4.8 Article

Cortical Areas Interact through a Communication Subspace

Journal

NEURON
Volume 102, Issue 1, Pages 249-+

Publisher

CELL PRESS
DOI: 10.1016/j.neuron.2019.01.026

Keywords

-

Categories

Funding

  1. Fundacao para a Ciencia e a Tecnologia graduate scholarship [SFRH/BD/52069/2012]
  2. John and Claire Bertucci Graduate Fellowship
  3. NIH [U01 NS094288, R01 EY016774]
  4. Simons Collaboration on the Global Brain [364994, 543009, 543065, 542999]
  5. NIH CRCNS [R01 HD071686, R01 NS105318]
  6. NSF NCS BCS [1533672, 1734916]
  7. Pennsylvania Department of Health Research Formula Grant under the Commonwealth Universal Research Enhancement program [SAP 4100077048]
  8. Irma T. Hirschl Trust
  9. Fundação para a Ciência e a Tecnologia [SFRH/BD/52069/2012] Funding Source: FCT

Ask authors/readers for more resources

Most brain functions involve interactions among multiple, distinct areas or nuclei. For instance, visual processing in primates requires the appropriate relaying of signals across many distinct cortical areas. Yet our understanding of how populations of neurons in interconnected brain areas communicate is in its infancy. Here we investigate how trial-to-trial fluctuations of population responses in primary visual cortex (V1) are related to simultaneously recorded population responses in area V2. Using dimensionality reduction methods, we find that V1 -V2 interactions occur through a communication subspace: V2 fluctuations are related to a small subset of V1 population activity patterns, distinct from the largest fluctuations shared among neurons within V1. In contrast, interactions between subpopulations within V1 are less selective. We propose that the communication subspace may be a general, population-level mechanism by which activity can be selectively routed across brain areas.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available