Workshop
Parent Program: | -- |
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Location: | SLMath: Baker Board Room, Atrium |
For decades, neuroscientists have dreamed about the possibility of recording from all the neurons in a brain, or of having access to a complete large brain wiring diagram, or ideally to obtain both of these datasets simultaneously, in the same brain. Recent technical advances have brought this dream close to reality in some cases. Now the challenge will be to understand these massive datasets. A few domains will be particularly relevant:
Inferring network structure from noisy and incomplete data
Inferring computational input-output function from structure
Optimal experimental design (incl. compressive sensing methods) for observation of networks
Modeling structured stochastic network dynamics
Optimal control of network dynamics
Inferring low-dimensional dynamics from high-dimensional observations
There’s a strong need in neuroscience for deep new ideas from mathematics and statistics, and our hope is that this small, focused workshop without many formal talks will spark collaborations that will lead to breakthroughs in the areas described above.
This workshop is by invitation only.
This workshop is supported by a generous donation from Sanford Grossman.
Keywords and Mathematics Subject Classification (MSC)
Primary Mathematics Subject Classification
No Primary AMS MSC
Secondary Mathematics Subject Classification
No Secondary AMS MSC