Lecture

Attractor Networks: Hopfield Model Generalizations

Description

This lecture covers attractor networks and generalizations of the Hopfield model in computational neuroscience. Topics include stochastic Hopfield model, energy landscape, low-activity patterns, spiking neurons, memory retrieval, and dynamics convergence to fixed points.

In MOOCs (2)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_jdp9pyrb

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Ontological neighbourhood

Psychology

Basic psychology: Cognitive psychology

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