SatyaRungta / movementRehab

The project aims to use an interdisciplinary approach to test if neural processes in occulomotor and motor areas could be studies using mathematical models from neck and shoulder muscles during cognitive tasks

Home Page:https://satyarungta.github.io/movementRehab/

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Welcome to the Neurophs documentation!

Author Name: Satya Rungta, Applied mathematics and cognitive neuroscience, IISc, Bengaluru

This Repository contains documentation and thesis on central and peripheral correlates of motor planning for eye and hand movements based on Neurophsiology data

Publications:

  1. Preparatory activity links the frontal eye field response with small amplitude motor unit recruitment of neck muscles during gaze planning. DOI
  2. Context-specific early recruitment of small motor units in the shoulder muscle reflects a reach movement plan
    DOI

Relevant topics and materials:

Figures and graph for time to event analysis for multiple sensors data processing Data: Neuro and Myo electrophysiology

BMI or brain machine interface relies on electrical signals and data captured using multiple sensors. We used time to event analysis for analysing neuronal and motor unit data using raster-based method.

Neural signal processing (NSP), Spike extraction and isolation, Single and multi unit analysis (SUA, MUA)

Some of the datascience methods used for the project are:

  • Time series analysis
  • ROC analysis
  • LATER or Regression based models (Linear Accumulation to Threshold based on Ergodic Rate)
  • Simple Statistics (t-test, ANOVA)

Yet to explore:

  • Time to event based models using survival analysis
  • Causal inferences and Statistics

About

The project aims to use an interdisciplinary approach to test if neural processes in occulomotor and motor areas could be studies using mathematical models from neck and shoulder muscles during cognitive tasks

https://satyarungta.github.io/movementRehab/


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Language:Jupyter Notebook 88.0%Language:Python 12.0%