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On multi-area cortex models - with Sacha van Albada - #4

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Manage episode 407333124 series 3562348
Content provided by Gaute Einevoll. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gaute Einevoll or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

A key goal of computational neuroscience is to build mathematical models linking single-neuron activity to systems-level activity.

The guest has taken some bold steps in this direction by developing and exploring a multi-area model for the macaque visual cortex, and later also a model for the human cortex, using millions of simplified spiking neuron models.

We discuss the many design choices, the challenge of running the models, and what has been learned so far.

  continue reading

15 episodes

Artwork
iconShare
 
Manage episode 407333124 series 3562348
Content provided by Gaute Einevoll. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gaute Einevoll or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

A key goal of computational neuroscience is to build mathematical models linking single-neuron activity to systems-level activity.

The guest has taken some bold steps in this direction by developing and exploring a multi-area model for the macaque visual cortex, and later also a model for the human cortex, using millions of simplified spiking neuron models.

We discuss the many design choices, the challenge of running the models, and what has been learned so far.

  continue reading

15 episodes

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