Cited by 1,660Neural dynamics and brain functionVisual perception and processing mechanismsNeuroscience and Neuropharmacology Research

Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses

Arieli, Amos, Sterkin, Alexander, Grinvald, Amiram, Aertsen, Ad·1996·Science

Abstract

Evoked activity in the mammalian cortex and the resulting behavioral responses exhibit a large variability to repeated presentations of the same stimulus. This study examined whether the variability can be attributed to ongoing activity. Ongoing and evoked spatiotemporal activity patterns in the cat visual cortex were measured with real-time optical imaging; local field potentials and discharges of single neurons were recorded simultaneously, by electrophysiological techniques. The evoked activity appeared deterministic, and the variability resulted from the dynamics of ongoing activity, presumably reflecting the instantaneous state of cortical networks. In spite of the large variability, evoked responses in single trials could be predicted by linear summation of the deterministic response and the preceding ongoing activity. Ongoing activity must play an important role in cortical function and cannot be ignored in exploration of cognitive processes.

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Crossref · 10.1126/science.273.5283.1868

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27 of 27 references verified0 citation errors · 0 not checkable

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  • Spontaneous activity is not random and is determined by similar or the same neural circuits involved in sensory responses.

    “However, spontaneous activity is not random and is determined by the operation of similar or the same neural circuits involved in sensory responses”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Arieli et al., 1996

  • Neuronal variability in firing rates is particularly high during anesthesia, possibly due to enhanced slow fluctuations.

    “Neuronal variability in firing rates is particularly high during anesthesia, possibly as a result of enhanced slow fluctuations (Arieli et al., 1996; Ecker and Tolias, 2014; Goard and Dan, 2009; Goris et al., 2014; Hasenstaub et al., 2007; I-Chun et al., 2015; Marguet and Harris, 2011; Scholvinck et al., 2015; Zagha et al., 2013).”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Arieli et al., 1996

  • Coherent spontaneous activity appears to be an important source of trial-to-trial variability in measured brain responses.

    “For example, coherent spontaneous activity appears to be an important source of trial-to-trial variability in measured brain responses (42,43) and may relate to the trialto-trial variability commonly observed in human behavior (44).”

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Authors
Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A.
Affiliations
Weizmann Institute of Science (IL)
Corresponding author
Aertsen, Ad
Venue
Science
Published
1996-09-27
Volume
273
Issue
5283
Pages
1868-1871
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2014339193
Cited by
1,660
References
27
Citations by year
2026: 35 · 2025: 46 · 2024: 46 · 2023: 53 · 2022: 57 · 2021: 71 · 2020: 56 · 2019: 82 · 2018: 62 · 2017: 73 · 2016: 79 · 2015: 87 · 2014: 63 · 2013: 79 · 2012: 77
FWCI
16.78
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
evoked potentials, response variability, cat visual cortex, local field potentials, real-time optical imaging, trial-to-trial variability, cortical network dynamics
MeSH terms
Animals, Cats, Evoked Potentials, Visual, Membrane Potentials, Neurons, Photic Stimulation, Signal Processing, Computer-Assisted, Visual Cortex, Visual Pathways

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