Search Results for author: Michael Buice

Found 4 papers, 2 papers with code

Data-Driven Discovery of Functional Cell Types that Improve Models of Neural Activity

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.

Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex

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.

Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex

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?

Benchmarking Object Recognition +1

Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity

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.

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