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In contrast to other fields in biology, mathematical thinking and methodology have become entrenched in neuroscience since its very beginning, as witnessed by the classical work of Hodgkin and Huxley. Indeed, important developments in mathematics, and particularly in statistics (for example, point processes theory), have their roots in this field.

Computational neuroscience research seeks to comprehend how the brain learns and computes to achieve intelligent behavior in addition to interpreting neurological conditions. It is an interdisciplinary endeavor at the intersection of computer science, neuroscience, cognitive psychology, physics, engineering, mathematics, and statistics.

At Amrita, the research involves understanding how neural cells and circuits of cerebellum and interconnected thalamo-cortical circuits function towards movement articulation and other sensory-tactile processes.

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To study circuit functions, we build detailed computational models of neurons using data from neurophysiology experiments such as patch clamp, voltage and current clamps, multi-electrode arrays and local field potentials to reconstruct how certain neural circuits function and process information.

The goal is to understand how the brain implements the computations that underlie innate behaviors and how such behaviors change during disorders and diseases such as epilepsy, Alzheimer’s, autism etc. The lab also has been working on supercomputing with CPUs and GPGPUs cores to parallelize intense computations that usually takes few days to few weeks to simulate few hundreds of seconds of brain function. The focus of the lab is to build computation models, experimental analysis of neurophysiological function and dysfunction, simulate on hardware such as FPGAs and on software via MPI, CUDA. Recently, the  lab has started studying neuroscience of Yoga and Meditation on practitioners and nonpractitioners.

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