Kamal Sen

Dr. Sen‘s laboratory investigates these questions with a focus on auditory cortex. Electrophysiological techniques are used to record neural responses from hierarchical stages of auditory processing. Theoretical methods from areas such as statistical signal processing, systems theory, probability theory, information theory and pattern recognition are applied to characterize how neurons in the brain encode natural sounds. Computational models are constructed to understand the processing of natural sounds both at the single neuron and the network level, to model neural selectivity and discrimination, and to explore the role of learning in shaping the neural code.

Areas of interest: Neural coding of natural sounds, hierarchical auditory processing, neural discrimination, population coding of natural sounds, learning in single neurons and auditory network

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