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 and acetylcholine 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.
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