Theoretical/Computational Neuroscientist
Assistant Professor, Stony Brook University, NY
alleninstitute.submittable.com/submit/33511...
alleninstitute.submittable.com/submit/33511...
In this work I developed a scaling theory for spiking neural populations using a renormalization group approach -- the 1st, to my knowledge, applied to models of spiking neurons. See the thread for a brief summary.
In this work I developed a scaling theory for spiking neural populations using a renormalization group approach -- the 1st, to my knowledge, applied to models of spiking neurons. See the thread for a brief summary.
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apply.interfolio.com/170252 (arts & sciences)
apply.interfolio.com/170698 (school of medicine)
Please spread the word!
apply.interfolio.com/170252 (arts & sciences)
apply.interfolio.com/170698 (school of medicine)
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www.federalregister.gov/documents/20...
Sound reasonable to you?
Fed register is accepting comments for next month. Details at the link & comment button
www.federalregister.gov/documents/20...
We showed that a stochastic spiking network with rectified power-law response functions has 2 active states & when stochasticity enhances vs suppresses activity
We showed that a stochastic spiking network with rectified power-law response functions has 2 active states & when stochasticity enhances vs suppresses activity
Key results:
in vitro = directed percolation
in vivo = Ising model
Inhibition can tune from mean-field to anomalous scaling
1/n
Key results:
in vitro = directed percolation
in vivo = Ising model
Inhibition can tune from mean-field to anomalous scaling
1/n