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etatsunisien23 karma

Hi guys. I'm in a lab in another part of the world where a different kind of virtual brain has been developed, where we were interested in recreating the global spatiotemporal pattern dynamics of the cortex based on empirical connectivity measured from diffusion {spectrum, tensor, weighted} imaging.

In particular, we're pretty sure transmission delays and stochastic forcing contribute significantly to form the critical organization of the brain's dynamics. Do these elements show up in your model?

I'm also pretty keen on understanding exactly how you operationalize your tasks/functions. Are they arbitrary input/output mappings or do they form autonomous dynamical systems? Does the architecture scale to tasks or behaviors with multiple time scales such as handwriting (strokes, letters, word, sentences, e.g.)? Is this a large scale application of the 90s connectionist theories on universal function approximation, or have I missed a great theoretical advance that's been made?

While I'm at it, how do you guys relate your work to Friston's free energy theory of brain function?

cheers, fellow theoretical neuroscientist