#7: On topological data analysis and Hopfield-like network models – with Carina Curto

Over the last decade topological analysis has been established as a new tool for analysis of spiking data.

Today’s guest has been a pioneer in adapting this mathematical technique for use in our field and explains concepts and example applications. 

We also also talk about so-called threshold-linear network model, a generalization of Hopfield networks exhibiting a much richer dynamics, where Carina has done some exciting mathematical explorations.

Links to papers/books mentioned in the podcast:

The podcast was recorded on January 2nd, 2024 and lasts 2 hours and 14 minutes.

To see the video version and get the transcript of the episode, become a Patreon supporter at patreon.com/TheoreticalNeurosciencePodcast .

In addition to the access via the link above, the audio version of the podcast is also available through major podcast providers such as Apple, Spotify, and Amazon Music/Audible.

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