Anuththara Rupasinghe, Behtash Babadi
Proposes an algorithm to directly estimate neuronal correlations from ensemble two-photon imaging data, by integrating techniques from point process modeling and variational Bayesian inference, with no recourse to intermediate spike deconvolution.
2020 54th Annual Conference on Information Sciences and Systems
Neuro-current response functions: A unified approach to MEG source analysis under the continuous stimuli paradigm
Proloy Das, Christian Brodbeck, Jonathan Z. Simon, Behtash Babadi
A principled modeling and estimation paradigm for MEG source analysis tailored to extracting the cortical origin of electrophysiological responses to continuous stimuli.
Granger Causal Inference from Indirect Low-Dimensional Measurements with Application to MEG Functional Connectivity Analysis
Behrad Soleimani, Proloy Das, Joshua Kulasingham, Jonathan Z. Simon, Behtash Babadi
The authors consider the problem of determining Granger causal influences among sources that are indirectly observed through low-dimensional and noisy linear projections. They model the source dynamics as sparse vector autoregressive processes and estimate the model parameters directly from the observations, with no recourse to intermediate source localization.
54th Conference on Information Sciences and Systems