Semanlink - Brain

> an overview of the material covered in a course taught at Stanford in the spring quarter of 2018. The course draws upon **insight from cognitive and systems neuroscience to implement hybrid connectionist and symbolic reasoning systems** that leverage and extend the state of the art in machine learning **by integrating human and machine intelligence**. As a concrete example we focus on digital assistants that learn from continuous dialog with an expert software engineer while providing initial value as powerful analytical, computational and mathematical savants.

> [#Dehaene](/tag/stanislas_dehaene)'s work extends the [#Global Workspace Theory](/tag/global_workspace_theory) of Bernard Baars. Dehaene’s version of the theory combined with Yoshua Bengio’s concept of a [#consciousness prior](/tag/consciousness_prior.html) and deep reinforcement learning suggest a model for constructing and maintaining the cognitive states that arise and persist during complex problem solving.

2019-11-12 About

Towards a Conscious AI: A Computer Architecture inspired by Neuroscience - Microsoft Research

Tags:

2019-11-12 About

Information theory and neural coding (1999) (Alexander Borst and Frédéric E. Theunissen)

Tags:

2019-10-11 About

Brain-computer interface: huge potential benefits and formidable challenges

Tags:

Brain-computer interface

2019-09-12 About

Sebastian Ruder sur Twitter : "1/ Our paper Episodic Memory in Lifelong Language Learning..."

Tags:

2019-09-08 About

[1908.01580] The HSIC Bottleneck: Deep Learning without Back-Propagation

Tags:

2019-08-15 About

[1907.03950] Learning by Abstraction: The Neural State Machine

Tags:

2019-07-10 About

One Day There May Be a Drug to Turbocharge the Brain. Who Should Get It? - The New York Times

Tags:

2019-04-17 About

The intertwined quest for understanding biological intelligence and creating artificial intelligence

Tags:

2018-12-29 About

Emergence of Binocular Disparity Selectivity through Hebbian Learning | Journal of Neuroscience

Tags:

2018-12-06 About

Des modèles informatiques pour expliquer le développement de la vision (Biologie au CNRS)

Tags:

2018-12-06 About

Julie Grollier - personal website: Nanodevices - Bio-inspired computing - Spin Transfer Torque - Memristors

Tags:

2018-10-27 About

Julie Grollier - Spin Transfer Torque

Tags:

2018-10-27 About

Towards bridging the gap between deep learning and brains

Tags:

2018-10-23 About

Overcoming device unreliability with continuous learning in a population coding based computing system (2018 - Journal of Applied Physics)

Tags:

2018-10-21 About

This 3D Human 'Mini-Brain' Is Made of Stem Cells and Can Live For Months - Motherboard

Tags:

2018-10-20 About

From Deep Learning of Disentangled Representations to Higher-level Cognition - YouTube

Tags:

2018-09-28 About

CNRS INSIS - Un pas vers les puces miniatures intelligentes

Tags:

2018-04-29 About

Engineers design artificial synapse for “brain-on-a-chip” hardware | Robohub

Tags:

Bio inspired computing devices

2018-01-23 About

Stanford Seminar - "Can the brain do back-propagation?" - Geoffrey Hinton

Tags:

2018-01-22 About

Brain Implants and the BRAIN Initiative: lights and Shadows - OpenMind

Tags:

2018-01-03 About

How is information coded in neural activity? (Quora)

Tags:

Neural coding

2017-12-04 About

Solving the Neural Code Conundrum: Digital or Analog? - MIT Technology Review

Tags:

2017-12-04 About

[1709.08568] The Consciousness Prior

Tags:

2017-09-29 About

Brains in Silicon

Tags:

2017-09-07 About

Facial Recognition: Cracking the Brain’s Code | CNRS News

Tags:

2017-09-07 About

Bacteria Use Brainlike Bursts of Electricity to Communicate | Quanta Magazine

Tags:

2017-09-06 About

The hard problem of consciousness is a distraction from the real one | Aeon Essays

Tags:

2017-08-25 About

Computational Neuroscience: Why does the brain adopt mechanisms like sparse coding to represent the environment? - Quora

Tags:

2017-06-19 About

The Code for Facial Identity in the Primate Brain

Tags:

Computational Neuroscience

2017-06-05 About

Neuroscientists rethink how the brain recognizes faces : Nature News & Comment

Tags:

2017-06-05 About

CNRS - Quand les souvenirs refont surface grâce à la stimulation électrique cérébrale…

