ArticlePLoS biology2017
Rate, not selectivity, determines neuronal population coding accuracy in auditory cortex.
Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Importance of Synchrony in the Neural Control of Movement.bioRxiv : the preprint server for biology · 2026Article
- Synchrony, oscillations, and phase relationships in collective neuronal activity: A highly comparative overview of methods.PLoS computational biology · 2025Article
- Engineering spatiotemporal patterns: information encoding, processing, and controllability in oscillator ensembles.Biomedical physics & engineering express · 2023Article
- [Auditory response patterns of mouse primary auditory cortex to sound stimuli].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
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2 authors.
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Abstract
The notion that neurons with higher selectivity carry more information about external sensory inputs is widely accepted in neuroscience. High-selectivity neurons respond to a narrow range of sensory inputs, and thus would be considered highly informative by rejecting a large proportion of possible inputs. In auditory cortex, neuronal responses are less selective immediately after the onset of a sound and then become highly selective in the following sustained response epoch. These 2 temporal response epochs have thus been interpreted to encode first the presence and then the content of a sound input. Contrary to predictions from that prevailing theory, however, we found that the neural population conveys similar information about sound input across the 2 epochs in spite of the neuronal selectivity differences. The amount of information encoded turns out to be almost completely dependent upon the total number of population spikes in the read-out window for this system. Moreover, inhomogeneous Poisson spiking behavior is sufficient to account for this property. These results imply a novel principle of sensory encoding that is potentially shared widely among multiple sensory systems.
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