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Matthew G. Perich

Affiliations: 
2011-2017 Biomedical Engineering Northwestern University, Evanston, IL 
 2017-2020 Department of Fundamental Neuroscience University of Geneva, Geneva, Switzerland 
 2020-2022 Department of Neuroscience Icahn School of Medicine at Mount Sinai, New York, NY, United States 
Area:
Motor Learning, Reaching, Motor Cortex
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"Matthew Perich"
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Parents

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Douglas J. Weber research assistant 2008-2010 University of Pittsburgh
Henry Markram research assistant 2010-2011 EPFL
Lee E. Miller grad student 2011-2017 Northwestern
Kanaka Rajan post-doc 2020- Mount Sinai School of Medicine
Gregoire Courtine post-doc 2017-2020 Swiss Federal Institute of Technology (EPFL)

Children

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Collaborators

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Barbara Feulner collaborator
BETA: Related publications

Publications

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Perich MG, Rajan K. (2020) Rethinking brain-wide interactions through multi-region 'network of networks' models. Current Opinion in Neurobiology. 65: 146-151
Glaser JI, Benjamin AS, Chowdhury RH, et al. (2020) Machine learning for neural decoding. Eneuro
Gallego JA, Perich MG, Chowdhury RH, et al. (2020) Long-term stability of cortical population dynamics underlying consistent behavior. Nature Neuroscience
Barra B, Badi M, Perich MG, et al. (2019) A versatile robotic platform for the design of natural, three-dimensional reaching and grasping tasks in monkeys. Journal of Neural Engineering
Perich MG, Gallego JA, Miller LE. (2018) A Neural Population Mechanism for Rapid Learning. Neuron
Gallego JA, Perich MG, Naufel SN, et al. (2018) Cortical population activity within a preserved neural manifold underlies multiple motor behaviors. Nature Communications. 9: 4233
Lawlor PN, Perich MG, Miller LE, et al. (2018) Linear-nonlinear-time-warp-poisson models of neural activity. Journal of Computational Neuroscience
Glaser JI, Perich MG, Ramkumar P, et al. (2018) Population coding of conditional probability distributions in dorsal premotor cortex. Nature Communications. 9: 1788
Dyer EL, Gheshlaghi Azar M, Perich MG, et al. (2017) A cryptography-based approach for movement decoding. Nature Biomedical Engineering. 1: 967-976
Gallego JA, Perich MG, Miller LE, et al. (2017) Neural Manifolds for the Control of Movement. Neuron. 94: 978-984
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