Display Settings:

Format

Send to:

Choose Destination
Curr Opin Neurobiol. 2009 Aug;19(4):439-44. doi: 10.1016/j.conb.2009.07.005. Epub 2009 Aug 3.

Spontaneous and driven cortical activity: implications for computation.

Author information

  • Department of Neurobiology and Psychology, Jules Stein Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095-1563, USA. dario@ucla.edu

Abstract

The traditional view of spontaneous neural activity as 'noise' has been challenged by recent findings suggesting that: (a) spontaneous activity in cortical populations is highly structured in both space and time, (b) the spatio-temporal structure of spontaneous activity is linked to the underlying connectivity of the cortical network, (c) spontaneous cortical activity interacts with external stimulation to generate responses to the individual presentations of a stimulus, (d) network connectivity is shaped in part by the statistics of natural signals and (e) ongoing cortical activity represents a continuous top-down prediction/expectation signal that interacts with incoming input to generate an updated representation of the world. These results can be integrated to provide a new framework for the study of cortical computation.

PMID:
19647992
[PubMed - indexed for MEDLINE]
PMCID:
PMC3319344
Free PMC Article

Images from this publication.See all images (1)Free text

Fig 1
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Write to the Help Desk