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Kamal Sen is an Associate Professor in the Department of Biomedical Engineering at Boston University. His research primarily focuses on auditory processing, with a particular interest in neural coding within the auditory system. His laboratory employs an integrative approach to investigate how natural sounds are processed by the auditory cortex, utilizing electrophysiological techniques to record responses at various hierarchical stages of auditory processing. Dr. Sen's work combines theoretical methods from statistical signal processing, probability theory, and information theory to analyze how neural circuits encode auditory information. His computational models have been instrumental in understanding cortical processing of natural sounds and the factors influencing discrimination among different auditory signals. Over the last decade, he has concentrated on the cortical substrates responsible for solving the Cocktail Party Problem, a significant challenge in auditory perception. His research is supported by multiple grants from prestigious sources and aims to enhance the understanding of complex auditory scenes.
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