Noise in the nervous system
By Aldo A. Faisal, Luc P. J. Selen, D. M. Wolpert. 2008
1,607 citations recorded by the source corpus.
Noise — random disturbances of signals — poses a fundamental problem for information processing and affects all aspects of nervous-system function. However, the nature, amount and impact of noise in the nervous system have only recently been addressed in a quantitative manner. Experimental and computational methods have shown that multiple noise sources contribute to cellular and behavioural trial-to-trial variability. We review the sources of noise in the nervous system, from the molecular to the behavioural level, and show how noise contributes to trial-to-trial variability. We highlight how noise affects neuronal networks and the principles the nervous system applies to counter detrimental effects of noise, and briefly discuss noise's potential benefits.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Giacomo Indiveri
- Subutai Ahmad
- B. Linares‐Barranco
- George Deligeorgis
- E. T. Rolls
- T. Prodromakis
- Robert A. Legenstein
- D. Bassett
In Cognitive Neuroscience
- D. Bassett
- Olaf Sporns
- M. A. Porter
- Scott T. Grafton
- Nicholas F. Wymbs
- Giacomo Indiveri
- Jean M. Carlson
- Peter J. Mucha
In Statistical and Nonlinear Physics
- D. Bassett
- M. A. Porter
- Scott T. Grafton
- Nicholas F. Wymbs
- Peter J. Mucha
- Jean M. Carlson
- E. T. Rolls
- Giacomo Indiveri
Citations in the corpus
- Dynamic reconfiguration of human brain networks during learning (2010, background): “Flexibility might be a network signature of a complex underlying cortical system characterized by noise (49).”
- The mechanisms for pattern completion and pattern separation in the hippocampus (2013, background): “The sources of the noise include quantal transmitter release, and noise in ion channel openings (Faisal et al., 2008).”
- Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex (2015, background): “Additionally, it is well known that biological synapses are stochastic (Faisal et al., 2008), so a neocortical theory cannot require precision of synaptic efficacy.”
- Integration of nanoscale memristor synapses in neuromorphic computing architectures (2013, background): “…is significant trial to trial variability in their responses to identical stimuli; it is evident also at the level of chemical synapses, where there is a high degree of stochasticity in the transmission of neurotransmitter molecules [73], from the pre-synaptic terminal to the post-synaptic one.”