Biophysically Realistic Cortical Network Models for Simulation of Cortical and Intracortical Electrical Stimulations
Jump to:
Bio
“Biophysically Realistic Cortical Network Models for Simulation of Cortical and Intracortical Electrical Stimulations”
Dr. Kudela is an expert in neural signal data modeling and analysis. His research is focused on computational modeling of cortical dynamics (cortical electrical stimulation, cortical auditory processing, and seizure) to rationalize experimental observations from novel microelectrode recordings in invasively monitored epilepsy patients. He is a computational neuroscientist, and skilled in many domains ranging from computer science and scientific programming to parallel computing and high-performance computing. He collaborates with several Johns Hopkins investigators working on new medical therapies and devices.
Abstract
“Biophysically Realistic Cortical Network Models for Simulation of Cortical and Intracortical Electrical Stimulations”
Modeling electrical stimulation of neural elements can be performed in two steps. The first step involves the calculation of the spatial distributions of the induced electric fields in cortical volume produced by stimulating electrodes. The second step is to model the response of neuronal elements to an electric field using multicompartmental representations of neurons. The response of an individual neuron to electrical stimulation is determined by several factors like neuronal morphology and the cortical geometry that affects electric field distribution in the cortical volume. We use computational models of cortical neurons to investigate the effects of cortical and intracortical electrical stimulations in a cortical volume. Two high-resolution cortical network models will be presented that were developed to study 1) cortical responses to subdural cortical stimulations and 2) neuronal recruitment by intracortical microstimulation for restoring touch sensation.
