Software, data and lab resources

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

  1. 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.

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, 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)

All figures and data from the paper

https://drive.google.com/drive/folders/1ZC6IeCGp1NaDlh6QLDtivEEK6PB2UHXy

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