Cited by 196Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

State changes rapidly modulate cortical neuronal responsiveness

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Hasenstaub, Andrea, Sachdev, Robert N. S., McCormick, David A.·2007·The Journal of Neuroscience

Abstract

The responsiveness of cortical neurons is strongly and rapidly influenced by changes in the level of local network activity. In rodent somatosensory cortex, increases in network activity increase neuronal responsiveness to the intracellular injection of brief conductance stimuli but paradoxically decrease responsiveness to brief whisker deflections. However, whisker stimulation frequently evokes long-lasting changes in the level of local circuit activity. The ability of stimuli to successfully evoke prolonged increases in circuit activity is associated with both an increase in the amount of conductance evoked by a whisker stimulus and an increase in action potential responsiveness to whisker stimulation. In addition, brief whisker stimuli presented during periods of high network activity evoke postsynaptic potentials containing a greater proportion of inhibition, consistent with an increased efficiency in the activation of inhibitory mechanisms during the Up state. In contrast, during prolonged and variable whisker stimulation, increased network activity is associated with an increase in overall responsiveness, dynamic range, output gain, and correlation between action potential response and speed of whisker movement. We conclude that stimulus-evoked or spontaneous alterations in cortical state can influence neuronal responsiveness in a complex manner, resulting in large changes in which, and how, sensory stimuli are represented.

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Crossref · 10.1523/jneurosci.2184-07.2007

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  • In states with prominent low frequencies in cortical network activity, sensory stimuli may trigger responses that are inappropriately weak or strong and do not optimally represent the spatiotemporal features of the stimulus.

    “In contrast, in states with prominent low frequencies in cortical network activity, sensory stimuli may trigger responses that are either inappropriately weak or strong, and which do not optimally represent the spatiotemporal features of the stimulus”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Hasenstaub et al., 2007

  • The ability of somatosensory cortex to accurately represent complex whisker deflections is facilitated by cortical activation.

    “However, the ability of somatosensory cortex to accurately represent complex whisker deflections is facilitated by cortical activation”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Hasenstaub et al., 2007

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Authors
Hasenstaub, A., Sachdev, R. N. S., & McCormick, D. A.
Affiliations
  • Yale University (US)
  • Salk Institute for Biological Studies (US)
Corresponding author
McCormick, David A.
Venue
The Journal of Neuroscience
Published
2007-09-05
Volume
27
Issue
36
Pages
9607-9622
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2004550838
Cited by
196
References
65
Citations by year
2026: 5 · 2025: 3 · 2024: 6 · 2023: 6 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 11 · 2018: 7 · 2017: 14 · 2016: 14 · 2015: 13 · 2014: 13 · 2013: 16 · 2012: 12
FWCI
7.49
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, public-domain)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institutes of Health
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
cortical state, up states, somatosensory cortex, whisker stimulation, network activity, conductance change, postsynaptic inhibition, dynamic range, sensory representation, rodent cortex
MeSH terms
Action Potentials, Animals, Biological Clocks, Male, Nerve Net, Neurons, Physical Stimulation, Somatosensory Cortex, Time Factors, Vibrissae, Rats, Sprague-Dawley, Patch-Clamp Techniques, Rats

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