Samuel Neymotin, PhD

Research Associate Professor, Department of Psychiatry

Keywords
Computational neuroscience, Computer simulation, Multiscale modeling, Machine learning, Signal processing
Summary

My primary research in computational neuroscience is aimed at developing computer models of neurons and neuronal networks including laminar models of neocortex, thalamus, and hippocampus, constrained with anatomical and electrophysiology data. I then use the models to predict the microcircuit mechanisms contributing to neural dynamics and function. Collaboration with electrophysiologists has led to development of novel analysis methods and modeling tools used to decipher the origin of the dynamic electrophysiological patterns. Our research strategy offers translational benefits for neuropsychiatric disorders where changes in dynamic activity patterns appear to be key biomarkers.

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Positions

Research Associate Professor, Department of Psychiatry at NYU Grossman School of Medicine

Graduate Education

PhD from SUNY-Downstate

Postdoctoral Training

Yale University School of Medicine, Neurobiology

Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics

Dura-Bernal, Salvador; Griffith, Erica Y; Barczak, Annamaria; O'Connell, Monica N; McGinnis, Tammy; Moreira, Joao V S; Schroeder, Charles E; Lytton, William W; Lakatos, Peter; Neymotin, Samuel A

Cell reports. 2023 Nov 28; 42(11):113378

Multiscale model of primary motor cortex circuits predicts in vivo cell-type-specific, behavioral state-dependent dynamics

Dura-Bernal, Salvador; Neymotin, Samuel A; Suter, Benjamin A; Dacre, Joshua; Moreira, Joao V S; Urdapilleta, Eugenio; Schiemann, Julia; Duguid, Ian; Shepherd, Gordon M G; Lytton, William W

Cell reports. 2023 Jun 27; 42(6):112574

Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning

HaÅŸegan, Daniel; Deible, Matt; Earl, Christopher; D'Onofrio, David; Hazan, Hananel; Anwar, Haroon; Neymotin, Samuel A

Frontiers in computational neuroscience. 2022 Dec; 16:1017284

Detecting spontaneous neural oscillation events in primate auditory cortex

Neymotin, Samuel A; Tal, Idan; Barczak, Annamaria; O'Connell, Monica N; McGinnis, Tammy; Markowitz, Noah; Espinal, Elizabeth; Griffith, Erica; Anwar, Haroon; Dura-Bernal, Salvador; Schroeder, Charles E; Lytton, William W; Jones, Stephanie R; Bickel, Stephan; Lakatos, Peter

eNeuro. 2022 Jul; 9(4):

Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning

Anwar, Haroon; Caby, Simon; Dura-Bernal, Salvador; D'Onofrio, David; Hasegan, Daniel; Deible, Matt; Grunblatt, Sara; Chadderdon, George L; Kerr, Cliff C; Lakatos, Peter; Lytton, William W; Hazan, Hananel; Neymotin, Samuel A

PLoS one. 2022 May; 17(5):e0265808

Laminar dynamics of high amplitude beta bursts in human motor cortex

Bonaiuto, James J; Little, Simon; Neymotin, Samuel A; Jones, Stephanie R; Barnes, Gareth R; Bestmann, Sven

Neuroimage. 2021 Nov 15; 242:118479

Effects of Ih and TASK-like shunting current on dendritic impedance in layer 5 pyramidal-tract neurons

Kelley, Craig; Dura-Bernal, Salvador; Neymotin, Samuel A; Antic, Srdjan D; Carnevale, Nicholas T; Migliore, Michele; Lytton, William W

Journal of neurophysiology. 2021 Apr 01; 125(4):1501-1516

In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia

Sherif, Mohamed A; Neymotin, Samuel A; Lytton, William W

NPJ schizophrenia. 2020 Sep 21; 6(1):25

See All Publications (52)