Part 1: Modeling Basal Ganglia.- Introduction.- Basal Ganglia
neurobiology.- Functions of Basal Ganglia.- Computational
approaches to Basal Ganglia.- Principles of Reinforcement
Learning.- The Basal ganglia as an Exploration Engine.- Spiking
neuron and biophysical network models of BG with GEN dynamics.-
Part 2: Modeling the Functions of Basal Ganglia.- A model of the
role of basal ganglia in reaching movements.- A model
of the role of basal ganglia in precision grip performance.-
A model of the role of basal ganglia in spatial navigation.- A
model of the role of basal ganglia in saccade generation.- A
model of the role of basal ganglia in gait control.- A model of the
role of basal ganglia in working memory.- A model of the role of
basal ganglia in action selection.- Part 3: Modeling the action of
Neuromodulators in Basal Ganglia.- A model of interaction between
dopamine and serotonin in risk-based decision making.- Modeling the
joint roles of dopamine andacetylcholine in the striatum.- Modeling
the role of norepinephrine in exploratory behaviour.- Part 4:
Applications.- Modeling the effects of Deep Brain Stimulation
Parkinsonian motor and cognitive symptoms.- Modeling the effects of
L-Dopa and dopamine agonists on Parkinsonian motor symptoms.-
Modeling the role of the basal ganglia in schizophrenia.- Modeling
the role of the basal ganglia in addiction.
V Srinivasa Chakravarthy obtained his PhD degree from the
University of Texas at Austin and received postdoctoral training
from Baylor College of Medicine, Houston. He is currently a
professor in the Department of Biotechnology, at Indian Institute
of Technology Madras, India. His research interests are in the
areas of computational neuroscience, computational cardiology and
machine learning. In computational neuroscience, his interests in
modeling of basal ganglia to understand Parkinson’s Disease,
modeling neuron-astrocyte-vascular networks and modeling spatial
cells of hippocampus. He has written an e-book titled
“Demystifying the Brain” which presents the contemporary
computational perspective of the brain to the lay reader using a
minimum of equations.
Dr. Ahmed Moustafa is a Senior Lecturer in Cognitive and
Behavioural Neuroscience at Marcs Institute for Brain, Behaviour,
and Development & School of Social Sciences and Psychology, Western
Sydney University. Ahmed Moustafa is trained in computer science,
psychology, neuroscience, and cognitive science. His early training
took place at Cairo University in mathematics and computer science.
Before joining Western Sydney University as a lab director, Ahmed
spent 11 years in America studying psychology and neuroscience.
Ahmed conducts research on computational and neuropsychological
studies of addiction, schizophrenia, Parkinson’s disease, PTSD, and
depression. He has published over 130 papers in high-ranking
journals including Science, PNAS, Journal of Neuroscience, Brain,
Neuroscience and Biobehavioral Reviews, Nature (Parkinson’s
disease), Neuron, among others. His recent book,
Computational models of brain and behavior, provides a
comprehensive overview of recent advances in the field of
computational neuroscience.
![]() |
Ask a Question About this Product More... |
![]() |