Cited by 149Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Rates and rhythms: a synergistic view of frequency and temporal coding in neuronal networks

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Ainsworth, Matt, Lee, Shane, Cunningham, Mark O., Traub, Roger D., Kopell, Nancy J., Whittington, Miles A.·2012·Neuron

Abstract

In the CNS, activity of individual neurons has a small but quantifiable relationship to sensory representations and motor outputs. Coactivation of a few 10s to 100s of neurons can code sensory inputs and behavioral task performance within psychophysical limits. However, in a sea of sensory inputs and demand for complex motor outputs how is the activity of such small subpopulations of neurons organized? Two theories dominate in this respect: increases in spike rate (rate coding) and sharpening of the coincidence of spiking in active neurons (temporal coding). Both have computational advantages and are far from mutually exclusive. Here, we review evidence for a bias in neuronal circuits toward temporal coding and the coexistence of rate and temporal coding during population rhythm generation. The coincident expression of multiple types of gamma rhythm in sensory cortex suggests a mechanistic substrate for combining rate and temporal codes on the basis of stimulus strength.

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Crossref · 10.1016/j.neuron.2012.08.004

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  • Increases in temporal precision and synchronization on a millisecond timescale of interacting neuronal networks can dramatically increase the efficacy of interneuronal communication.

    “Increases in temporal precision and synchronization, on a millisecond time scale, of interacting networks of neurons can dramatically increase the efficacy of interneuronal communication”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Ainsworth et al., 2012

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Authors
Ainsworth, M., Lee, S., Cunningham, M. O., Traub, R. D., Kopell, N. J., & Whittington, M. A.
Affiliations
  • Boston University (US)
  • Newcastle University (GB)
  • IBM Research - Thomas J. Watson Research Center (US)
Corresponding author
Whittington, Miles A.
Venue
Neuron
Publisher
Elsevier BV
Published
2012-08
Volume
75
Issue
4
Pages
572-583
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2048660601
Cited by
149
References
127
Citations by year
2026: 5 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 12 · 2021: 9 · 2020: 10 · 2019: 9 · 2018: 11 · 2017: 21 · 2016: 13 · 2015: 17 · 2014: 14 · 2013: 14 · 2012: 1
FWCI
1.17
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Newcastle University ePrints (Newcastle Univesity)
Funders
  • National Institutes of Health (5r01ns044133-15)
  • National Institute of Neurological Disorders and Stroke (R01-NS044133, R01NS062955, NS44133, NS062955)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
rate coding, temporal coding, spike timing, neuronal networks, gamma oscillations, sensory cortex, coincidence detection, spike frequency, stimulus strength, neural coding
MeSH terms
Action Potentials, Animals, Brain, Humans, Models, Neurological, Nerve Net, Neural Pathways, Neurons, Time Factors

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