Neuronal Noise pp 111-183 | Cite as

Integrative Properties in the Presence of Noise

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 8)


In the previous chapter, we have reviewed models of synaptic noise which were directly based on in vivo measurements. In the present chapter, we use these models to investigate the type of consequences that this noisy synaptic activity can have on the fundamental behavior of neurons, such as their responsiveness and integrative properties. We start by reviewing early results of the effect of noise on neurons, before detailing, using computational models, a number of beneficial effects of the presence of intense synaptic background activity present in neocortical pyramidal neurons in vivo.


Background Activity Synaptic Input Stochastic Resonance Excitatory Synapse Integrative Property 


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Unité de Neuroscience, Information et ComplexitéCNRS, UPR-2191Gif-sur-YvetteFrance

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