Cortical Areas Interact through a Communication Subspace

Cortical Areas Interact through a Communication Subspace

Simons Institute via YouTube Direct link

Condition-independent components: Only part of manifold is experimentally controlled

5 of 17

5 of 17

Condition-independent components: Only part of manifold is experimentally controlled

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Cortical Areas Interact through a Communication Subspace

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  1. 1 Intro
  2. 2 Linear readout from a population
  3. 3 (1) demix dependencies on task parameters
  4. 4 Algorithm Step 1: decompose PSTHS into marginalized averages
  5. 5 Condition-independent components: Only part of manifold is experimentally controlled
  6. 6 Inter-area communication: theory
  7. 7 Inter-area communication: experiment
  8. 8 Simultaneous recordings in V1 output layers and V2 input layers of macaque
  9. 9 Population activity quantified as spike counts
  10. 10 Relating V1 population activity to response of a single V2 neuron
  11. 11 Predicting the V2 population Could predictive dimensions span a subspace?
  12. 12 Control: Is V2 activity lower dimensional than V1 activity?
  13. 13 V1-V2 interaction is low dimensional
  14. 14 Controls
  15. 15 Do predictive dimensions match dominant dimensions?
  16. 16 Predictive dimensions do not match dominant dimensions
  17. 17 prediction of target V1 activity relies on source V1 dominant modes

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