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2017
DOI: 10.1523/eneuro.0037-17.2017
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Rate and Temporal Coding Convey Multisensory Information in Primary Sensory Cortices

Abstract: Optimal behavior and survival result from integration of information across sensory systems. Modulation of network activity at the level of primary sensory cortices has been identified as a mechanism of cross-modal integration, yet its cellular substrate is still poorly understood. Here, we uncover the mechanisms by which individual neurons in primary somatosensory (S1) and visual (V1) cortices encode visual-tactile stimuli. For this, simultaneous extracellular recordings were performed from all layers of the … Show more

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Cited by 37 publications
(31 citation statements)
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References 96 publications
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“…The field has a growing body of evidence showing that the canonical model needs to be enhanced to support more sophisticated visual computation. 5,31 For instance, neurons in mouse V1 show complex visual responses previously associated with higher cortical areas, including pattern selectivity for plaid stimuli 33 Furthermore, the emergence of the rodent as a prominent model of the visual system in recent years has revealed evidence of non-visual computation, including behavioral responses such as reward timing and sequence learning 34 , as well as modulation by multimodal sensory stimuli 35,36 and motor signals. 23,24,3739…”
Section: Discussionmentioning
confidence: 99%
“…The field has a growing body of evidence showing that the canonical model needs to be enhanced to support more sophisticated visual computation. 5,31 For instance, neurons in mouse V1 show complex visual responses previously associated with higher cortical areas, including pattern selectivity for plaid stimuli 33 Furthermore, the emergence of the rodent as a prominent model of the visual system in recent years has revealed evidence of non-visual computation, including behavioral responses such as reward timing and sequence learning 34 , as well as modulation by multimodal sensory stimuli 35,36 and motor signals. 23,24,3739…”
Section: Discussionmentioning
confidence: 99%
“…If we had limited our analysis to the synchronization of spike-times irrespective of their iFR, we would not have observed any differences between PV and SST interneurons. This result provides further evidence that, in vivo, spike-timing and firing-rate cannot be considered in isolation [7][8][9] .…”
Section: Discussionmentioning
confidence: 55%
“…Since spike-time and firing rate co-exist and are not completely dissociable in the spiketiming sequences [7][8][9] , it is important to examine how the synchronization of spike-times depend on the iFR of ISI. Thus, we directly compared the spike-times of synchronized L5 and L6 neurons with that of L4 neurons as a function of the L4 neurons' iFRs.…”
Section: Resultsmentioning
confidence: 99%
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