Our update for the beginning of 2014, about self-directed evolution from the constraint of biology to a substrate-independent mind (SIM) and personality, a process alluded to in science fiction with the oft-confusing term "uploading". In this talk, I present the most realistic development route to SIM via whole brain emulation (WBE), neural prostheses and neural interfaces. I describe how I contribute to make this happen, as effectively as I can, through my work as it is presented at carboncopies.org. Then, I draw your attention to the most significant development in the field at this moment, an opportunity for a widely applicable Platform for high resolution neural interfaces. That platform has the potential in the near-term to provide the access needed for true brain machine interfaces, cognitive neural prostheses and the type of data acquisition that is essential for whole brain emulation.
With the introduction of Blue Brain technology, which is a reverse engineering, we can overcome all the brain disorders and diseases. Blue Brain is the name of the world’s first virtual brain which makes a machine, function as a human brain. Even after the death of the person the complete functional attribute of a human brain can be stored in that and can be used for further development.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how Neurosynaptic chips are becoming economic feasible for supercomputing applications. Neurosynaptic chips use a different architecture, one that mimics the brain with neurons and synapses. These neurons and synapses are built with conventional architecture. This presentation describes the advantages and disadvantages of synaptic chips when compared to conventional chips and how rapid rates of progress in speed, density, and power efficiency are making synaptic chips economically feasible for supercomputing applications. The biggest disadvantage for synaptic chips is in software; a new operating system and application software are needed.
With the introduction of Blue Brain technology, which is a reverse engineering, we can overcome all the brain disorders and diseases. Blue Brain is the name of the world’s first virtual brain which makes a machine, function as a human brain. Even after the death of the person the complete functional attribute of a human brain can be stored in that and can be used for further development.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how Neurosynaptic chips are becoming economic feasible for supercomputing applications. Neurosynaptic chips use a different architecture, one that mimics the brain with neurons and synapses. These neurons and synapses are built with conventional architecture. This presentation describes the advantages and disadvantages of synaptic chips when compared to conventional chips and how rapid rates of progress in speed, density, and power efficiency are making synaptic chips economically feasible for supercomputing applications. The biggest disadvantage for synaptic chips is in software; a new operating system and application software are needed.
We are taking the paper presentation of Blue brain technology concept here we include the definition of blue brain, How
it is possible? , Uploading human brain, what is virtual brain, function of a brain, advantages and disadvantages of blue brain
technology? With the advancement in technology, human, the ultimate source of information and discovery should also be preserved.
In other words, human is does not live for thousands of years but the information in his mind could be saved and used for several
thousands of years. So, even after the death of a person we will not lose the knowledge, intelligence, personalities, feelings and
memories of that man that can be used for the development of the human society.
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.
Blue brain enables humans to give new dimensions to science and technology and make enormous development in making the best possible enlightenment to the present scenario.the details can be seen by going though the power point presentation
The Virtual brain or machine which can function like human brain, which would work even after death of the human is called the blue brain.
Under this topic I would basically cover the functionalities of the blue brain, its advantages and disadvantages, what actually a virtual brain is etc.
Many research work is going under this field and expected to release after 2020 approx. This is a new science technology. For this, we should have a good knowledge of the brain and its internal parts along with their functions. Basically, this is being done to upload human brain into machine so that we need to take no effort for thinking or remembering. Even after death, the virtual brain will act as a man.
Blue brain enables humans to give new dimensions to science and technology and make enormous development in making the best possible enlightenment to the present scenario.the details can be seen by going though the power point presentation
ARTIFICIAL brain ......AI
Artificial brain (or artificial mind) is a term commonly used in the media[1] to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating "artificial brains" and brain emulation plays three important roles in science:
An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.
A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, at least in theory, to create a machine that has all the capabilities of a human being.
A long term project to create machines exhibiting behavior comparable to those of animals with complex central nervous system such as mammals and most particularly humans. The ultimate goal of creating a machine exhibiting human-like behavior or intelligence is sometimes called strong AI.
An example of the first objective is the project reported by Aston University in Birmingham, England[2] where researchers are using biological cells to create "neurospheres" (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer's, motor neurone and Parkinson's disease.
The second objective is a reply to arguments such as John Searle's Chinese room argument, Hubert Dreyfus' critique of AI or Roger Penrose's argument in The Emperor's New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper "Computing Machinery and Intelligence".[3]
The third objective is generally called artificial general intelligence by researchers.[4] However, Ray Kurzweil prefers the term "strong AI". In his book The Singularity is Near, he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.
