hss-seminar-03
Department of Humanities and Social Sciences |
HSS Seminar Regularized regression models for detecting neuronal interactions by |
Satish Iyengar Department and Center for the Neural Basis of Cognition, University of Pittsburgh, USA |
Friday, May 24, 2013 at 11 AMVenue : Lecture Hall 3 |
AbstractInteractions among neurons are a key component of neural signal processing. Rich neural data sets potentially containing evidence of interactions are now collected readily in the laboratory. Generalized linear models are a platform for analyz ingmulti-electrode recordings of neuronal spike train data. We suggest an L1-regulariz edlogistic regression model (L1L method) to detect short-term (order of 3 ms) neuronal interactions. We describe the computational aspects of this model, the results of simulation studies that indicate improvements over traditional cross-correlation methods, and application of our method to monkey dorsal premotor cortex. |
|