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Behtash Babadi

3 accepted papers

2024

Reinforcement Learning-Guided Optogenetic Stimulation Policies for Robust Functional Network Discovery

ICASSP 2024accepted

Optogenetic stimulation has opened up a new avenue to probe neuronal circuitry at high spatiotemporal resolutions. A key challenge in optogenetic stimulation is deciding which subset out of thousands of neurons should be stimulated to elicit a desired network activation or affect behavior. In this w…

Cited by 0SourceScholar
2021

Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit

NeurIPS 2021poster

Coordinated ensemble spiking activity is widely observable in neural recordings and central in the study of population codes, with hypothesized roles including robust stimulus representation, interareal communication of neural information, and learning and memory formation. Model-free measures of sy…

Cited by 4SourcePDFScholar
2017

Sparse spectral estimation from point process observations

ICASSP 2017accepted

We consider the problem of estimating the power spectral density of the neural covariates underlying the spiking of a neuronal population. We assume the spiking of the neuronal ensemble to be described by Bernoulli statistics. Furthermore, we consider the conditional intensity function to be the log…

Cited by 0SourceScholar