Cited by 181Neural dynamics and brain functionVisual perception and processing mechanismsMultisensory perception and integration

Origins of choice-related activity in mouse somatosensory cortex

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Yang, Hongdian, Kwon, Sung E, Severson, Kyle S, O'Connor, Daniel H·2016·Nature Neuroscience

Abstract

During perceptual decisions about faint or ambiguous sensory stimuli, even identical stimuli can produce different choices. Spike trains from sensory cortex neurons can predict trial-to-trial variability in choice. Choice-related spiking is widely studied as a way to link cortical activity to perception, but its origins remain unclear. Using imaging and electrophysiology, we found that mouse primary somatosensory cortex neurons showed robust choice-related activity during a tactile detection task. Spike trains from primary mechanoreceptive neurons did not predict choices about identical stimuli. Spike trains from thalamic relay neurons showed highly transient, weak choice-related activity. Intracellular recordings in cortex revealed a prolonged choice-related depolarization in most neurons that was not accounted for by feed-forward thalamic input. Top-down axons projecting from secondary to primary somatosensory cortex signaled choice. An intracellular measure of stimulus sensitivity determined which neurons converted choice-related depolarization into spiking. Our results reveal how choice-related spiking emerges across neural circuits and within single neurons.

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  • Correlation with choice is strongest for feedback S2-to-wS1 projecting neurons.

    “Correlation with choice was found to be strongest for the feedback S2 to wS1 projecting neurons (23).”

    From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [23]

    The Results section, “Top-down feedback of choice-related activity to S1” (page unavailable), reports that S2-to-S1 axon activity predicted choice. The Discussion describes choice-related activity as prominent in this feedback pathway and relatively weak along the rapid feedforward pathway, but it does not establish that the S2-to-S1 projection had the strongest correlation with choice overall. (LLM, conf=0.86)

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  • The primary sensory cortex not only retains relatively weak and sparse choice-related activity but also, in this naturalistic behavioral task, directly participates in categorical coding of an all-or-none decision variable into which the majority of neural populations are recruited.

    “These observations indicate that the primary sensory cortex not only retains relatively weak and sparse choice-related activity, as it was shown previously (10, 11, 19–25), but also, in our naturalistic behavioral task, directly participates in a categorical coding of all-or-none DV into which the majority of neural populations are recruited.”

    From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [23]

    Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • Neural activity in subpopulations of layer 2/3 wS1 neurons is correlated with behavioral choice.

    “More recent experiments (22–25) have shown neural activity in subpopulations of layer 2/3 of wS1 neurons is correlated with behavioral choice.”
  • Sensory S1 and S2 cortices have strongly lateralized ipsilateral outputs and are densely and reciprocally interconnected, forming a top-down feedback loop that exhibits choice-related activity.

    “In contrast, sensory S1 and S2 cortices have strongly lateralized ipsilateral outputs (43, 59) and are densely and reciprocally interconnected (60) forming a top–down feedback loop that exhibits choice-related activity (10, 11, 22–25).”

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Research works printed but not linked: 1

  1. [55]Yizhar O Fenno LE Davidson TJ Mogri M Deisseroth K Optogenetics in neural systems Neuron 71 9 34 2011 21745635

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Authors
Yang, H., Kwon, S. E., Severson, K. S., & O'Connor, D. H.
Affiliations
Johns Hopkins University (US)
Venue
Nature Neuroscience
Published
2015-12-07
Volume
19
Issue
1
Pages
127-134
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2211009999
Cited by
180
References
62
Citations by year
2026: 13 · 2025: 12 · 2024: 21 · 2023: 13 · 2022: 15 · 2021: 22 · 2020: 21 · 2019: 17 · 2018: 16 · 2017: 17 · 2016: 13
FWCI
9.22
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • Howard Hughes Medical Institute
  • National Institutes of Health
  • National Institute of Neurological Disorders and Stroke (R01NS089652, P30NS050274, T32NS091018)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
Keywords
primary somatosensory cortex, perceptual decision making, tactile detection, trial-to-trial variability, thalamocortical neurons, top-down feedback, stimulus sensitivity, mice
MeSH terms
Animals, Behavior, Animal, Choice Behavior, Female, Male, Mechanoreceptors, Mice, Inbred C57BL, Neurons, Psychomotor Performance, Somatosensory Cortex, Vibrissae, Signal Detection, Psychological, Patch-Clamp Techniques, Ventral Thalamic Nuclei, Mice, Touch Perception, Electrophysiological Phenomena, Optogenetics

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