Lecture

Stochastic Hopfield model

Description

This lecture covers the Stochastic Hopfield model, focusing on noisy neurons and their impact on attractor dynamics. It delves into prototype interactions, firing probabilities, memory retrieval, and the overlap equations in attractor networks. The instructor discusses the implications of stochastic dynamics for memory retrieval and the importance of checking overlap with other patterns.

In MOOCs (2)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_nsqlznaq

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Psychology

Basic psychology: Cognitive psychology

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