BCI technology has the potential to transform how humans interact with computers by decoding brain activity. The article discusses recent advances in BCI, including helping a paralyzed man walk again through signals sent to electrodes on his spinal cord. However, current BCI systems that do not require brain surgery, like a £20,000 EEG helmet, can only detect rudimentary levels of thought. While BCI may improve medical treatments and enable new forms of entertainment, ethical issues around privacy, consent, and addiction need consideration to ensure responsible development and use of the technology.
This presentation lists some brain-computer interface technologies that exist today and that could be attainable in future. At the end, philosophical comments about this kind of technology and transhumanism are purposed, in order to reveal the key difference between a humain brain and artificial intelligence.
This presentation is given in (2015) . As the power of modern computers grows alongside our understanding of the human brain, we move ever closer to making some pretty spectacular science fiction into reality.
A Brain-Computer Interface (BCI) provides a new communication channel between the human brain and the computer. The 100 billion neurons communicate via minute electrochemical impulses, shifting patterns sparking like fireflies on a summer evening, that produce movement, expression, words. Mental activity leads to changes of electrophysiological signals.
This presentation lists some brain-computer interface technologies that exist today and that could be attainable in future. At the end, philosophical comments about this kind of technology and transhumanism are purposed, in order to reveal the key difference between a humain brain and artificial intelligence.
This presentation is given in (2015) . As the power of modern computers grows alongside our understanding of the human brain, we move ever closer to making some pretty spectacular science fiction into reality.
A Brain-Computer Interface (BCI) provides a new communication channel between the human brain and the computer. The 100 billion neurons communicate via minute electrochemical impulses, shifting patterns sparking like fireflies on a summer evening, that produce movement, expression, words. Mental activity leads to changes of electrophysiological signals.
Some futurists and artificial intelligence experts envision credible scenarios in which synthetic brains will, within this century, extend the functionality of our own brains to the point where they will rival and then surpass the power of an or-ganic human brain. At the same time, humans seem to have no limitations when it comes to finding ways to attack the computerized devices that others have invent-ed. Attackers have successfully compromised computers, mobile phones, ATMs, telephone networks, and even networked power grids. If neural devices fulfill the promise of treatment, and enhance our quality of lives and functionality—which appears likely, given the preliminary clinical success demonstrated from neuropros-thetics— their use and adoption will likely grow in the future. When this happens, inevitably, a wide variety of legal, security, and public policy concerns will follow. We will begin this article with an overview of brain implants and neural devic-es and their likely uses in the future. We will then discuss the legal issues that will arise from the intersection among neural devices, information security, cybercrime, and the law.
A LOW COST EEG BASED BCI PROSTHETIC USING MOTOR IMAGERY ijitcs
Brain Computer Interfaces (BCI) provide the opportunity to control external devices using the brain
ElectroEncephaloGram (EEG) signals. In this paper we propose two software framework in order to
control a 5 degree of freedom robotic and prosthetic hand. Results are presented where an Emotiv
Cognitive Suite (i.e. the 1st framework) combined with an embedded software system (i.e. an open source
Arduino board) is able to control the hand through character input associated with the taught actions of
the suite. This system provides evidence of the feasibility of brain signals being a viable approach to
controlling the chosen prosthetic. Results are then presented in the second framework. This latter one
allowed for the training and classification of EEG signals for motor imagery tasks. When analysing the
system, clear visual representations of the performance and accuracy are presented in the results using a
confusion matrix, accuracy measurement and a feedback bar signifying signal strength. Experiments with
various acquisition datasets were carried out and with a critical evaluation of the results given. Finally
depending on the classification of the brain signal a Python script outputs the driving command to the
Arduino to control the prosthetic. The proposed architecture performs overall good results for the design
and implementation of economically convenient BCI and prosthesis.
A Brain –computer Interface (BCI) is a technology which allows a human to control a computer, peripheral, or other electronic device with thought.
