AI Article Synopsis

  • Biological neural networks, especially in the visual cortex of different species, process information through both spontaneous and stimulus-evoked activities, but how they handle internal noise vs. sensory signals is debated.
  • In mouse primary visual cortex (V1), spontaneous and stimulus-evoked activities reveal dissimilar patterns, aiding in the separation of sensory information from noise, while higher similarity is observed in carnivores and primates.
  • The study found that in marmosets, while V1 shows similar spontaneous and stimulus-evoked activity, higher visual areas exhibit an increasing orthogonalization of these patterns, suggesting a broader principle of cortical computation across species.

Article Abstract

How biological neural networks reliably process information in the presence of spontaneous activity remains controversial. In mouse primary visual cortex (V1), stimulus-evoked and spontaneous activity show orthogonal (dissimilar) patterns, which is advantageous for separating sensory signals from internal noise. However, studies in carnivore and primate V1, which have functional columns, have reported high similarity between stimulus-evoked and spontaneous activity. Thus, the mechanism of signal-noise separation in the columnar visual cortex may be different from that in rodents. To address this issue, we compared spontaneous and stimulus-evoked activity in marmoset V1 and higher visual areas. In marmoset V1, spontaneous and stimulus-evoked activity showed similar patterns as expected. However, in marmoset higher visual areas, spontaneous and stimulus-evoked activity were progressively orthogonalized along the cortical hierarchy, eventually reaching levels comparable to those in mouse V1. These results suggest that orthogonalization of spontaneous and stimulus-evoked activity is a general principle of cortical computation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11618767PMC
http://dx.doi.org/10.1038/s41467-024-54322-xDOI Listing

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