Software, data and lab resources
Brain Dynamics, Connectivity and Cognition lab codes are publicly shared and are all available from the following GitHub link
https://github.com/dynamicdip/
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
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Aperiodic and periodic components of ongoing oscillatory brain dynamics link distinct functional aspects of working memory processing through adult lifespan
Thuwal, Kusum, Arpan Banerjee, and Dipanjan Roy. “Aperiodic and periodic components of ongoing oscillatory brain dynamics link distinct functional aspects of cognition across adult lifespan.”Eneuro 8, no. 5 (2021).
All the relevant codes are available from
https://osf.io/tmkv3/
Contextual Prediction Errors Reorganizes Naturalistic Episodic Memories in Time
Yazin, Fahd, Moumita Das, Arpan Banerjee, and Dipanjan Roy. “Contextual prediction errors reorganize naturalistic episodic memories in time.”Scientific reports 11, no. 1 (2021): 1-17.
| **Date created: 2020-12-23 05:33 PM | Last Updated: 2021-05-02 08:14 AM** Category: Project 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 https://osf.io/j74fz/ |
MKL
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). https://github.com/govindasurampudi/MKL
- 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, andDipanjan Roy ** _Scientific reports** 8.1 (2018): 3265._
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Plotting ROI
https://github.com/SriniwasGovindaSurampudi/plotting-ROI
Temporal Multiple Kernel Learning Model
Resting State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model
https://github.com/SriniwasGovindaSurampudi/tMKL
Resting State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model Govinda Surampudi, Joyneel Mishra, Bapi Raju Surampudi, Gustavo Deco, Avinash Sharma, andDipanjan 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)