publication . Article . 2016

Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise

Sou Nobukawa; Haruhiko Nishimura;
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  • Published: 08 Jun 2016 Journal: International Journal of Neural Systems, volume 26, page 1,550,040 (issn: 0129-0657, eissn: 1793-6462, Copyright policy)
  • Publisher: World Scientific Pub Co Pte Lt
Abstract
<jats:p> Synaptic plasticity is widely recognized to support adaptable information processing in the brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous spike propagation with temporal spiking coding information. Recently, it was reported that in a noisy environment, like the actual brain, the spike-timing-dependent plasticity may be made efficient by the effect of stochastic resonance. In the stochastic resonance, the presence of noise helps a nonlinear system in amplifying a weak (under barrier) signal. However, previous studies have ignored the full variety of spiking patterns and many relevant factors in neural dynami...
Subjects
arXiv: Quantitative Biology::Neurons and Cognition
free text keywords: Computer Networks and Communications, General Medicine, Artificial intelligence, business.industry, business, Bursting, Computer science, Plasticity, Biological neuron model, Machine learning, computer.software_genre, computer, Spike-timing-dependent plasticity, Neuroplasticity, Stochastic resonance, Stochastic process, Synaptic plasticity
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