Author

Samuel Laferrière

Mila - Quebec Artificial Intelligence InstituteORCID 0000-0003-2534-5454Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Assay:electronic health records· 1 Organism:non-human primate· 1 Approach:optimal transport· 1 Research Focus:trajectory inference· 1

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Guillaume LajoieiD· 1 shared Marco BonizzatoiD· 1 shared Numa DancauseiD· 1 shared

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2019-2019 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Guillaume LajoieORCID

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1 paper

Recent·Most cited

NeuroscienceConference on Cognitive Computational Neuroscience (CCN)Peer-reviewedJan 1, 2019

Learning to evoke complex motor outputs with spatiotemporal neurostimulation using a hierarchical and adaptive optimization algorithm.

Samuel Laferrière, Marco Bonizzato, Numa Dancause, Guillaume Lajoie

This paper introduces a hierarchical and adaptive optimization algorithm to efficiently map spatiotemporal neurostimulation patterns to motor outputs in non-human primates, revealing nonlinear computations in M1.

DOI 10.32470/ccn.2019.1124-0

non-human primateelectronic health records

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