We are taking the paper presentation of Blue brain technology concept here we include the definition of blue brain, How
it is possible? , Uploading human brain, what is virtual brain, function of a brain, advantages and disadvantages of blue brain
technology? With the advancement in technology, human, the ultimate source of information and discovery should also be preserved.
In other words, human is does not live for thousands of years but the information in his mind could be saved and used for several
thousands of years. So, even after the death of a person we will not lose the knowledge, intelligence, personalities, feelings and
memories of that man that can be used for the development of the human society.
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.
Blue brain enables humans to give new dimensions to science and technology and make enormous development in making the best possible enlightenment to the present scenario.the details can be seen by going though the power point presentation
The Virtual brain or machine which can function like human brain, which would work even after death of the human is called the blue brain.
Under this topic I would basically cover the functionalities of the blue brain, its advantages and disadvantages, what actually a virtual brain is etc.
Many research work is going under this field and expected to release after 2020 approx. This is a new science technology. For this, we should have a good knowledge of the brain and its internal parts along with their functions. Basically, this is being done to upload human brain into machine so that we need to take no effort for thinking or remembering. Even after death, the virtual brain will act as a man.
Blue brain enables humans to give new dimensions to science and technology and make enormous development in making the best possible enlightenment to the present scenario.the details can be seen by going though the power point presentation
ARTIFICIAL brain ......AI
Artificial brain (or artificial mind) is a term commonly used in the media[1] to describe research that aims to develop software and hardware with cognitive abilities similar to those of the animal or human brain. Research investigating "artificial brains" and brain emulation plays three important roles in science:
An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive neuroscience.
A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, at least in theory, to create a machine that has all the capabilities of a human being.
A long term project to create machines exhibiting behavior comparable to those of animals with complex central nervous system such as mammals and most particularly humans. The ultimate goal of creating a machine exhibiting human-like behavior or intelligence is sometimes called strong AI.
An example of the first objective is the project reported by Aston University in Birmingham, England[2] where researchers are using biological cells to create "neurospheres" (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer's, motor neurone and Parkinson's disease.
The second objective is a reply to arguments such as John Searle's Chinese room argument, Hubert Dreyfus' critique of AI or Roger Penrose's argument in The Emperor's New Mind. These critics argued that there are aspects of human consciousness or expertise that can not be simulated by machines. One reply to their arguments is that the biological processes inside the brain can be simulated to any degree of accuracy. This reply was made as early as 1950, by Alan Turing in his classic paper "Computing Machinery and Intelligence".[3]
The third objective is generally called artificial general intelligence by researchers.[4] However, Ray Kurzweil prefers the term "strong AI". In his book The Singularity is Near, he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, director of the Blue Brain project (which is attempting brain emulation), made a similar claim (2020) at the Oxford TED conference in 2009.
Implanted Neural Prosthetics - an IntroductionJennifer French
Explains the benefits of neural prostheses, or devices that can restore motor, sensory or cognitive function that might have been damaged as a result of a spinal cord injury or disease (SCI/D). It will provide an introduction to a new model to make neural prosthesis more accessible for those living with SCI/D.
Explains the benefits of neural prostheses, or devices that can restore motor, sensory or cognitive function that might have been damaged as a result of a spinal cord injury or disease (SCI/D). It will provide an introduction to a new model to make neural prosthesis more accessible for those living with SCI/D.
The Neuroprosthetics is an emerging field in the Health Care & Engineering Sector.
In this Technology a Specialized Chip is implanted in the Brain & by using Electronic & Mechanical Components the Brain Waves in converted into respective Mechanical Movements.
Neuroprosthetics is specifically used for patients suffering from Paralysis, Amoyotropic Lateral Sclerosis & Multiple Sclerosis.
This Field is in its Initial Stage in terms of Research specifically in India.This field requires a lot of research specially for India & Developing Countries.
Neuroprosthetics will be an Transforming World for Health Sector in the future.
The thought of mind-controlled prosthetics might sound like something out of the "Star Wars" movies. Yet thanks to the company DARPA, this could soon become a reality/
Prosthetic hand using Artificial Neural NetworkSreenath S
Real Time Moving Prosthetic.