The computer translate electric signals into data which is used to control a computer or a device linked to a computer
Brain Computer Interface and Artificial Brain: Interfacing Microelectronics a...Lk Rigor
Signals from the brain can be processed to improve quality of human life. Such is the aim of biotechnology, to harness cellular and biomolecular processes to develop technologies that can improve human life. How can brain computer interface (BCI) and artificial brain achieve that?
Presentation on Brain Computer Interface. It describes how our brain is used as a signaling mechanism for computer. different types of BCIs and its applications.
A brain-computer interface (BCI), sometimes called a mind-machine interface (MMI), or sometimes called a direct neural interface (DNI), synthetic telepathy interface (STI) or a brain-machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain-computer interface in scientific literature.The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.[3] Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.
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.
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
Some futurists and artificial intelligence experts envision credible scenarios in which synthetic brains will, within this century, extend the functionality of our own brains to the point where they will rival and then surpass the power of an or-ganic human brain. At the same time, humans seem to have no limitations when it comes to finding ways to attack the computerized devices that others have invent-ed. Attackers have successfully compromised computers, mobile phones, ATMs, telephone networks, and even networked power grids. If neural devices fulfill the promise of treatment, and enhance our quality of lives and functionality—which appears likely, given the preliminary clinical success demonstrated from neuropros-thetics— their use and adoption will likely grow in the future. When this happens, inevitably, a wide variety of legal, security, and public policy concerns will follow. We will begin this article with an overview of brain implants and neural devic-es and their likely uses in the future. We will then discuss the legal issues that will arise from the intersection among neural devices, information security, cybercrime, and the law.
A LOW COST EEG BASED BCI PROSTHETIC USING MOTOR IMAGERY ijitcs
Brain Computer Interfaces (BCI) provide the opportunity to control external devices using the brain
ElectroEncephaloGram (EEG) signals. In this paper we propose two software framework in order to
control a 5 degree of freedom robotic and prosthetic hand. Results are presented where an Emotiv
Cognitive Suite (i.e. the 1st framework) combined with an embedded software system (i.e. an open source
Arduino board) is able to control the hand through character input associated with the taught actions of
the suite. This system provides evidence of the feasibility of brain signals being a viable approach to
controlling the chosen prosthetic. Results are then presented in the second framework. This latter one
allowed for the training and classification of EEG signals for motor imagery tasks. When analysing the
system, clear visual representations of the performance and accuracy are presented in the results using a
confusion matrix, accuracy measurement and a feedback bar signifying signal strength. Experiments with
various acquisition datasets were carried out and with a critical evaluation of the results given. Finally
depending on the classification of the brain signal a Python script outputs the driving command to the
Arduino to control the prosthetic. The proposed architecture performs overall good results for the design
and implementation of economically convenient BCI and prosthesis.
A Brain –computer Interface (BCI) is a technology which allows a human to control a computer, peripheral, or other electronic device with thought.
The computer translate electric signals into data which is used to control a computer or a device linked to a computer
Brain Computer Interface and Artificial Brain: Interfacing Microelectronics a...Lk Rigor
Signals from the brain can be processed to improve quality of human life. Such is the aim of biotechnology, to harness cellular and biomolecular processes to develop technologies that can improve human life. How can brain computer interface (BCI) and artificial brain achieve that?
Presentation on Brain Computer Interface. It describes how our brain is used as a signaling mechanism for computer. different types of BCIs and its applications.
A brain-computer interface (BCI), sometimes called a mind-machine interface (MMI), or sometimes called a direct neural interface (DNI), synthetic telepathy interface (STI) or a brain-machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain-computer interface in scientific literature.The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.[3] Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.
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.
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
1. Assessment For: Analytical Reading and Viewing (20 marks)
I played a video game just by thinking — the mind-reader revolution is real
From leisure to healthcare, ‘brain-computer’ interfaces could be a part of life within five years. Rhys Blakely tries one for himself
Friday June 16 2023, 6.30pm, The Times
In a laboratory in central London, I’ve been asked to play a simple video game. Each time a red robot appears on a screen, I have
to instruct a robotic arm to pick it up. But this won’t involve pressing a button or waggling a joystick.
Instead, I merely think about making a fist. My hand does not move, but the robot arm on the screen does. A machine is decoding
my thoughts and then translating them into action.
