Postdoctoral Fellow
Department of Neuroscience
Icahn School of Medicine at Mount Sinai

Google Scholar

I am a neuroscientist and engineer
studying the neural control of behavior
and developing neuroprosthetics.

Research Highlights
 

Long-term stability of cortical population dynamics underlying consistent behavior
Nature Neuroscience (2020)

We showed that latent dynamics in the neural manifold across three cortical areas are stable throughout years of consistent behavior, and posit that these dynamics are fundamental building blocks of learned behavior.

A neural population mechanism for rapid learning
Neuron (2018)

I proposed a neural mechanism to rapidly develop new motor output by leveraging the intrinsically higher dimensionality of cortical regions compared to the behavioral output.

Neural manifolds for the control of movement
Neuron (2017)

We formalized the "neural manifold" framework as an approach to better understand how populations of neurons in the brain generate behavior.

About Me
 

Education

2017    PhD    Northwestern University     Biomedical Engineering
2015    MSc    Northwestern University     Biomedical Engineering
2010    BSc    University of Pittsburgh      Bioengineering

Experience

2020 - present | Postdoctoral Fellow | Icahn School of Medicine at Mount Sinai, New York
Advised by Kanaka Rajan (in collaboration with Karl Deisseroth)
Constructing large-scale, data-driven recurrent neural network (RNN) models of whole-brain larval zebrafish recordings to model interactions between multiple brain regions.

2017 - 2020 | Postdoctoral Fellow | University of Geneva, Switzerland
Co-advised by Gregoire Courtine, Marco Capogrosso, and Tomislav Milekovic
Studied sensorimotor integration during reach and grasp using multi-area recordings of sensorimotor cortex, the evolution of neural dynamics throughout functional recovery from cervical spinal cord injury, and developed brain-spine interfaces to restore reaching and grasping after cervical spinal cord injury and alleviate gait deficits in a primate model of Parkinson’s disease.

2011 - 2017 | Doctoral Student | Northwestern University, Chicago
Advised by Lee Miller
Applied the “neural manifold” framework to understand neural population dynamics in behavior and developed population-level analyses to characterize interactions between cortical areas.

2010 - 2011 | Whitaker International Scholar | Blue Brain Project, EPFL, Switzerland
Advised by Henry Markram
Studied models of synaptic plasticity within a large-scale cortical simulation and spiking neural networks.

2008 - 2010 | Undergraduate Research Fellow | University of Pittsburgh, Pittsburgh
Advised by Doug Weber
Developed reservoir computing models to improve limb state decoding from cat Ia afferent recordings

Selected
Publications

Perich MG*, Gallego JA*, Chowdhury RH, Solla SA#, Miller LE# (2020) Long-term stability of cortical population dynamics underlying consistent behavior. Nature Neuroscience, 23, 260–270. ( *,#: equal contribution; order reversed )

Perich MG, Gallego JA, Miller LE (2018) A neural population mechanism for rapid learning. Neuron, 100 (4), 771-773

Perich MG, & Miller LE (2017) Altered tuning does not account for behavioral adaptation during force field learning. Experimental Brain Research. 235 (9), 2689-2704

Gallego JA, Perich MG, Miller LE, Solla SA (2017) Neural manifolds for the control of movement. Neuron, 94 (5), 978-984

Gallego JA, Perich MG, Naufel SN, Ethier CE, Solla SA, Miller LE (2018) Cortical population activity within a preserved neural manifold underlies multiple motor behaviors. Nature Communications, 9, 4233

Glaser JI, Perich MG, Ramkumar P, Miller LE, Körding KP (2018) Population coding of conditional probability distributions in dorsal premotor cortex. Nature Communications, 9, 1788

Lawlor PN, Perich MG, Miller LE, Körding KP (2018) Linear-nonlinear-time-warp-Poisson models of neural activity. Journal of Computational Neuroscience, 45 (3), 173-191

Dyer EL, Azar MG, Perich MG, Fernandes HL, Naufel SN, Miller LE, Körding KP (2017) A cryptography-based approach for movement decoding. Nature Biomedical Engineering, 1 (12), 967

Media and Press
 

Talks

Cosyne 2020 Main Meeting, Denver, CO
Multi-region network models of brain-wide interactions during adaptive and maladaptive state transition

Press and Commentaries

Adapting Fine with a Little Help from the Null Space, Neuron, 21 November, 2018

Cracking the Brain's Enigma Code, Scientific American, 27 December, 2017