It's an innovative technology,improvising the prosthetic field with the application of Artificial Neural Network technology.Unlike anyother prosthetic hand, this has a Real Time data accquisition system which varies the data set according to the input signal.This is customisable to any amputee. The hardware was developed by simple and easily available materials.We have come up with a new technology in the prosthetic field.
Article Overview "Reach and grasp by people with tetraplegia using a neurally...Ilya Kuzovkin
This presentation is article overview given at the Computational Neuroscience seminar in the University of Tartu. In my opinion at the moment this is the most prominent BCI system out there.
From Social Networks to Artificial Neural Networks. How NeuroMorphic Computation will Solve the big problems of Big Data and the Internet of Things, in the age of PostProgrraming
It is a mind-to-movement system that allows a quadriplegic man to control a computer using his thoughts.
The system is to help those who have lost control of their limbs, or other bodily functions such as patients with spinal cord injury to operate various gadgets such as TV, Computer, Lights, Fan etc.
It monitors brain activity in the patient and converts the intention of the user into computer commands
The Dawn of the Age of Artificially Intelligent NeuroprostheticsSagar Hingal
A summary or an overview of the existing technologies that encapsulate the concepts of NeuroScience and Bio-Technology using the enhanced methods of Artificial-intelligence.
In this review paper, there are several case studies and methodologies of implementations of neuroprosthetics as well as how A.I (Artificial Intelligence) is evolved over the period of time and what is next on the future.....
everything in the world is getting artificial.now its time to create an artificial brain.these technology makes man completely dependent on machine.technology is created by human,now the technology is creating human.we all have a problem of remembaring some
situations or things sometimes we remember sometimes we fail to remember by if we have blue brain it remembers the situations or things from atleast past 100 years means it stores the information regarding 100 years.
This is the seminar presentation on brain gate which i represented in my college in final year for degree. This is the technology under development and have successfull result on human as well as animals. This technology is boon for physically disabled and paralysed person.
This presentation is about the Blue Brain project of IBM. Blue brain is a simple chip that can be installed into the human brain for which the short term memory and volatile memory at the old age can be avoided. Virtual brain is an artificial brain, which does not actually the natural brain, but can act as the brain. Intelligence ,Knowledge and skill of a person can be made eternal. The complete information about the blue brain project is present in the presentation.
An ongoing attempt by scientists to recreate a mechanical brain which can works totally like human brain. A ongoing project on it is Blue Brain of IBM.
An ANN depends on an assortment of associated units or hubs called fake neurons, which freely model the neurons in an organic cerebrum. Every association, similar to the neurotransmitters in an organic cerebrum, can send a sign to different neurons. A counterfeit neuron that gets a sign at that point measures it and can flag neurons associated with it.
The Blue Brain Project is the first attempt to reverse-engineer the brain of
mammalian, so that simulations of the function of brain can be understood. BLUE BRAIN is the
name of the world's first virtual brain, which is a machine that can function as human brain.
Today, scientists are attempting to create an artificial brain that can think, respond, take decision,
and store anything in memory as like humans do. The primary goal of this project is to preserve
the knowledge, intelligence, personalities, feelings and memories of a person that can be used for
the development of the human society.
BCI or DNI is a direct communication pathway between an enhanced or wired brain and an external device. DNIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. Advances toward
substrate-independent
minds
Self-directed evolution to SIM
via Whole Brain Emulation,
neural prostheses & neural
interfaces
Neural Interfaces, Neural Prostheses
and Whole Brain Emulation
Randal A. Koene
carboncopies.org
methodology at carboncopies.