“Not long ago, we thought this would be impossible,” said Allan Ponniah, a consultant at the Royal Free NHS Foundation Trust and
one of the founders of Cogitat, the company behind the system.
Buoyed by a surge of technical progress, he now believes that this kind of “brain-computer interface” (BCI) could be part of
everyday life within five years — that by linking the central nervous system to machines it will be possible to create new forms of
entertainment, new ways of working and new medical treatments.
After decades of research, BCIs have recently shown glimpses of their potential. “If you’re thinking about clinical applications, then
absolutely we’re at the point where science fiction is starting to become a reality,” said Andrew Jackson, professor of neural
interfaces at Newcastle University.
One case study made global headlines last month, when researchers in Switzerland used a BCI to help a paralysed man walk
again. Gert-Jan Oskam, 40, had lost the use of his legs 12 years ago after an accident that damaged his spinal cord at the neck.
Two small circular sections of his skull were removed and an array of electrodes were placed on to the surface of his brain.
These monitor his brain activity, which is decoded by an AI, which sends a stream of signals to a second set of electrodes
implanted in the small of his back. These stimulate his spinal cord, causing his leg muscles to flex and allowing him to walk.
Professor Zubair Ahmed, director of the Centre for Trauma Sciences Research at the University of Birmingham, thinks that these
techniques are destined to liberate many paralysis victims from their wheelchairs.
2. Another BCI system, developed at the University of Tübingen in Germany, has allowed a “locked-in” paralysis victim, who could not
speak or move at all, to communicate entire sentences. Again, it works by decoding his brain activity.
These early applications have been medical, but others have their sights set on larger markets. Elon Musk has founded Neuralink,
a company built on the premise that brain implants which allow people to communicate directly with supercomputers will one day
be as common as wireless earbuds are today.
Last month, the UK’s information watchdog warned that new regulations may be needed to police technologies that may, quite
literally, read your thoughts.
The system I tried out this week at Imperial College has one big difference with the BCI that helped Oskam walk: there was no
need to undergo brain surgery. Instead, you wear a £20,000 helmet that contains 21 electrodes. They monitor the electrical activity
of billions of neurons, generating a stream of electroencephalogram (EEG) data.
The signal is far less clear than that from a surgically implanted device that sits on the brain itself. Using an EEG helmet to monitor
brain activity is like trying to follow a football game by listening to the roar of the crowd from outside the ground, Jackson said.
But Cogitat has shown that useful information can still be harnessed. Last year its technology beat a field of rivals, including a team
from the US military, in a competition that called for it to determine “behavioural intentions using brain waves” picked up through
EEG.
The demonstration I took part in involved five to ten minutes of “training”, where I flexed my hands into fists. Cogitat’s software
homed in on the motor cortex — a region of the brain involved in movement — and was able to detect patterns of electrical activity
related to this gesture.
The next step involved a video game where you play the part of a sorcerer. When you think about making a fist, a sphere of
magical energy grows on the screen. Your fist doesn’t move, but the sphere grows. It is a very unusual feeling.
“It’s addictive,” said Dimitrios Adamos, a co-founder of Cogitat, which has been spun out of Imperial College London.
“We think we can use this to control prosthetic limbs, to drive drones, to navigate in virtual worlds,” Ponniah added.
Early next year the Cogitat system is due to be part of an NHS trial to look at whether it can help in the rehab of stroke patients
who have lost use of their arms. The machine will act a little like a coach: it should be able to show them that they’re using the
correct part of their brains to instruct their hands to move — even if they’re hands don’t immediately respond. Repeating these
exercises should, it is hoped, lead to improvements.
Where the technology goes from there is an open question. “The big tech players are very interested in integrating these kinds of
neural interfaces into virtual reality headsets, into earphones and so on,” said Jackson.
3. He stressed, however, that there was a large gulf between what could be achieved at present with a surgically implanted device
and with an EEG helmet that sat on your head. The benefits of brain surgery for a paralysis victim may be clear. But how many
people, he wonders, would have a hole drilled in their head in order to commune more closely with a video game?
