title: Shot noise in the leaky integrate-and-fire neuron.
abstract: We study the influence of noise on the transmission of temporal information by a leaky integrate-and-fire neuron using the theory of shot noise. The model includes a finite number of synapses and has a membrane potential variance de facto modulated by the input signal. The phenomenon of stochastic resonance in spiking neurons is analytically exhibited using an inhomogeneous Poisson process model of the spike trains, and links with the traditional Ornstein-Uhlenbeck process obtained by a diffusion approximation are given. It is shown that the modulated membrane potential variance inherent to the model gives better signal processing capabilities than the diffusion approximation.
authors: Department of Otolaryngology, The University of Melbourne, 384-388 Albert Street, East Melbourne, Victoria 3002, Australia. n.hohn@medoto.unimelb.edu.au
authors: N
authors: N
authors: Hohn
authors: A N
authors: AN
authors: Burkitt
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000222:Adaptation, Physiological / Q000502:physiology; D003198:Computer Simulation; D004056:Differential Threshold / Q000502:physiology*; D008564:Membrane Potentials / Q000502:physiology*; D008959:Models, Neurological; D015233:Models, Statistical; D009474:Neurons / Q000502:physiology*; D013269:Stochastic Processes; D009435:Synaptic Transmission / Q000502:physiology*