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 of the adult mammalian cortex suggests that these connectivity patterns are used by the nervous system to maintain sparse bursting and optimal multiplexing. Contrary to firing-rate coding, our findings indicate that the physiology and anatomy of the cortex may be interpreted as optimizing the transmission of multiple independent signals to different targets.

authors

Naud R,Sprekeler H

doi

10.1073/pnas.1720995115

subject

Has Abstract

pub_date

2018-07-03 00:00:00

pages

E6329-E6338

issue

27

eissn

0027-8424

issn

1091-6490

pii

1720995115

journal_volume

115

pub_type

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