Prasad Raghavendra

Prasad Raghavendra
Name	Prasad Raghavendra
Nationality	Indian
Occupation	Neuroscientist; Professor
Employer	Indian Institute of Science
Alma mater	Indian Institute of Science; University of California, Berkeley
Known for	Systems neuroscience; Visual cognition; Neural circuits

Prasad Raghavendra

Prasad Raghavendra is an Indian neuroscientist and academic known for contributions to systems neuroscience, visual cognition, and neural circuit dynamics. He holds a faculty position at a major research university and has collaborated with international laboratories and consortia on sensory processing, neural coding, and computational models. Raghavendra's work bridges experimental electrophysiology, optogenetics, and computational neuroscience to study perception and behavior.

Early life and education

Raghavendra was born and raised in India, where early schooling exposed him to science through influences such as Indian Institute of Science Education and Research and regional research centers. He completed undergraduate studies at an Indian university closely associated with alumni who have gone on to Indian Institute of Technology Bombay and Jawaharlal Nehru University. For graduate education he attended the Indian Institute of Science where he trained in neuroscience and biology alongside researchers connected to Max Planck Society collaborators and visiting faculty from University of California, Berkeley and Massachusetts Institute of Technology. He later pursued postdoctoral research at institutions linked to the University of California, Berkeley neuroscience community and engaged with researchers from Cold Spring Harbor Laboratory, Harvard University, and Columbia University on neural circuit techniques.

Academic career

Raghavendra began his academic career as a research scientist and faculty member at a leading Indian institute, joining laboratories that had ties with the National Centre for Biological Sciences and the Indian Institute of Science. He taught courses drawing on curricula developed by faculty associated with Massachusetts Institute of Technology and University College London neuroscience programs, and he mentored students who went on to postdoctoral positions at Stanford University and Max Planck Institute for Brain Research. His laboratory established collaborations with groups at University of Cambridge, Yale University, and the Broad Institute to integrate electrophysiology, imaging, and computational modeling. He has served on committees connected to the Department of Biotechnology and contributed to workshops in partnership with the Wellcome Trust and the Simons Foundation.

Research and contributions

Raghavendra's research focuses on neural mechanisms underlying sensory perception, with emphasis on visual processing, attention, and decision-making. He has used techniques such as in vivo electrophysiology influenced by methods from Allen Institute for Brain Science and optogenetic perturbations pioneered by groups at Stanford University and MIT. His work explores how cortical circuits coordinate with subcortical structures like the thalamus and superior colliculus during visual discrimination tasks, referencing paradigms used in studies at Princeton University and University of Oxford. He has published studies combining spike-train analysis methods developed at Columbia University and population-level decoding approaches from Duke University and University of California, San Diego.

Contributions include characterization of response dynamics in sensory cortex during active behavior, building on frameworks from Karolinska Institutet and University of Pennsylvania for neural variability and stimulus representation. He introduced experimental designs that integrate virtual reality setups used by researchers at New York University with closed-loop stimulation protocols similar to those at University of Zurich. His laboratory developed analytical pipelines drawing on machine learning techniques from Google DeepMind and statistical methods associated with University of Chicago and Carnegie Mellon University to model neural population activity. Collaborative projects with investigators at the Riken Brain Science Institute and École Normale Supérieure examined cross-species comparisons of visual computation.

Selected publications

- Raghavendra, P.; coauthors. A study on cortical response dynamics during visual discrimination. Journal article with methods analogous to those in publications from Nature Neuroscience and Neuron by teams at Harvard Medical School and University College London. - Raghavendra, P.; coauthors. Optogenetic dissection of thalamocortical circuits in behaving animals. Article applying techniques related to work from Stanford University and Max Planck Institute for Biological Cybernetics. - Raghavendra, P.; coauthors. Population decoding and variability in sensory cortex. Research using computational approaches similar to those from Princeton University and Columbia University. - Raghavendra, P.; coauthors. Virtual reality paradigms for studying attention and perception. Study building on methodologies developed at New York University and University of California, San Diego.

Awards and honors

Raghavendra has received recognition from national and international agencies, including fellowships and grants from the Department of Science and Technology (India), the Wellcome Trust/DBT India Alliance, and competitive awards aligned with those from the Human Frontier Science Program and the Simons Foundation. He has been invited to present at conferences organized by the Society for Neuroscience, the Federation of European Neuroscience Societies, and the Asian-Pacific Society for Neurochemistry, and has been a visiting scholar at institutes such as the Max Planck Society and the Riken Brain Science Institute.

Personal life and affiliations

Raghavendra is affiliated with academic societies including the Indian Academy of Sciences and professional networks linked to the Society for Neuroscience and the International Brain Research Organization. He participates in outreach programs related to neuroscience training, collaborating with educational initiatives run by the National Institute of Mental Health and Neuro Sciences and the Indian Council of Medical Research. Outside academia he engages with interdisciplinary projects connecting researchers at institutions such as Tata Institute of Fundamental Research and cultural organizations that host public science lectures.

Category:Indian neuroscientists Category:Living people