Author

Javier Sagastuy-Breña

Stanford UniversityORCID 0000-0003-3057-194XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

Aran NayebiiD· 1 shared Daniel L. K. YaminsiD· 1 shared Daniel M. Bear· 1 shared David SussilloiD· 1 shared James J. DiCarloiD· 1 shared Jonas KubiliusiD· 1 shared Kohitij KariD· 1 shared Surya GanguliiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperNeuroscience

Aran NayebiORCID

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1 paper

Recent·Most cited

NeuroscienceNeural ComputationPeer-reviewedJul 7, 2022

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Tradeoff Between Task Performance and Network Size During Core Object Recognition

Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear…·Daniel L. K. Yamins

This study develops ConvRNN models to simulate primate ventral visual stream processing, finding that recurrent networks achieve better task performance and efficiency than deeper feedforward networks.

60 citationstop 2%

non-human primatedeep learning

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