In this section
@article{Fagerholm:2016:cercor/bhw200,
author = {Fagerholm, ED and Scott, G and Shew, WL and Song, C and Leech, R and Knöpfel, T and Sharp, DJ},
doi = {cercor/bhw200},
journal = {Cerebral Cortex},
pages = {3945--3952},
title = {Cortical Entropy, Mutual Information and Scale-Free Dynamics in Waking Mice},
url = {http://dx.doi.org/10.1093/cercor/bhw200},
volume = {26},
year = {2016}
}
TY - JOUR
AB - Some neural circuits operate with simple dynamics characterized by one or a few well-defined spatiotemporal scales (e.g. central pattern generators). In contrast, cortical neuronal networks often exhibit richer activity patterns in which all spatiotemporal scales are represented. Such "scale-free" cortical dynamics manifest as cascades of activity with cascade sizes that are distributed according to a power-law. Theory and in vitro experiments suggest that information transmission among cortical circuits is optimized by scale-free dynamics. In vivo tests of this hypothesis have been limited by experimental techniques with insufficient spatial coverage and resolution, i.e., restricted access to a wide range of scales. We overcame these limitations by using genetically encoded voltage imaging to track neural activity in layer 2/3 pyramidal cells across the cortex in mice. As mice recovered from anesthesia, we observed three changes: (a) cortical information capacity increased, (b) information transmission among cortical regions increased and (c) neural activity became scale-free. Our results demonstrate that both information capacity and information transmission are maximized in the awake state in cortical regions with scale-free network dynamics.
AU - Fagerholm,ED
AU - Scott,G
AU - Shew,WL
AU - Song,C
AU - Leech,R
AU - Knöpfel,T
AU - Sharp,DJ
DO - cercor/bhw200
EP - 3952
PY - 2016///
SN - 1460-2199
SP - 3945
TI - Cortical Entropy, Mutual Information and Scale-Free Dynamics in Waking Mice
T2 - Cerebral Cortex
UR - http://dx.doi.org/10.1093/cercor/bhw200
UR - http://hdl.handle.net/10044/1/37079
VL - 26
ER -