My research spans the interdisciplinary fields of mathematical biology, cell biophysics and computational neuroscience. My main focus is mathematical and computational modeling of cell calcium diffusion and buffering, in particular understanding calcium dynamics underlying synaptic neurotransmitter release and endocrine hormone secretion. This includes the study of calcium-dependent activity-induced changes in synaptic strength called short-term synaptic plasticity, as well as the impact of such short-term synaptic dynamics on the activity and information-processing properties of neuronal networks. Since most of the calcium ions entering a cell are bound by intracellular calcium-binding molecules termed calcium buffers, I am especially interested in the role that calcium buffers play in regulating cell calcium signals in general, and synaptic transmission in particular. To study quantitatively the dynamics of calcium diffusion and buffering in the synaptic or endocrine terminal, I developed a modeling program called CalC ("Calcium Calculator") used by several research groups throughout the world. Finally, I am interested in the impact of synaptic properties on the behavior of synaptically coupled neuronal circuits, focusing on the case of strong synaptic coupling.

- PhD, Physics, SUNY Stony Brook
- BS, Physics, Moscow State University, Russia

- Fall 2008: Math 331-001
**Introduction to PDEs** - Fall 2008: Math 211-013
**Calculus IIIA**

- Spring 2007: Math 630-102
**Linear Algebra and Applications** - Fall 2004: Math 372-001
**Mathematical Models in Population Biology** - Spring 2008: Math 335-002
**Vector Analysis** - Spring 2007: Math 335-002
**Vector Analysis** - Spring 2006: Math 335-002
**Vector Analysis** - Fall 2005: Math 335-001
**Vector Analysis** - Fall 2007: Math 331-001
**Introduction to PDEs** - Spring 2005: Math 240-002
**Numerical Methods Laboratory** - Spring 2006: Math 114-102
**Finite Mathematics and Calculus II** - Spring 2008: Math 211-013
**Calculus IIIA** - Fall 2007: Math 211-013
**Calculus IIIA** - Spring 2004: Math 112-005
**Calculus II** - Fall 2006: Math 111-009
**Calculus I** - Fall 2003: Math 111-005
**Calculus I**

- Applied mathematics: dynamical systems, stochastic and deterministic reaction-diffusion systems
- Computational neuroscience: short-term synaptic plasticity, dynamics of strongly coupled excitable cells, mechanisms of neural excitability
- Biophysics: intracellular calcium dynamics, mechanisms of secretory vesicle release in neural and endocrine cells
- Scientific computing: efficient numerical methods for reaction-diffusion equations, in particular for modeling of cell calcium dynamics
- Statistical mechanics: thermodynamics of finite-state systems on periodic lattices and order-disorder phase transitions

My current research projects include the following:

- Coupling between individual calcium channels and the release of neurotransmitter or hormone-containing secretory vesicles
- Dynamics of calcium diffusion and buffering in the presence of complex buffers with multiple binding sites, including buffers with cooperative calcium binding such as calmodulin and calretinin.
- New analytic approximations for steady-state single-channel calcium nanodomains in the presence of complex buffers, including buffers with cooperative calcium binding.
- Estimating the impact of stochastic effects on secretory vesicle release downstream of calcium ion channel gating.
- Continued development and improvement of the "Calcium Calculator" (CalC) simulation software for modeling cell calcium influx, diffusion and buffering (http://www.calciumcalculator.org)

Victor Matveev. PadÃ© Approximation of a Stationary

Single-Channel Ca2+ Nanodomain. Biophys. J.,111(9):2062-

2074, 2016.

http://www.cell.com/biophysj/abstract/S0006-3495(16)30819-0

Igor Delvendahl, Lukasz Jablonski, Carolin Baade,

Victor Matveev, Erwin Neher, Stephan Hallermann.

Reduced endogenous Ca2+ buffering speeds

active zone Ca2+ signaling. P.N.A.S. U.S.A.,

112(23):E3075-84, 2015.

http://www.pnas.org/content/112/23/E3075.long

Victor Matveev. Biophysical Models of Calcium-Dependent

Exocytosis. In: Jaeger D., Jung R. (Ed.) Encyclopedia

of Computational Neuroscience: Springer Reference,

Springer-Verlag, New York, 2014.

http://web.njit.edu/~matveev/documents/2014-Matveev-Biophysical-Models-E...

Victor Matveev, Richard Bertram, Arthur Sherman, Calcium

Cooperativity of Exocytosis as a Measure of Calcium

Channel Domain Overlap. Brain Research 1398:

126-138, 2011.

http://www.sciencedirect.com/science/article/pii/S0006899311008717

Myongkeun Oh and Victor Matveev. Non-weak inhibition and

phase resetting at negative values of phase in cells with

fast-slow dynamics at hyperpolarized potentials. J. Comput.

Neurosci. 31(1):31-42, 2011.

http://link.springer.com/article/10.1007%2Fs10827-010-0292-x

Alexander M. Weber, Fiona K. Wong, Adele R. Tufford, Lyanne

C. Schlichter, Victor Matveev, and Elise F. Stanley. N-type

Ca2+ channels carry the largest current: implications for

nanodomains and transmitter release. Nature Neurosci.

13:1348-1350, 2010.

http://www.nature.com/neuro/journal/v13/n11/full/nn.2657.html

Myongkeun Oh and Victor Matveev. Loss of phase-locking in

non-weakly coupled inhibitory networks of type-I model

neurons. J. Comput. Neurosci., 26(2):303-320, 2009.

http://link.springer.com/article/10.1007%2Fs10827-008-0112-8