Author

Timothy Moore

University of Washington

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Neuroscience· 1

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Approach:machine learning (classical)· 1 Approach:statistical model· 1

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Eric Shea‐BrowniD· 1 shared Guillaume LajoieiD· 1 shared Matthew FarrelliD· 1 shared Stefano RecanatesiiD· 1 shared

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2022-2022 · peak 1/yr

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Eric Shea‐BrownORCID

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1 paper

Recent·Most cited

NeuroscienceNature Machine IntelligencePeer-reviewedJun 22, 2022

Recurrent neural networks learn robust representations by dynamically balancing compression and expansion

Matthew Farrell, Stefano Recanatesi, Timothy Moore…·Eric Shea‐Brown

This study shows how recurrent neural networks balance compression and expansion of activity dimensionality during learning to solve discrimination tasks effectively.

56 citations

statistical modelmachine learning (classical)

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