org
most significant development:
a true Neural Interfacing
Platform for BMI, cognitive
neural prostheses and WBE
2. What and Why
See: http://koene.carboncopies.org
Objective:
Substrate-Independent Mind (SIM)
Feasible method:
Whole Brain Emulation (WBE)
Mental processes Emerge
Bio to WBE transfer:
“Mind Uploading”
Generate in other substrate:
Supporting evidence from
neuro-prosthetic development
Mind independent of substrate
(or platform)
Like PC on Mac
Exceeding
personal
limitations
A most Adaptable
Species beyond
this tiny sliver of
Space & Time
3. Whole Brain Emulation (WBE):
Reverse Engineering of an Big black box
STRUCTURE Individual’s Mind
See: http://koene.carboncopies.org
Connectome
emulation
prosthetic
function
simulation
Black box I/O
System Identification
of pieces: FUNCTION
Berger
system identification
Representations &
Platforms: EMULATE
Spike Prediction
Test & Improve:
ITERATE
ROADMAP
4. My work through Carboncopies.org
Maintain & Update ROADMAP
Publish & Inform about ROADMAP
Main purpose:
Whatever the Trends,
insure the Goal of SIM is achieved
● developments Bottom-Up combined
Feasibly & Robustly for Solutions to
Top-Down problems
● Encourage solution that Meet
Requirements
● Identify and Fill Gaps
● Involve Experts, find Common
Interests, create New Collaborations,
find People & Resources for projects
5. THE STRATEGY OF OUR UNIQUE NETWORK
Cultivate network (1994-)
VECTORS & TRENDS
Nudges to GOALS
e.g. UCBerkeley-MIT/Harvard WBE,
brain emulation neuroscience goal (June 2013)
6. 2013 Key Focus on FUNCTION:
Wireless Micro Neural Interfaces
➔
Safe & Effective: biocompatible (selfcontained), no surgery, too small to
break tissue
➔
Cellular scale & Many regions:
wireless, 1-100um devices, anywhere
(tens, thousands,...) = high bandwidth
➔
Predictable development: IC-based,
mature industry & talent, integrated
on-chip (one piece), Moore’s Law
7. In the Lab Today
➔
“This project is moving faster than any before,
experimental reality is much like we assumed.”
- Prof. Maharbiz
100um “Neural Dust” (UC Berkeley):
ultrasound
Animal trials June 2014!
➔
next: adding 1-5um sensor “tail”
➔
1000um wireless data hub (collect,
compress, transmit)
➔
Infrared “RFID” microprobe
(MIT/Harvard), testing sensing &
power
8. Revolutionary Brain Machine
Interfaces, A New Network
A NeuraLink PLATFORM
➔
backbone of the next network
revolution (“routers of Internet”)
➔
become the standard at that point in
neurotechnology stack
➔
first-mover benefit inside demand &
development feedback cycle
➔
at <10um micro neuro interfaces meet
requirement for Whole Brain
Emulation
Same tech. req. as WBE!
Need Platform for wide use &
rapid iteration
ProBAM consortium goals: 1ms sample
rate record/stimulate at every neuron
(Marblestone et al. white papers, 2013)
9. Micro neural interfaces development program
Platform is component in existing tool stack
➔
above: data stream handling, analysis
software, results target (DBS, sensory
prosthetic, diagnostic monitor,
communication for locked-in/ALS,
prosthetic limb control, BCI, smart drugs)
➔
same level: micro wireless, (opto-)
electrical arrays (e.g. BrainGate), deep
electrodes (e.g. DBS), ECog/uECog
➔
lower stack: signal choice/detection
First-stage program (first year)
➔ v1.0 based on existing 100um
prototype, built with lab infrastructure
➔ platform for research market partners become 1st users/customers
➔ encourage use in similar labs
10. Micro neural interfaces development program
Second-stage program (third year)
➔ shrink to 10-20um
➔ combine with infrared high-bandwidth hub
➔ active delivery system
➔ redesigned for IC industry standard high
volume production
New markets
➔ demo applications explore horizontal
& vertical tool-stack expansion of
efforts
➔ translational approach to clinical
market:
◆ product-companies (e.g. DBS,
cochlear implants) replace
component of tool-stack with
micro neural interfaces
◆ they do the heavy lifting with
existing motivation, experience
& resources in FDA markets
11. Significance from Brain PROCESS
Perspective
❏ Long-term operational interfaces
❏ To a very large number of neurons
❏ Without harm to the brain
MRI, EEG, etc.
impractical
low resolution
cannot distinguish
events
unable to see single
cell activity
BCI electrodes access few neurons
Electrodes break down, inflammation &
infection
12. Significance from APPLICATION
Perspective High Bandwidth
within the Brain-Loop
Low-res BCI (locked-in
patients)
behavioral training,
neurofeedback
But is EEG > eye-tracking
for narrow BCI?
BCI in-loop:
out: use data otherwise hard to get
in: deliver data otherwise impossible to
generate
e.g. parameter fitting, super object-recognition,
super memory-retrieval, selective super
memory acquisition, trajectory prediction,
special senses (UV, stock market)
Needs large-scale high resolution
interfacing
Low-res BCI: Brain does
heavy lifting
High-res BCI: Device needs to
understand brain circuit
signals (e.g. Berger)
13. Products & Application Areas
Small & High Bandwidth
➔ wireless record/stimulate at cell,
ensemble, region level
Patients first
➔ Diagnostic
➔ Treatment
Trans-human enhancement
➔ emotion communication
➔ “telepathic” communication
➔ retina record/playback
➔ auditory record/playback
➔ library record/sort/stimulate of
episodic memory cues (hippocampus)
➔ knowledge portal (Internet, Wikipedia,
etc)
➔ BCI for full-experience
➔ data access & transition for whole
brain emulation
(Most apps unimaginable, like Google etc
was unimaginable to 1980s Internet.)
