NJIT Associate Professor Victor Matveev, PhD, in the department of mathematical sciences, was part of a research team that published "N-type Ca2+ channels carry the largest current: Implications for nanodomains and transmitter（发射机） release," in Nature Neuroscience on Oct. 17, 2010. http://www.nature.com/neuro/journal/v13/n11/abs/nn.2657.html Leading the project, Elise Stanley, PhD, a senior scientist at the Toronto Western Research Institute, said that Matveev's mathematical modeling（数学模型） showed that calcium¹ influx²（流入，汇集） through a single N-type calcium channel is sufficient to trigger the fusion³（融合，融化） of a secretory⁴ vesicle（泡，囊） located 25 nm from the channel.

Explained Stanley: "These findings may help to explain why nature evolved this new family of channels, permitting an efficient transmitter release mechanism⁵ with a modular molecular⁶ organization. Our next objective will be to determine how this exquisitely⁷（精致地） organized 'molecular machine' plays a role in synaptic（突触的，联合的） modulation⁸ which is critical for memory and behavior modification⁹." Since transmitter release is involved in virtually every aspect of nervous system function, these results have a broad impact for the understanding of normal brain processing and central and peripheral¹⁰（外围的，次要的） nervous system disorders¹¹.

The results of this work showed that the calcium current through an N-type channel was larger in comparison to calcium channels that are not involved in synaptic transmission, contrary to the currently accepted channel conductance hierarchy¹²（层级） .

Furthermore, the authors' modeling work showed that the current through a single open N-type calcium channel may be sufficient to enable neurotransmitter release. These results demonstrate the degree to which N-type calcium channel properties are adapted for their role in synaptic transmission, and also shed light on the highly localized nature of intra-synaptic calcium signaling.

Matveev's research focuses on computational neuroscience, primarily on biophysical modeling and numerical simulations of synaptic function and its mechanisms¹³. He uses analytical¹⁴ methods and computational techniques, from stochastic modeling（随机模型） to numerical solution of partial and ordinary differential equations.

Matveev collaborates¹⁵ with experimental neurophysiologists, and develops models to explain and fit the experimental data. His current projects include the study of the mechanisms of short-term synaptic facilitation and other calcium-dependent processes involved in neurotransmitter secretion¹⁶（分泌，藏匿） , and the modeling of presynaptic（突触前的） calcium diffusion¹⁷（扩散，传播） and buffering¹⁸.

To facilitate his research, Matveev also has been working on the development of a software application designed for solving the reaction-diffusion equation arising in the study of intracellular（细胞内的） calcium dynamics¹⁹ ("Calcium Calculator").