Unknown

Dataset Information

0

Timescales of multineuronal activity patterns reflect temporal structure of visual stimuli.


ABSTRACT: The investigation of distributed coding across multiple neurons in the cortex remains to this date a challenge. Our current understanding of collective encoding of information and the relevant timescales is still limited. Most results are restricted to disparate timescales, focused on either very fast, e.g., spike-synchrony, or slow timescales, e.g., firing rate. Here, we investigated systematically multineuronal activity patterns evolving on different timescales, spanning the whole range from spike-synchrony to mean firing rate. Using multi-electrode recordings from cat visual cortex, we show that cortical responses can be described as trajectories in a high-dimensional pattern space. Patterns evolve on a continuum of coexisting timescales that strongly relate to the temporal properties of stimuli. Timescales consistent with the time constants of neuronal membranes and fast synaptic transmission (5-20 ms) play a particularly salient role in encoding a large amount of stimulus-related information. Thus, to faithfully encode the properties of visual stimuli the brain engages multiple neurons into activity patterns evolving on multiple timescales.

SUBMITTER: Jurjut OF 

PROVIDER: S-EPMC3035626 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Timescales of multineuronal activity patterns reflect temporal structure of visual stimuli.

Jurjuţ Ovidiu F OF   Nikolić Danko D   Singer Wolf W   Yu Shan S   Havenith Martha N MN   Mureşan Raul C RC  

PloS one 20110208 2


The investigation of distributed coding across multiple neurons in the cortex remains to this date a challenge. Our current understanding of collective encoding of information and the relevant timescales is still limited. Most results are restricted to disparate timescales, focused on either very fast, e.g., spike-synchrony, or slow timescales, e.g., firing rate. Here, we investigated systematically multineuronal activity patterns evolving on different timescales, spanning the whole range from s  ...[more]

Similar Datasets

| S-EPMC10070246 | biostudies-literature
| S-EPMC10356845 | biostudies-literature
| S-EPMC8675747 | biostudies-literature
| S-EPMC8363941 | biostudies-literature
| S-EPMC10589710 | biostudies-literature
| S-EPMC3059109 | biostudies-literature
| S-EPMC6731093 | biostudies-literature
| S-EPMC2677143 | biostudies-literature
| S-EPMC9187114 | biostudies-literature
| S-EPMC2807406 | biostudies-literature