Transcription of Poisson Model of Spike Generation
{{id}} {{{paragraph}}}
Example: biology
Poisson Model of Spike Generation
Poisson Model of Spike GenerationProfessor David HeegerSeptember 5, 2000In the cortex, the timing of successive action potentials is highly irregular. The interpretationof this irregularity has led to two divergent views of cortical organization. On the one hand, theirregularity might arise from stochastic forces. If so, the irregular interspike interval reflects arandom process and implies that an instantaneous estimate of the Spike rate can be obtained byaveraging the pooled responses of many individual neurons. In keeping with this theory, onewould expect that the precise timing of individual spikes conveys little information. Alternatively,the irregular ISI may result from precise coincidences of presynaptic events. In this scenario, it ispostulated that the timing of spikes, their intervals and patterns can convey information.
above cumulative distribution: p ( )= d dt 1 e r = re: (7) Thus, the interspike interval densityfor a homogeneous Poisson spike train is an exponential func-tion. The most likely interspike intervals are short ones and long intervals have a probability that falls exponentially as a function of their duration. Interspike interval histograms can ...
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: