作者:
DOI: 10.1093/ACPROF:OSO/9780199235070.001.0001
关键词: Intact brain 、 Cerebral cortex 、 Synaptic noise 、 Computational model 、 Membrane potential 、 Neuroscience 、 Review analysis 、 Stochastic neural network 、 Computer science 、 Stochastic process
摘要: In the cerebral cortex of awake animals, neurons are subject to tremendous fluctuating activity, mostly synaptic origin, termed "synaptic noise". Synaptic noise is dominant source membrane potential fluctuations in and can have a strong influence on their integrative properties. We review here experimental measurements noise, its modelling by conductance-based stochastic processes. then consequences neuronal properties, as predicted computational models investigated experimentally using dynamic clamp. also analysis methods such spike-triggered average or conductance analysis, which derived from These different approaches aim at understanding properties neocortical intact brain.