Tags:

2017-05-28 About

Premier neurone artificiel monocomposant - CNRS

Tags:

Artificial neurons

2017-05-05 About

Un pas de plus vers la greffe de tête | Passeur de sciences

Tags:

Greffe de tête

2017-05-04 About

[1611.04228] Learning Sparse, Distributed Representations using the Hebbian Principle

Tags:

2017-04-28 About

How Mimicking Brain Function is Revolutionising NLP - Dataconomy

Tags:

2017-04-28 About

CNRS INSIS - Un neurone artificiel mille fois plus économe en énergie qu’un neurone biologique

Tags:

2017-04-22 About

Entire nervous system of an animal recorded for the first time | New Scientist

Tags:

Neuroscience

2017-04-12 About

A brief history of the brain | New Scientist

Tags:

2017-04-12 About

Electronic synapses that can learn : towards an artificial brain ? - CNRS Web site

Tags:

2017-04-03 About

First Demonstration of Brain Inspired Device to Power Artificial Systems – Neuroscience News

Tags:

2016-10-08 About

The Clever Machine | Topics in Computational Neuroscience & Machine Learning

Tags:

2016-09-17 About

23 problems in systems neuroscience

Tags:

2016-09-04 About

Software faults raise questions about the validity of brain studies | Ars Technica

Tags:

Neuroscience

2016-07-03 About

“Can computers become conscious?”: My reply to Roger Penrose

Tags:

2016-06-03 About

Single Artificial Neuron Taught to Recognize Hundreds of Patterns

Tags:

2016-04-25 About

Matthieu Ricard

Tags:

2016-04-24 About

What insects can tell us about the origins of consciousness

Tags:

2016-04-22 About

Do We Have Free Will? The Brain-Computer Duel – Neuroscience News

Tags:

2016-01-04 About

Tasting the Light: Device Lets the Blind "See" with Their Tongues - Scientific American

Tags:

2016-01-04 About

Neural backpropagation - Wikipedia, the free encyclopedia

Tags:

2016-01-03 About

Machines That Learn Like Humans | Neuroscience News

Tags:

Neuroscience

2015-12-26 About

Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex - Single Artificial Neuron Taught to Recognize Hundreds of Patterns | MIT Technology Review

Tags:

2015-11-18 About

Prosthetic hand lets man actually feel what he touches for the first time - News - Gadgets and Tech - The Independent

Tags:

Brain-Machine Interface

2015-09-19 About

This Is Your Brain. This Is Your Brain as a Weapon. | Foreign Policy

Tags:

2015-09-19 About

IBM's 'Rodent Brain' Chip Could Make Our Phones Hyper-Smart | WIRED

Tags:

2015-08-18 About

Brain connections last as long as the memories they store, Stanford neuroscientist finds | Stanford News Release

Tags:

Neuroscience

2015-06-25 About

Did neurons evolve more than once on Earth? - life - 10 April 2015 - New Scientist

Tags:

2015-04-11 About

Ancient Viruses Hacked Human Brains

Tags:

2015-01-14 About

Pregnancy is a war between mother and child – Suzanne Sadedin – Aeon

Tags:

2014-08-28 About

IEEE Xplore Abstract - Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

Tags:

n this paper, we describe the design of Neurogrid, a neuromorphic system for simulating large-scale neural models in real time. Neuromorphic systems realize the function of biological neural systems by emulating their structure. Designers of such systems face three major design choices: 1) whether to emulate the four neural elements—axonal arbor, synapse, dendritic tree, and soma—with dedicated or shared electronic circuits; 2) whether to implement these electronic circuits in an analog or digital manner; and 3) whether to interconnect arrays of these silicon neurons with a mesh or a tree network. The choices we made were: 1) we emulated all neural elements except the soma with shared electronic circuits; this choice maximized the number of synaptic connections; 2) we realized all electronic circuits except those for axonal arbors in an analog manner; this choice maximized energy efficiency; and 3) we interconnected neural arrays in a tree network; this choice maximized throughput. These three choices made it possible to simulate a million neurons with billions of synaptic connections in real time—for the first time—using 16 Neurocores integrated on a board that consumes three watts.

2014-04-30 About

Stanford bioengineers create circuit board modeled on the human brain | Stanford News Release

Tags:

2014-04-30 About

YaleNews | Yale researchers reconstruct facial images locked in a viewer’s mind

Tags: