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Neural and circuit biophysics: Computational Neuroscience of Cerebellum and Inter-connected circuits
Computational neuroscience research at the center mainly focusses on the neuronal dynamics and behaviours of brain’s circuits such as cerebellum, basal ganglia, thalamus and motor cortex. The mathematical reconstruction of neurons and circuits in the motor related circuits, expands the knowledge of the function of neuronal circuits in terms of information flow and spatial excitation-inhibition with biologically plausible computer simulations, mathematical models, and neuron-based theories. As digital twins to clinicians and experimentalists, the reconstruction of such physiologically appropriate neural circuit models is expected to aid in the of processes underlying brain and nervous system function as well as the treatment of damaged brain and nervous systems.
Modeling behavior and neural systems
A computational cognitive model investigates the essence of cognition and diverse cognitive functions by describing related computation models and generating extensive, process-based knowledge. Center has been working to develop cerebellum -inspired neuronal and circuit modeling for the analysis of neuronal dynamics in normal and diseased conditions. Expert systems, natural language processing, neural networks, robotics, and virtual reality applications are just a few of the AI applications that involve cognitive modeling.