publication . Preprint . Other literature type . Article . 2018

Functional importance of noise in neuronal information processing

Daqing Guo; Matjaž Perc; Tiejun Liu; Dezhong Yao;
Open Access English
  • Published: 28 Dec 2018
Noise is an inherent part of neuronal dynamics, and thus of the brain. It can be observed in neuronal activity at different spatiotemporal scales, including in neuronal membrane potentials, local field potentials, electroencephalography, and magnetoencephalography. A central research topic in contemporary neuroscience is to elucidate the functional role of noise in neuronal information processing. Experimental studies have shown that a suitable level of noise may enhance the detection of weak neuronal signals by means of stochastic resonance. In response, theoretical research, based on the theory of stochastic processes, nonlinear dynamics, and statistical physi...
arXiv: Quantitative Biology::Neurons and Cognition
free text keywords: Quantitative Biology - Neurons and Cognition, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Physics - Biological Physics, General Physics and Astronomy, Statistical physics, Information processing, Physics, Quantum mechanics

[1] Kandel E. R. et al., Principles of neural science (McGraw-Hill, New York) 2012.

[2] Gerstner W. and Kistler W. M., Spiking neuron models: Single neurons, populations, plasticity (Cambridge University Press, Cambridge) 2002.

[3] Destexhe A. and Rudolph-Lilith M., Neuronal noise (Springer Science & Business Media) 2012.

[4] Stein R. B. et al., Nat. Rev. Neurosci., 6 (2005) 389.

[5] Stevens C. F., Biophys., 12 (1972) 1028.

[6] Hille B., Ionic channels of excitable membranes (Sinauer Associates, Sunderland, MA) 1992.

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