists of the brain and spinal cord, which handle the heavy lifting when it comes to processing and coordinating all the incoming and outgoing information.
The brain is the mastermind behind the scenes, taking care of higher-order thinking, memory, and emotions. Meanwhile, the spinal cord acts like a busy highway, carrying sensory data from the body to the brain and then sending motor commands from the brain back to the muscles.
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Picture this: the central nervous system (CNS) is like a grand control center that manages the communication between your brain and the rest of your body. But, what happens when this control center gets damaged? Let's find out, in a nutshell.
CNS injuries can happen because of unfortunate events like car accidents or due to diseases like multiple sclerosis or Parkinson's. To make things clearer, let's take a look at this diagram on the right. See those colorful lines? They show us the different levels of loss of function depending on the severity of the injury.
Imagine there's a nasty injury right at the red line – that could cause someone to lose control of both their arms and legs, which is called quadriplegia. But, if the damage is a bit lower, like at the green line, the loss of function would only be from the hips down, known as paraplegia.
Now, here's the not-so-great news: the CNS doesn't have the best track record when it comes to healing itself. Unlike our trusty bones that can often recover without much medical help, the CNS is a different story. In many cases, like paralysis, complete recovery may not be possible.
So, what does this mean for people with CNS injuries or diseases? Well, they might need long-term medical care, rehabilitation, and ongoing support to manage their symptoms and make the most out of life.
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Imagine trying to eavesdrop on the conversations happening inside your brain. There are several ways to tune into these brain signals, ranging from non-invasive methods, which don't require surgery, to invasive ones, which involve going under the knife.
Non-invasive techniques come with fancy names like electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI).
Despite their complexity, they all have one thing in common: they measure the electrical or magnetic fields generated by our brains as we think or perform actions.
EEG reads our brain's electrical chatter through sensors on our heads, while MEG listens to the magnetic fields our brains create. Here on the left we can see the output brain waves. That data looks very messy and doesn’t convey much to the untrained eye
fMRI, on the other hand, keeps an eye on blood flow changes in the brain to decipher its workings.
We can take a look here at the bottom right of the screen. These are some very pretty looking images for sure, but the measured brain activity looks very spread out. This makes it exceedingly difficult to determine exactly what activity means what.
So to re-iterate:
Non-invasive methods are relatively safer and more convenient, but their signals can be weak and easily disrupted by other sources of noise.
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Lets get back to the "eavesdropping" analogy. Well, Imagine trying to eavesdrop on a conversation from outside a busy room. It's difficult, right? That's pretty much what it's like when we try to read brain signals using non-invasive methods.
So, scientists thought, why not go directly to the source?
Enter invasive methods, which allow us to tap right into the brain and pick up its activity with more accuracy and speed, without any interference from other signals or noise.
Sounds great, right? But... there's a catch.
These methods come with their own set of risks, like needing complex brain surgery where there can be a high chance of infection, bleeding, or tissue damage.
And we can't ignore the ethical concerns of planting devices in people's brains, plus the possibility of malfunctions.
Now, take a look at this diagram on the right. You'll see that invasive BCIs use these tiny wires called microelectrodes to record and stimulate neural activity.
It's like placing a microphone right next to the speaker in that busy room.
But fear not, BCI devices have been evolving, becoming smaller, safer, and more comfortable for patients.
We are making signifciant progress in understanding the brain, but we must carefully weigh the risks and benefits of these invasive methods.
So, we've talked about Brain-Computer-Interfaces, which are designed to read brain signals with high accuracy.
But you might be wondering, what can we actually do with these "brain signals," and why is it so important to get such precise readings?
Great question!
The brain is constantly churning out signals that, on the surface, can look like a chaotic jumble. To make sense of this data, we don‘t only need accurate readings but also clever ways to distinguish whether a specific brain signal corresponds to, say, lifting your left arm or right foot.
Let's pause for a moment to recap what we've learned so far and highlight the key challenges we're currently grappling with:
The body communicates using electrical signals through the central and peripheral nervous systems, with the brain acting as the decision-making hub.
CNS injuries and diseases are notoriously difficult, if not impossible, to heal, making them life-altering and devastating.
To better understand brain signals, we've developed advanced methods of signal detection.
The ultimate goal is to pinpoint specific signals related to particular functions, like moving your foot, and then send that signal to the target muscle by bypassing the damaged connection.
However, there are several obstacles we must overcome to successfully restore lost functions, such as walking, in people with paralysis:
1. Brain signals are incredibly messy and complex; we must decipher them to understand what each signal represents.
2. Implanting devices directly into the brain, the body's most vital and sensitive organ, is a challenging and risky endeavor.
3. Device longevity is crucial. To minimize risk, we want to reduce the need for surgeries by developing long-lasting, and preferably upgradeable, devices.
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CNS
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This is where Elon Musk's company Neuralink comes in.
Neuralink has been pushing the boundaries of BCI technology and is currently seeking FDA approval for human trials in the US.
