Brain Dynamics, Connectivity and Cognition lab codes are publicly shared and are all available from the following GitHub link
Sastry, Nisha Chetana, Dipanjan Roy, and Arpan Banerjee. “Stability of sensorimotor network sculpts the dynamic repertoire of resting state over lifespan.” Cerebral Cortex (2022).
The codes for all the analysis carried out in this paper are available on https://bitbucket.org/cbdl/workspace/projects/DFC
Aperiodic and periodic components of ongoing oscillatory brain dynamics link distinct functional aspects of working memory processing through adult lifespan
Contextual Prediction Errors Reorganizes Naturalistic Episodic Memories in Time
Date created: 2020-12-23 05:33 PM | Last Updated: 2021-05-02 08:14 AM
Fahd Yazin, Moumita Das, Arpan Banerjee, Dipanjan Roy Contextual Prediction Errors Reorganize Episodic Memories in Time doi: https://doi.org/10.1101/2020.08.24.265132
All the relevant codes and datasets used in this project are freely available from
Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain
This is the code base for the article at (www.nature.com/articles/s41598-018-21456-0).
- Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain Govinda Surampudi, Shruti Naik, Bapi Raju Surampudi, Viktor K.Jirsa, Avinash Sharma, and Dipanjan Roy Scientific reports 8.1 (2018): 3265.
Temporal Multiple Kernel Learning Model
Resting State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model
Resting State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model Govinda Surampudi, Joyneel Mishra, Bapi Raju Surampudi, Gustavo Deco, Avinash Sharma, and Dipanjan Roy Neuroimage Volume 184, 1 January 2019, Pages 609-620 https://doi.org/10.1016/j.neuroimage.2018.09.054.
Atypical flexibility in dynamic functional connectivity in Autism
“Atypical flexibility in dynamic functional connectivity quantifies the severity in autism spectrum disorder” Harlalka, V., Bapi, R. S., Vinod, P. K., & Roy, D. Front. Hum. Neurosci. ; doi: 10.3389/fnhum.2019.00006 (2019)