Sparse bursts optimize information transmission in a multiplexed neural code.

ABSTRACT: Many cortical neurons combine the information ascending and descending the cortical hierarchy. In the classical view, this information is combined nonlinearly to give rise to a single firing-rate output, which collapses all input streams into one. We analyze the extent to which neurons can simultaneously represent multiple input streams by using a code that distinguishes spike timing patterns at the level of a neural ensemble. Using computational simulations constrained by experimental data, we show that cortical neurons are well suited to generate such multiplexing. Interestingly, this neural code maximizes information for short and sparse bursts, a regime consistent with in vivo recordings. Neurons can also demultiplex this information, using specific connectivity patterns. The anatomy o

SUBMITTER: Naud R 

PROVIDER: S-EPMC6142200 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature