I've been doing lots of linear analysis on some neural activity series I obtained and am looking to go a level deeper to look at the inherent nonlinearities in my data.
To begin my approach, I'd like to do some reading about computational functions that have been identified for different neuronal connection topologies, as well as different activity models. For example: I've heard about the Reichardt-Hassenstein detector model and others in the field of visual motion detection. I'm looking for more on computational functions of neuronal networks.
Vladimir A. Kulchitsky
Dear Akiva! I have only this paper. Maybe this article will help to generate new ideas.
Vladimir
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