dipanjan roy

2017- Systems and Cognitive Neuroscience National Brain Research Centre, India, Gurugram, Haryana, India 
Cognitive, Systems and Computational Neuroscience
"dipanjan roy"

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)
Cross-listing: Computational Biology Tree

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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
Thuwal K, Banerjee A, Roy D. (2021) Aperiodic and periodic components of ongoing oscillatory brain dynamics link distinct functional aspects of cognition across adult lifespan. Eneuro
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