Matthew G. Perich
Affiliations: | 2011- | Biomedical Engineering | Northwestern University, Evanston, IL |
Area:
Motor Learning, Reaching, Motor CortexGoogle:
"Matthew Perich"Mean distance: 17.1 (cluster 22) | S | N | B | C | P |
Parents
Sign in to add mentor| 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) |
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Publications
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| 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 |
| 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 |
| Perich MG, Miller LE. (2017) Altered tuning in primary motor cortex does not account for behavioral adaptation during force field learning. Experimental Brain Research |
| Kaloti AS, Johnson EC, Bresee CS, et al. (2016) Representation of Stimulus Speed and Direction in Vibrissal-Sensitive Regions of the Trigeminal Nuclei: A Comparison of Single Unit and Population Responses. Plos One. 11: e0158399 |