Research Summary

The brain comprises of billions of neurons that are interconnected by synapses to communicate information. A single neuron is a powerful nonlinear computing device that receives a wide range of electrical and chemical inputs, process and integrate them locally and produce an output. A major challenge is to understand how synaptic biomolecules organize into dynamic computational cassettes that converse together to create complexity and adapt the flow of local “information” to specific inter-neuronal activities. The higher order functionalities of the brain are an emergent property of such dynamics.

We study the flow of information, from a single protein level to the neuron level, to try to understand the molecular nature of information processing in the brain. Such knowledge is fundamental for understanding normal brain functions and neurological disorders. We are doing so by using highly interdisciplinary analyses along with cutting edge single molecule and high throughput approaches that draw from physics, chemistry, cell biology and engineering.
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