Kanaka Rajan | |
|---|---|
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| Born | India |
| Nationality | American |
| Alma mater | Anna University Brandeis University Columbia University Icahn School of Medicine at Mount Sinai |
| Known for | Recurrent Neural Network (RNN) models of the brain |
| Scientific career | |
| Fields | Computational and Theoretical Neuroscience |
| Institutions | Harvard University |
Kanaka Rajan is a computational neuroscientist in the Department of Neurobiology at Harvard Medical School and founding faculty in the Kempner Institute for the Study of Natural and Artificial Intelligence[1] at Harvard University.[2] 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.
- ^ chadcampbell (2022-09-23). "Science, Tech and AI Leaders Convene to Launch Kempner Institute". Chan Zuckerberg Initiative. Retrieved 2023-09-15.
- ^ Institute, Kempner; Lang, Deborah (2023-09-05). "Computational neuroscientist Kanaka Rajan, leader in using AI and machine learning to study the brain, to join Harvard Medical School faculty and serve as a founding faculty member at the Kempner Institute". Kempner Institute. Retrieved 2023-09-15.