About: Kanaka Rajan

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Kanaka Rajan is a neuroscientist and Associate Professor in the Department of Neuroscience and Friedman Brain Institute at the Icahn School of Medicine at Mount Sinai in New York City. Rajan trained in engineering, biophysics, and neuroscience, and has pioneered novel methods and models to understand how the brain processes sensory information. Her research seeks to understand how important cognitive functions — such as learning, remembering, and deciding — emerge from the cooperative activity of multi-scale neural processes, and how those processes are affected by various neuropsychiatric disease states. The resulting integrative theories about the brain bridge neurobiology and artificial intelligence.

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  • Kanaka Rajan is a neuroscientist and Associate Professor in the Department of Neuroscience and Friedman Brain Institute at the Icahn School of Medicine at Mount Sinai in New York City. Rajan trained in engineering, biophysics, and neuroscience, and has pioneered novel methods and models to understand how the brain processes sensory information. Her research seeks to understand how important cognitive functions — such as learning, remembering, and deciding — emerge from the cooperative activity of multi-scale neural processes, and how those processes are affected by various neuropsychiatric disease states. The resulting integrative theories about the brain bridge neurobiology and artificial intelligence. (en)
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  • 2021 (xsd:integer)
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  • India (en)
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  • Computational and Theoretical Neuroscience (en)
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  • Recurrent Neural Network models of the brain (en)
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  • Kanaka Rajan (en)
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  • American (en)
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  • Kanaka Rajan is a neuroscientist and Associate Professor in the Department of Neuroscience and Friedman Brain Institute at the Icahn School of Medicine at Mount Sinai in New York City. Rajan trained in engineering, biophysics, and neuroscience, and has pioneered novel methods and models to understand how the brain processes sensory information. Her research seeks to understand how important cognitive functions — such as learning, remembering, and deciding — emerge from the cooperative activity of multi-scale neural processes, and how those processes are affected by various neuropsychiatric disease states. The resulting integrative theories about the brain bridge neurobiology and artificial intelligence. (en)
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  • Kanaka Rajan (en)
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  • Kanaka Rajan (en)
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