Author

Michael J. Seay

University of California, Los AngelesORCID 0000-0002-7526-8226Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:simulation· 1

Frequent Co-Authors

Dean V. BuonomanoiD· 2 shared Jiannis TaxidisiD· 1 shared Peyman GolshaniiD· 1 shared Rodrigo LajeiD· 1 shared Saray Soldado-MagraneriD· 1 shared Shanglin ZhouiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

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6 top collaborators · 9 mutual co-author links

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2 shared papersNeuroscience

Dean V. BuonomanoORCID

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2 papers

Recent·Most cited

NeuroscienceProceedings of the National Academy of SciencesPeer-reviewedOct 17, 2022

Orchestrated Excitatory and Inhibitory Learning Rules Lead to the Unsupervised Emergence of Self-sustained and Inhibition-stabilized Dynamics

Saray Soldado-Magraner, Michael J. Seay, Rodrigo Laje, Dean V. Buonomano

The paper demonstrates that orchestrated learning rules generate self-sustained and inhibition-stabilized neural dynamics in developing cortical circuits.

19 citations

statistical modelsimulation

NeurosciencebioRxivPreprintJul 8, 2022

Multiplexing working memory and time: encoding retrospective and prospective information in neural trajectories

Shanglin Zhou, Michael J. Seay, Jiannis Taxidis…·Dean V. Buonomano

This study investigates whether working memory and timing share neural mechanisms by using psychophysical tasks and RNN simulations, finding that cue-specific neural sequences multiplex both functions.

DOI 10.1101/2022.07.08.499383

statistical model