Jonathan E. Rubin, PhD

  • Professor and Chair, Department of Mathematics

Phone

(412) 624-8361

E-mail

jonrubin@pitt.edu

Personal Website

http://www.math.pitt.edu/~rubin/

Education & Training

PhD, Brown University (Division of Applied Mathematics) (1996)

Location

302 Thackeray Hall

Research Interest Summary

Theoretical and computational modeling of dynamics in neuronal networks.

Dr. Rubin's research focuses on computational modeling of networks of coupled neurons. He is particularly interested in how intrinsic cellular properties combine with synaptic properties, such as plasticity and architecture of connections, to generate neuronal activity patterns. Dr. Rubin is currently using simulations and theoretical analysis to elucidate how the modulation of such patterns contributes to movement disorders, such as Parkinson's disease, and to pacemaking, as occurs in respiratory rhythms. He also considers more abstract questions of how various network components interact to produce complicated dyamic patterns such as bursts and mixed-mode oscillations, often involving multiple timescales. 

Prasad, K., Rubin, J., Mitra, A., Lewis, M., Theis, N., Muldoon, B., ... & Cape, J. (2022). Structural covariance networks in schizophrenia: A systematic review Part I. Schizophrenia research, 240, 1-21.

Rubin, J. E., Vich, C., Clapp, M., Noneman, K., & Verstynen, T. (2021). The credit assignment problem in cortico‐basal ganglia‐thalamic networks: A review, a problem and a possible solution. European Journal of Neuroscience, 53(7), 2234-2253.

Phillips, R. S., Rosner, I., Gittis, A. H., & Rubin, J. E. (2020). The effects of chloride dynamics on substantia nigra pars reticulata responses to pallidal and striatal inputs. Elife, 9, e55592.

Wang, Y., & Rubin, J. E. (2020). Complex bursting dynamics in an embryonic respiratory neuron model. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(4), 043127.

Dunovan, K., Vich, C., Clapp, M., Verstynen, T., & Rubin, J. (2019). Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making. PLoS Computational Biology, 15(5), e1006998.

B. Letson and J.E. Rubin, "A new frame for an old (phase) portrait: finding rivers and other flow features in the plane", SIAM. J. Appl. Dyn. Syst., 17(4), 2414-2445, 2018.

J. Ausborn, A.C. Snyder, N.A. Shevtsova, I.A. Rybak, and J.E. Rubin, "State-dependent rhythmogenesis and frequency control in a half-center locomotor CPG", J. Neurophysiol., 119:96-117, 2018.

J.E. Rubin, "Computational models of basal ganglia dysfunction: the dynamics is in the details", Curr. Opin. Neurobiology, 46:127-135, 2017.