Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Attractor Networks and Generalizations
Description
This lecture by the instructor covers the topic of attractor networks and generalizations of the Hopfield model in computational neuroscience. The lecture delves into concepts such as low-activity patterns, attractor memory in realistic networks, and the dynamics of attractor memory with low activity patterns. The presentation explores the neuronal dynamics of cognition, discussing the flow to fixed points in attractor models and the capacity calculations for attractor networks.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.