Network-state modulation of power-law frequency-scaling in visual cortical neurons.

ABSTRACT: Various types of neural-based signals, such as EEG, local field potentials and intracellular synaptic potentials, integrate multiple sources of activity distributed across large assemblies. They have in common a power-law frequency-scaling structure at high frequencies, but it is still unclear whether this scaling property is dominated by intrinsic neuronal properties or by network activity. The latter case is particularly interesting because if frequency-scaling reflects the network state it could be used to characterize the functional impact of the connectivity. In intracellularly recorded neurons of cat primary visual cortex in vivo, the power spectral density of V(m) activity displays a power-law structure at high frequencies with a fractional scaling exponent. We show that this expone

SUBMITTER: El Boustani S 

PROVIDER: S-EPMC2740863 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature