ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024
Disentangling Temporal and Rate Codes in the Primate Somatosensory Cortex.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Spatiotemporal encoding of touch signals in the human somatosensory and motor cortices.bioRxiv : the preprint server for biology · 2026Article
- Contribution of spike timing to the neural code: from fast to slow timescales.Biological cybernetics · 2026Review
- Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025Article
- Enhanced cortical activity of swallowing under acid stimulation in normal individuals: an fNIRS study.Frontiers in neurology · 2025Article
- Cell-type-specific bidirectional modulation of the cortico-thalamo-cortical sensory pathway by transcranial focused ultrasound (tFUS).Brain stimulationArticle
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Authors and funding
4 authors.
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Abstract
Millisecond-scale temporal spiking patterns encode sensory information in the periphery, but their role in the neocortex remains controversial. The sense of touch provides a window into temporal coding because tactile neurons often exhibit precise, repeatable, and informative temporal spiking patterns. In the somatosensory cortex (S1), responses to skin vibrations exhibit phase locking that faithfully carries information about vibratory frequency. However, the respective roles of spike timing and rate in frequency coding are confounded because vibratory frequency shapes both the timing and rates of responses. To disentangle the contributions of these two neural features, we measured S1 responses as rhesus macaques performed frequency discrimination tasks in which differences in frequency were accompanied by orthogonal variations in amplitude. We assessed the degree to which the strength and timing of responses could account for animal performance. First, we showed that animals can discriminate frequency, but their performance is biased by amplitude variations. Second, rate-based representations of frequency are susceptible to changes in amplitude but in ways that are inconsistent with the animals' behavioral biases, calling into question a rate-based neural code for frequency. In contrast, timing-based representations are highly informative about frequency but impervious to changes in amplitude, which is also inconsistent with the animals' behavior. We account for the animals' behavior with a model wherein frequency coding relies on a temporal code, but frequency judgments are biased by perceived magnitude. We conclude that information about vibratory frequency is not encoded in S1 firing rates but primarily in temporal patterning on millisecond timescales.
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