Ponniah, as you might imagine, is bullish on what will be possible without resorting to surgery. Already, Cogitat is able to tap into a
person’s thoughts, albeit at a rudimentary level. He believes that the technology will improve, the hardware will become cheaper,
and that people will value the experience.
“When you imagine something and you see it actually happening — it’s mind-blowing,” he said. “This isn’t an incremental step. This
is a total transformation in how people can interact with computers.”
Comprehension Questions:
1. Assess the potential impact of brain-computer interface (BCI) technology on medical advancements. Discuss how BCI systems
could revolutionise treatments for paralysis, stroke rehabilitation, and communication disorders, citing examples from the article and
your own knowledge. [4 marks]
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
4. _________________________________________________________________________________________________________
_________________________________________________________________________________________________________
2. Analyze the ethical implications of using BCI technology for non-medical purposes, such as entertainment and gaming. Consider
factors such as privacy, consent, and the potential for misuse or addiction to support your viewpoint. [2 marks]
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
3. Evaluate the challenges and limitations of current BCI technology and societal acceptance. [2 marks]
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
5. 5. Discuss the potential long-term implications of integrating neural interfaces into everyday technology, considering factors
such as human-computer interaction, privacy, and the impact on society as a whole. [4 marks]
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
_________________________________________________________________________________________________________
6. Decode the article using CCTAP
- Contention
- Context
- Tone
- Audience
- Purpose
6. Possible Answers:
1. In terms of medical advancements, BCI technology has the potential to revolutionize treatments for paralysis, stroke rehabilitation,
and communication disorders. For example, the article highlights how BCI systems have enabled paralyzed individuals to regain
mobility and communicate. Additionally, BCI technology could lead to more efficient and personalized rehabilitation programs,
allowing stroke patients to regain motor function more quickly. Overall, BCI technology has the potential to significantly improve the
quality of life for individuals with medical conditions.
2. The use of BCI technology for non-medical purposes raises several ethical considerations. Privacy becomes a concern, as the
technology involves accessing and interpreting an individual's thoughts. Consent is another important factor, as individuals should
have the right to control when and how their brain activity is monitored and utilized. Furthermore, there is the potential for misuse or
addiction, as gaming and entertainment applications could exploit the direct access to the brain. Striking a balance between
innovation and ethical considerations is vital to ensure the responsible and beneficial use of BCI technology.
7. 3. Current BCI technology faces various challenges and limitations. Technically, there is a need for improved signal quality
and accuracy to enhance the user experience and expand the range of applications. Societally, acceptance and understanding of
BCI technology need to be fostered, as there may be concerns and misconceptions about the invasiveness or potential risks.
Overcoming these challenges requires interdisciplinary collaboration, investment in research and development, and education to
raise awareness and acceptance of BCI technology.
5. Integrating neural interfaces into everyday technology, as envisioned by companies like Neuralink, has both potential benefits and
risks. On the positive side, it could lead to more seamless human-computer interaction, enabling faster and more intuitive control of
devices. It could also open up new possibilities for individuals with disabilities, enhancing their independence and participation in
society. However, there are risks related to privacy and security, as direct access to the brain raises concerns about data protection
and potential misuse. Additionally, the widespread integration of neural interfaces may lead to societal changes and ethical dilemmas
that need to be carefully considered and addressed.
6. Contention: The article discusses the advancements and potential implications of brain-computer interface (BCI) technology.
Context: The article provides examples of various BCI systems and their applications, such as enabling paralyzed individuals to
regain mobility and communication abilities. It also mentions companies like Neuralink and their goals for integrating neural interfaces
into everyday technology.
8. Tone: The tone of the article is informative and objective. It presents facts and information about BCI technology without expressing
personal opinions or biases.
Audience: The article seems to target a general audience interested in technology and medical advancements. It assumes a basic
understanding of the topic but also provides explanations and examples to make the content accessible to a wider readership.
Purpose: The purpose of the article is to educate readers about BCI technology, its current capabilities, and potential future
developments. It aims to inform readers about the benefits, challenges, and ethical considerations associated with BCI systems.