Now What makes their BCI so revolutionary?
Take a look at this image on the left. That's Neuralink's newest chip design, complete with a battery, a tiny computer, and thousands of ultra-thin wires called electrodes.
This chip has a whopping 10x more electrodes than previous devices, which only had about 200-300.
It's fully implantable, reducing contact between the brain and the outside world. Plus, it can be wirelessly charged and updated, making it incredibly future-proof.
Down at the bottom here, you can see that the enormous amount of data recorded by the chip is analyzed by a highly sophisticated program. This program learns and adapts as it gathers more information from the user.
Their ultimate goal? To detect brain signals for leg movement and bypass the damaged section of the spinal cord, allowing patients to regain control and walk again.
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Here is just a quick visualisation:
On the left we have an individual who ash lost the ability to walk due to a severed spinal cord marked by the white cross.
The implanted device will aim to detect the signals to move the leg, and send them wirelessly to a second device, bypassing the injury.
Here on the right we can see an animation of how this is supposed to look.
A truly remarkable goal.
If all this wasn’t enough Neuralink have developed their own surgery robot. This is truly groundbreaking!
Here on the left we can see how this device looks like.
The Neuro-surgery required to implant the BCI is one of the largest difficulties to overcome.
Both an extreme amount of precision and speed are required to execute the surgery safely.
Nueralinks surgery robot uses advanced video processing to avoid any critical blood vessels when inserting the micro-electrodes.
It does so in less time and more precisely and than traditional neuro-surgeons can.
Here on the right we can see a demo of a needle inserting the various electrodes.
But to really get an idea of how this would work I want you to have a look at their live demo of the robot on a model brain.
Keep in mind, the robot needs to re-assess where all the critical blood vessels are and where the target site is after each implantation, because the brain could have moved.
Imagine trying to insert a needle thinner than a human hair, whilst the entire target is shifting and moving with each heartbeat.
The use of anmial models is always very controversial. However, in the case of such complicated technology, it is crucial that we use animal models that are as close to us humans as possible in many ways.
This si the reason Neuralink has been using Macaque monkeys as well as pigs for their animal trials.
I want to clarify that Neuralink takes animal well-fare and wellbeing extemely serious and find themselves under a lot of regulatory scrutiny.
Now let us look at some mind.blowing demos of what the current BCI of neurlaink is capable of:
The N1 device has already been successfully implanted in pigs and monkeys.
To demonstrate how accurate and fast the device works, Neuralink demonstrates a Macaque monkey using an on-screen keyboard as well as playing the video game “Pong” in real time, using just its brain!
As for demonstrating their progress towards curing paralysis, on the right we see a pig than has been outfitted with both a Neuralink device, as well as a number of chips on its leg muscles. This demonstrates not only how accurate their digital model of the leg is but they even demonstrate a successful signal transmission where the induce a hind-leg contraction with an artificial signal.
All quite remarkably really!
Now let us take a look at the exciting progress neuralink has already made in their animal trials.
The implanted device has been demonstrated to work for both the control of an on-screen keyboard for typing as well as the real.time control of the video game "Pong". As can be seen on the bottom left here.
These trials not only show that the signals are being interpreted very accurately but also that they can be transmitted accurately very quickly.
On the right, we can see a pig and a computer model of the pigs hind-leg. This deomnstration showed us Neuralinks progress towards curing paralysis by using the data they have gotten from the pig itself when it was walking, to then induce hind-leg contraction acrtifically. They do so by having a second set of devices on the pigs leg that can transmit a signal directly into the muscles.
This demonstartes just how good their models and devices are getting. Let us now look at future goals and implications of this technology.
With human trials currently being approved the hopes for this technology are very high. Neuralink aims to not only heal people who are paralysed but also in the future also intend to restore vision to blind people.
Elon Musk has even gone as far as to predict that we will one day use this technology to ineract with our phones and the internet directly, basically upgrading our current abilities.
Now this all sounds like science fiction for now but let us have a think about the potential ethical problems here:First lets focus on the current research. The brain is arguably one of our most vital and sensitive organ and any form of damage is critical. BCI implantation must therefore be treated with absolute care. Any malfunction coul also pose a serious risk for the patient.
As for potential abuse and ethical concerns, some worry that brain implants could be used for coercive or manipulative purposes, such as by governments or corporations seeking to exert control over individuals.
Others have raised questions about the ethics of conducting invasive procedures on human subjects, particularly those who may not fully understand the potential risks and benefits.
Given these concerns, there has been a growing call for ethical guidelines and regulatory frameworks to ensure that brain implant technology is developed and used in a responsible and transparent manner.
This includes ongoing dialogue between stakeholders, including researchers, policymakers, and members of the public, to establish best practices and guidelines for the responsible use of brain implant technology.
I invite you to have a think for yourself about the potential risks and benefits of such a technology.
Thank you very much for your time, I hope you enjoyed todays lecture on the exciting field of BCI and the current developments.
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