dipanjan roy
Affiliations: | 2017- | Systems and Cognitive Neuroscience | National Brain Research Centre, India, Gurugram, Haryana, India |
Area:
Cognitive, Systems and Computational NeuroscienceWebsite:
https://dipanjanr.com/Google:
"dipanjan roy"Bio:
Dipanjan Roy currently leads a Cognitive and Systems brain dynamics and connectivity group focusing on research areas related to Neuroimaging, Brain Connectivity, Multiscale computational modeling, EEG, MEG, fMRI, and behavior. The specific areas in which the group contributes to computational modeling, experiments and stimulus design pertained to questions related learning, Perceptual and sensory processing (visual and auditory), Working and episodic memory, Aging, and Multisensory processing. His group is also involved in the structural and functional connectomics based approach to determine aging effects on cognition, neurodegenerative disorders. In particular, the group is looking at the relationship between structural perturbations, lesions in patients and investigating mechanisms of the reorganization of functional connectivity using Computational Modeling and noninvasive probes. He has made several key contributions to understanding the computational role of time delay, time-scale separation, structure-function relationship and plasticity that unfolds in a dynamical landscape in the brain. His research combines developing methods to analyze EEG, fMRI recordings at rest and task conditions along with whole brain computational modeling. Research methods also cover the acquisition of behavioral response under naturalistic, psychophysical stimuli from participants and investigating neural correlates of behavior.
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Mean distance: 16.23 (cluster 29) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentorViktor K. Jirsa | grad student | 2008-2011 | CNRS & Institut des Sciences du Mouvement |
Klaus Obermayer | post-doc | 2011-2013 | Berlin Technical University |
Petra Ritter | post-doc | 2013-2014 | Charité and BCCN |
Children
Sign in to add traineeAbhishek Singh Narvaria | grad student | 2018- | National Brain Research Centre (NBRC) |
Azman Akhter | grad student | 2019- | National Brain Research Centre (NBRC) |
Vinsea Singh | grad student | 2020- | National Brain Research Centre (NBRC) |
ankit yadav | grad student | 2020- | National Brain Research Center, India |
AMIT K. JAISWAL | grad student | 2015-2015 | |
Indrajith R Nair | grad student | 2012-2022 |
Collaborators
Sign in to add collaboratorMriganka Sur | collaborator | 2011- | Brain and Cognitive Science, MIT |
Gustavo Deco | collaborator | 2013- | ICREA and University Pompeu Fabra, Barcelona, Spain |
Publications
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Bhavna K, Akhter A, Banerjee R, et al. (2024) Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage. Frontiers in Neuroinformatics. 18: 1392661 |
Gupta DS, Banerjee A, Piras F, et al. (2023) Editorial: Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain, volume II. Frontiers in Computational Neuroscience. 17: 1291744 |
Chakraborty P, Saha S, Deco G, et al. (2023) Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism. Cerebral Cortex Communications. 4: tgad012 |
Kumar N, Jaiswal A, Roy D, et al. (2023) Effective networks mediate right hemispheric dominance of human 40 Hz auditory steady-state response. Neuropsychologia. 184: 108559 |
Majumdar G, Yazin F, Banerjee A, et al. (2022) Emotion dynamics as hierarchical Bayesian inference in time. Cerebral Cortex (New York, N.Y. : 1991) |
Pathak A, Roy D, Banerjee A. (2022) Whole-Brain Network Models: From Physics to Bedside. Frontiers in Computational Neuroscience. 16: 866517 |
Pathak A, Sharma V, Roy D, et al. (2022) Biophysical mechanism underlying compensatory preservation of neural synchrony over the adult lifespan. Communications Biology. 5: 567 |
Nair IR, Bhasin G, Roy D. (2022) Hippocampus Maintains a Coherent Map Under Reward Feature-Landmark Cue Conflict. Frontiers in Neural Circuits. 16: 878046 |
Sastry NC, Roy D, Banerjee A. (2022) Stability of sensorimotor network sculpts the dynamic repertoire of resting state over lifespan. Cerebral Cortex (New York, N.Y. : 1991) |
Naskar A, Vattikonda A, Deco G, et al. (2021) Multiscale dynamic mean field (MDMF) model relates resting-state brain dynamics with local cortical excitatory-inhibitory neurotransmitter homeostasis. Network Neuroscience (Cambridge, Mass.). 5: 757-782 |