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Resonance in neurons and neural networks: theoretical and experimental approaches

Abstract

Neurons can exhibit subthreshold voltage resonance to oscillatory input current. For specific frequencies of input current oscillations, the response membrane voltage displays enhanced amplitude of oscillations. This can have functional implications for neuronal selectivity in cases of resonant neurons embedded in networks that support oscillatory states of different frequencies. The resonance properties of a neuron depend on its intrinsic passive and active characteristics, e.g. morphology and ionic current properties. To unveil the roles of these characteristics on resonance and their impact at network level, several theoretical and experimental studies are being currently undertaken.

The objective of this workshop is to gather theoreticians and experimentalists who work on this subject to present and discuss their recent work. The range of topics will cover from dynamical systems-based mathematical analysis, through
biophysical neuron modeling, and neurophysiological experiments. The workshop contents will involve: role of specific ionic currents, how to determine resonance by means of physiologically measurable parameters, stochastic resonance, relation between subthreshold resonance and spiking characteristics, bifurcation diagrams, and influence of single neuron resonance on network behavior.

Schedule