Draft:Dipanjan Roy
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Dipanjan Roy is a computational neuroscientist, physicist, and academic. He is a professor at the Indian Institute of Technology Jodhpur. His research focuses on computational and cognitive neuroscience, large-scale brain dynamics, and the application of data science and artificial intelligence to understanding brain function. He is a fellow of the National Academy of Sciences, India.
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Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. HRShami (talk) 06:16, 6 April 2026 (UTC)
University of Texas
Centre national de la recherche scientifique (CNRS) Institute of Systems Neuroscience
National Brain Research Centre (NBRC)
Dipanjan Roy | |
|---|---|
| Occupations | Computational neuroscientist, physicist, and academic |
| Academic background | |
| Education | B.Sc. M.S. Ph.D. |
| Alma mater | University of Pune University of Texas Centre national de la recherche scientifique (CNRS) Institute of Systems Neuroscience |
| Academic work | |
| Institutions | Indian Institute of Technology, Jodhpur National Brain Research Centre (NBRC) |
| Website | www |
Education
Roy earned his B.Sc. from the University of Pune in 1999, followed by an M.S. in Physics from the University of Texas in 2006. He completed his Ph.D. at the Centre national de la recherche scientifique (CNRS) Institute of Systems Neuroscience in Marseille in 2011,[1][2] supervised by Viktor K. Jirsa.[3]
Career
Roy began his academic career as an assistant professor at the International Institute of Information Technology, Hyderabad[2] from 2015 to 2016.[3] He subsequently joined the Centre of Behavioural and Cognitive Sciences (CBCS), University of Allahabad as an assistant professor from 2016 to 2017.[4] In 2017, he was appointed associate professor at the National Brain Research Centre, where he worked until 2021. He then joined the Indian Institute of Technology Jodhpur as an associate professor, working from 2021 to 2025, and has been a professor there since 2026.[2]
Research
Roy's work centres on cognitive neurodynamics and large-scale brain networks, combining neuroimaging with computational modelling.[5][6]
He has investigated functional connectivity; how brain dynamics relate to cognition and how network activity changes over time.[7] Alongside this, he has examined how the brain's structural properties shape emergent functional dynamics,[8] looking at differences across age groups, cortical rhythms,[9] and connectivity patterns in neurodevelopmental disorders like autism.[10]
Roy has also contributed to understanding brain adaptations to decline, how the brain reorganises its connections to maintain coordinated activity as it ages,[11] including compensatory mechanisms.[12]
Awards and honors
Selected articles
- Sigala, Rodrigo; Haufe, Sebastian; Roy, Dipanjan; Dinse, Hubert R.; Ritter, Petra (2014). "The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models". Frontiers in Computational Neuroscience. 8: 36. doi:10.3389/fncom.2014.00036. PMC 3983484. PMID 24772077.
- Naik, Shruti; Banerjee, Arpan; Bapi, Raju S.; Deco, Gustavo; Roy, Dipanjan (2017). "Metastability in Senescence". Trends in Cognitive Sciences. 21 (7): 509–521. doi:10.1016/j.tics.2017.04.007. PMID 28499740.
- Lanke, Vinay; Moolamalla, S. T. R.; Roy, Dipanjan; Vinod, P. K. (2018). "Integrative Analysis of Hippocampus Gene Expression Profiles Identifies Network Alterations in Aging and Alzheimer's Disease". Frontiers in Aging Neuroscience. 10 153. doi:10.3389/fnagi.2018.00153. PMC 5974201. PMID 29875655.
- Surampudi, Sriniwas Govinda; Misra, Joyneel; Deco, Gustavo; Bapi, Raju Surampudi; Sharma, Avinash; Roy, Dipanjan (2019). "Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model". NeuroImage. 184: 609–620. doi:10.1016/j.neuroimage.2018.09.054. PMID 30267857.
- Harlalka, Vatika; Bapi, Raju S.; Vinod, P. K.; Roy, Dipanjan (2019). "Atypical Flexibility in Dynamic Functional Connectivity Quantifies the Severity in Autism Spectrum Disorder". Frontiers in Human Neuroscience. 13 6. doi:10.3389/fnhum.2019.00006. PMC 6367662. PMID 30774589.
- Thuwal, Kusum; Banerjee, Arpan; Roy, Dipanjan (2021). "Aperiodic and Periodic Components of Ongoing Oscillatory Brain Dynamics Link Distinct Functional Aspects of Cognition across Adult Lifespan". eNeuro. 8 (5): ENEURO.0224–21.2021. doi:10.1523/ENEURO.0224-21.2021.
- Pathak, Anagh; Sharma, Vivek; Roy, Dipanjan; Banerjee, Arpan (2022). "Biophysical mechanism underlying compensatory preservation of neural synchrony over the adult lifespan". Communications Biology. 5 (1): 567. doi:10.1038/s42003-022-03489-4. PMC 9184644. PMID 35681107.
- Sigar, Priyanka; Uddin, Lucina Q.; Roy, Dipanjan (2023). "Altered global modular organization of intrinsic functional connectivity in autism arises from atypical node-level processing". Autism Research: Official Journal of the International Society for Autism Research. 16 (1): 66–83. doi:10.1002/aur.2840. PMID 36333956.
- Majumdar, Gargi; Yazin, Fahd; Banerjee, Arpan; Roy, Dipanjan (2023). "Emotion dynamics as hierarchical Bayesian inference in time". Cerebral Cortex. 33 (7): 3750–3772. doi:10.1093/cercor/bhac305. PMID 36030379.