1 code implementation • NeurIPS 2021 • Colin Conwell, David Mayo, Andrei Barbu, Michael Buice, George Alvarez, Boris Katz
Using our benchmark as an atlas, we offer preliminary answers to overarching questions about levels of analysis (e. g. do models that better predict the representations of individual neurons also predict representational similarity across neural populations?
1 code implementation • NeurIPS 2021 • Gabriel Ocker, Michael Buice
The particular input correlation decomposed and the form of the decomposition depend on the location of nonlinearities in the plasticity rule.
no code implementations • NeurIPS 2019 • Jianghong Shi, Eric Shea-Brown, Michael Buice
Several groups have developed metrics that provide a quantitative comparison between representations computed by networks and representations measured in cortex.
no code implementations • NeurIPS Workshop Neuro_AI 2019 • Daniel Zdeblick, Eric Shea-Brown, Daniela Witten, Michael Buice
Computational neuroscience aims to fit reliable models of in vivo neural activity and interpret them as abstract computations.