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High noise correlation between the functionally connected neurons in emergent V1 microcircuits
- Source :
- Experimental Brain Research. 234:523-532
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- Neural correlations (noise correlations and cross-correlograms) are widely studied to infer functional connectivity between neurons. High noise correlations between neurons have been reported to increase the encoding accuracy of a neuronal population; however, low noise correlations have also been documented to play a critical role in cortical microcircuits. Therefore, the role of noise correlations in neural encoding is highly debated. To this aim, through multi-electrodes, we recorded neuronal ensembles in the primary visual cortex of anaesthetized cats. By computing cross-correlograms, we divulged the functional network (microcircuit) between neurons within an ensemble in relation to a specific orientation. We show that functionally connected neurons systematically exhibit higher noise correlations than functionally unconnected neurons in a microcircuit that is activated in response to a particular orientation. Furthermore, the mean strength of noise correlations for the connected neurons increases steeply than the unconnected neurons as a function of the resolution window used to calculate noise correlations. We suggest that neurons that display high noise correlations in emergent microcircuits feature functional connections which are inevitable for information encoding in the primary visual cortex.
- Subjects :
- 0301 basic medicine
Nerve net
Visual system
Functional networks
03 medical and health sciences
0302 clinical medicine
Electricity
medicine
Animals
Visual Pathways
Visual Cortex
Neurons
Physics
Communication
business.industry
Orientation (computer vision)
General Neuroscience
Noise correlation
Low noise
Noise
030104 developmental biology
Visual cortex
medicine.anatomical_structure
nervous system
Cats
Nerve Net
business
Neuroscience
Photic Stimulation
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14321106 and 00144819
- Volume :
- 234
- Database :
- OpenAIRE
- Journal :
- Experimental Brain Research
- Accession number :
- edsair.doi.dedup.....9bcd0270d9c3770ad96af49980a08f68