Dipanjan’s Bio

Alternate Lab website

https://cbdlnbrc.weebly.com/

Professional experience

Associate Professor, School of Artificial Intelligence & Data Science, Indian Institute of Technology, Jodhpur, India (2021 October-Present)

Associate Professor and DBT Ramalingaswami fellow, National Brain Research Centre (NBRC), Manesar, India (2017 July – 2021 October)

Assistant Professor and DBT Ramalingaswami fellow Centre of Behavioural and Cognitive Sciences, University of Allahabad, India (2016 June-2017 June)

Assistant Professor IIIT Hyderabad, India (2015 January-2016 May)

Research Associate Charite Hospital Berlin, BCCN and MPI Leipzig Neurology Department Brain Modes Group (2013 July -2014 Dec)

Postdoctoral Research Associate TU Berlin Neuroinformatics (2011-2013) Klaus Obermayer Postdoctoral Research Scientist MIT Picower Center for learning and memory, McGovern Centre for Brain and Cognitive Science Mriganka Sur Lab (2011-2013)

Educational Background

Ph.D. CNRS Institute of Systems Neuroscience France Theoretical Neuroscience Group (TNG and Epilepsy Unit) Director of Institute: Prof. Viktor Jirsa

MS in Applied Physics (Nonlinear dynamics and biomedical signal processing) University of Texas (USA)

 Selected Recent Publications

  1. Thuwal, Kusum, Arpan Banerjee, and Dipanjan Roy† MEG Oscillatory and Aperiodic neural dynamics contribute to different cognitive aspects of short-term memory decline through the lifespan. accepted in eNeuro (2021).
  2. Organization of directed functional connectivity among nodes of ventral attention network reveals the common network mechanisms underlying saliency processing across distinct spatial and spatio-temporal scales. Ghosh, P., Roy, D., & Banerjee, A. (2021) NeuroImage, 231, 117869. doi: https://doi.org/10.1101/2019.12.25.888446
  3. Roy, Dipanjan, and Lucina Q. Uddin. “Atypical core-periphery brain dynamics in autism.” Network Neuroscience 5, no. 2 (2021): 295-321.
  4. Das, Moumita, Vanshika Singh, Lucina Q. Uddin, Arpan Banerjee, and Dipanjan Roy. “Reconfiguration of Directed Functional Connectivity Among Neurocognitive Networks with Aging: Considering the Role of Thalamo-Cortical Interactions.” Cerebral Cortex 31, no. 4 (2021): 1970-1986.
  5. Sahoo, B., Pathak, A., Deco, G., Banerjee, A., & Roy, D. (2020)  Lifespan associated global patterns of coherent neural communications NeuroImage, 116824.
  6. Kumar, G. V., Dutta, S., Talwar, S., Roy, D.*, & Banerjee, A.* (2020) (*co-corresponding authors) Biophysical mechanisms governing large‐scale brain network dynamics underlying individual‐specific variability of perception. Eur J. Neuroscience 2020 Apr 17. doi: 10.1111/ejn.14747
  7. Ray, D., Hajare, N., Roy, D., & Banerjee, A. (2020). Large-scale functional integration, rather than functional dissociation along dorsal and ventral streams, underlies visual perception and action. Journal of Cognitive Neuroscience, 1-15.
  8. Surampudi, S. G., Misra, J., Deco, G., Bapi, R. S., Sharma, A., & Roy, D. (2019). Resting-state dynamics meets anatomical structure: temporal multiple kernel learning (tMKL) model.NeuroImage, 184, 609-620.
  9. Harlalka, V., Bapi, R. S., Vinod, P. K., & Roy, D. (2019). Atypical flexibility in dynamic functional connectivity quantifies the severity in autism spectrum disorder. Frontiers in human neuroscience, 13, 6.