Applied Math And Analysis Seminar
Thursday, April 28, 2016, 4:30pm, 119 Physics
Douglas Zhou (Shanghai Jiao Tong University, Institute of Natural Sciences & Math Department,)
Spatiotemporal integration of synaptic inputs in neurons: computational modeling, analysis and experiments
Abstract:- A neuron receives thousands of synaptic inputs from other neurons and
integrates them to process information. Many experimental results
demonstrate this integration could be highly nonlinear, yet few
theoretical analyses have been performed to obtain a precise
quantitative characterization. Based on asymptotic analysis of an
idealized cable model, we derive a bilinear spatiotemporal integration
rule for a pair of time-dependent synaptic inputs. Note that the above
rule is obtained from idealized models. However, we have confirmed this
rule both in simulations of a realistic pyramidal neuron model and in
electrophysiological experiments of rat hippocampal CA1 neurons. Our
results demonstrate that the integration of multiple synaptic inputs can
be decomposed into the sum of all possible pairwise integration with
each paired integration obeying a bilinear rule. [video]
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