rahulvenugopal Goto Github PK

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Name: Rahul Venugopal

Type: User

Company: Centre for Consciousness Studies, NIMHANS

Bio: Cracking the brain's code with an engineer's wand

Twitter: rhlvenugopal

Location: Bengaluru

Blog: https://rahulvenugopal.github.io/haveyoumetrahul/

Hey! Hope you are having a good day.

I work at Centre for Consciousness Studies, NIMHANS, India. I am awaiting my PhD thesis evaluation and meanwhile clearing the so called publication load.

As a neuroscientist with over a decade of expertise, I specialised in the domains of cognition, neuromodulation, meditation, and sleep & dreaming. As an engineer I have worked through the conceptualisation and execution of cutting edge brain computer interfaces, cognitive profile development, sleep stability assessments and real time neuro feedback systems. I am particularly interested in the convergence of wearable technology, neuroscience, mental health, productivity, and artificial intelligence. I am actively seeking opportunities to build a tribe dedicated to crafting innovative, personalised and scalable solutions in this space.

Please send an email to me at [email protected] if you want to get in touch.

I live online here. Recently, I happened to release a package in R called Kumbogram

Please email if you want to contribute to the package

Damn, the snake is eating away my contributions in a priority order!

Rahul Venugopal's Projects

all_in_one_plot

Neat viz for one single continuous variable

anova_robustcor_ttest_ci

Exploratory stat viz

aoc2023

Advent of Code 2023 journey

aoc_2021_python

Advent of Code 2021

aperiodic_eeg

Explore FOOOF with band power, complexity and edge of chaos

awesome-ggplot2

A curated list of awesome ggplot2 tutorials, packages etc.

awesome-phd

All the resources I wish I knew when starting my PhD. This repository is aimed to be a living, constantly developing resource where everybody can contribute with new resources!

bamb2023

tutorials for 2023 version

brain-states

This is a toolbox for computing EEG brain states by using wSMI, sliding window and k-means clustering

brainbeats

The BrainBeats toolbox, implemented as an EEGLAB plugin, allows joint processing and analysis of EEG and cardiovascular signals (ECG/PPG). It has 3 main modes: 1) Remove heart components from EEG signals using ICA and ICLabel; 2) Perform heartbeat-evoked potentials (HEP) analysis; Extract EEG and HRV features from continuous data.