Semanlink - Computational Neuroscience AND Artificial Intelligence

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Computational Neuroscience AND Artificial Intelligence

Common descendants

Backpropagation vs Biology

20 Documents

Evidence of a predictive coding hierarchy in the human brain listening to speech | Nature Human Behaviour

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2023-04-16 About

Neural representational geometry underlies few-shot concept learning | PNAS

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2022-10-30 About

Modeling AI on the Language of Brain Circuits and Architecture | Wu Tsai Neurosciences Institute

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2021-09-12 About

How can synaptic plasticity lead to meaningful learning?

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2021-05-14 About

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

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2021-04-19 About

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation | Frontiers in Computational Neuroscience

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2021-03-19 About

Artificial Neural Networks Accurately Predict Language Processing in the Brain | bioRxiv

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2020-06-27 About

[2003.03384] AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

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2020-03-17 About

[1807.00082] Amanuensis: The Programmer's Apprentice

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**The use of natural language to facilitate communication
between the expert programmer and apprentice AI system.**

> 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

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

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2019-08-15 About

The intertwined quest for understanding biological intelligence and creating artificial intelligence

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2018-12-29 About

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

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2018-01-22 About

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

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2017-09-07 About

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

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2017-06-19 About

How Mimicking Brain Function is Revolutionising NLP - Dataconomy

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2017-04-28 About

The Clever Machine | Topics in Computational Neuroscience & Machine Learning

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2016-09-17 About

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

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2015-08-18 About

Numenta: Hierarchical Temporal Memory, including HTM cortical learning algorithms

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2014-01-19 About

L'implémentation neuronale des mécanismes Bayésiens - Psychologie cognitive expérimentale - Stanislas Dehaene - Collège de France

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2013-12-22 About

The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI | Wired Enterprise | Wired.com

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2013-05-25 About