Non-Harmful -- Not just for Patients!
➔
The interfaces increase capabilities without
doing harm
A New Network shift in the world!
14. Repair with brain prostheses - Strategically
Part-Wise to Whole Brain Emulation
➔
First cognitive neural prosthesis: biomimetic
hippocampal chip (Ted Berger)
➔
Created via system identification (functions for “spike”
input - output)
➔
Implemented in other substrate: biomimetic chip
Success in rats!
New results in primates!
Part-Wise to WBE is a likely route!
15. Time-Line from APPLICATION Perspective
(2-3 years) hippocampus prosthesis in Human trials
- experimental treatment of stroke & neurological
damage
(10-14 years) augmented sensation via prosthetic
(10-20 years) mental co-processors (database-like
memory, faster recognition/reflexes, etc)
(5-8 years) prosthesis enables “library of memory”
collect/identify/tag
(5-10 years) brain circuit analyses enable machine
learning products (AI, compare “deep learning”)
(8-12 years) motor control
prostheses - treatments for
paralysis
(10-14 years) sensory
prostheses - treatments for
blindness, deafness, etc
(compare cochlear implants)
(10-25 years) prosthetic treatments for deficits in
many brain regions
(25+ years) all parts of Whole Brain Emulation with
mind transfer protocol (robust & failsafe mind,
substrate-independent, long lasting)
16. Science Development Perspective
Step 1: Berger - The prosthetic
works better than the original!
➔
Hippocampus prosthetic trials in humans
➔
In primates, extension of Berger-protocol to
prefrontal cortex
Repairs &
Improves performance!
17. Step 2: Small whole brains
& special areas of brain
➔
➔
C.Elegans (Nemaload, Openworm) &
Drosophila (Janelia Farms) proofs-of-concept:
structure + function in hundreds & thousands of
neurons
Retina & Cerebellum prostheses based on
general connectomes & “sparse” activity
recording (Hayworth, Lichtman, Mikula,
Bamford): circuit analysis and principles
(earlier: Briggman et al, Bock et al)
18. Step 3: New Interfaces make
prosthesis of any part possible
➔
ProBAM results: new interface platform extends prosthetic development to
systems with personal memories
➔
Enables Extension Tech: memory
capture, off-line memory sorting, sight &
sound capture / stimulation
19. Step 4: Many parts up to
Whole Brain Emulation
➔
➔
➔
Generalized process:
◆ structure gives interacting subcircuits
◆ function gives sub-circuit system
identification
◆ math. representation +
implementation gives emulated
function & brain prosthetic
Piece-wise neuroprosthetic replacement
(circuit by circuit / cell by cell)
Substrate-Independent Mind
20. 2014
Probability of Success for Complex Long-Term
Objective - Monitor & Nurture explicitly
➔ grass-roots among scientists
➔ awareness of concrete roadmap WBE to public
➔ bring together experts around common interest in
WBE (they didn’t even know they shared)
➔ repurpose a chip foundry to shrink neural
interfaces on fab
Government, Google, Facebook: Machine
learning, Robotics
Machine-centric -- not self-directed evolution
Futures: human/machine vs human&machine
SIM network: apply study of life, brain & mind to
improve human condition
★
★
PETMAN (Google)
★
GOALS, not same as following TRENDS
➔ where are we in 20, 40, 60 years?
➔ carboncopies.org & partners: Ensure
Goals of SIM
★
★
10 years ago: WBE in
academia,
unmentionable (now
accepted goal)
6 years ago:
Connectomics starts
(now proof-of-principle
+ ramping up)
3 years ago: Activity
recording Gap! (now
ProBAM & BRAIN)
proto.neural prosthesis
proto.high-res interface
2014 milestones:
➔ WBE Coffee Table
Book
➔ Roadmap Iteration &
Visualization + add
people
➔ High-res Interface
PLATFORM
(NeuraLink)
➔ No single point of
failure - Robust
financial support
YOU CAN HELP!