Stable Learning in Stochastic Network States
نویسندگان
چکیده
منابع مشابه
Stable learning in stochastic network states.
The mammalian cerebral cortex is characterized in vivo by irregular spontaneous activity, but how this ongoing dynamics affects signal processing and learning remains unknown. The associative plasticity rules demonstrated in vitro, mostly in silent networks, are based on the detection of correlations between presynaptic and postsynaptic activity and hence are sensitive to spontaneous activity a...
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Neuronal networks in vivo are characterized by considerable spontaneous activity, which is highly complex and intrinsically generated by a combination of single-cell electrophysiological properties and recurrent circuits. As seen, for example, during waking compared with being asleep or under anesthesia, neuronal responsiveness differs, concomitant with the pattern of spontaneous brain activity...
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ژورنال
عنوان ژورنال: Journal of Neuroscience
سال: 2012
ISSN: 0270-6474,1529-2401
DOI: 10.1523/jneurosci.2496-11.2012