Work

A regularized point process generalized linear model for assessing the functional connectivity in the cat motor cortex

Year: 2009

Type: conference-paper

Abstract: Identification of multiple simultaneously recorded neural spike train recordings is an important task in understanding neuronal dependency, functional connectivity, and temporal causality in neural systems. An assessment of the functional connectivity in a group of ensemble cells was performed using a regularized point process generalized linear model (GLM) that incorporates temporal smoothness or contiguity of the solution. An efficient convex optimization algorithm was then developed for the regularized solution. The point process model was applied to an ensemble of neurons recorded from the cat motor cortex during a skilled reaching task. The implications of this analysis to the coding of skilled movement in primary motor cortex is discussed.

DOI: 10.1109/iembs.2009.5334610

Authors: Zhe Chen, D.F. Putrino, D.E. Ba, S. Ghosh, R. Barbieri, E.N. Brown

Institutions: Harvard University, Massachusetts General Hospital, The University of Western Australia

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute on Drug Abuse

Awards: Point Process Models of Human Heart Beat Interval Dynamics, A Systems Neuroscience Approach for the Study of General Anesthesia, Dynamic Signal Processing Analyses of Neural Plasticity

OpenAlex ID: W2164021297

FWCI: 3.097

Cites: 17

Cited by: 8

Related to: 10