K Means Clustering for EEG

Supervised Vs. Unsupervised Learning Unsupervised machine learning is separated into two types. Cluster analysis. 1. Throw a bunch of data at the machine and wait for it to come up with an answer for you 2. Throw a bunch of data at the machine and specify a number of X categories ex. throw a bunch of pictures of males and females, and have the machine separate out into different genders. This is an example of flat clustering. Flat vs Hierarchical. Hierarchical means throwing the data at a machine then having... Read The Rest →

Stream Entry – Sottapana

Stream of consciousness post… Sottapana, or a stream winner, is a person who has eradicated the first three fetters(self identity, skeptical doubt, and adherence to rites and rituals). It’s the first of the four stages to enlightenment. 1. Anatta (No-self) – The 5 aggregates of self have been penetrated. Feelings, perception, physical, mental formations, and consciousness have been teased out. Each aggregate is seen as it actually is. 2. Skeptical doubt – Being able to see past the small self, and existing in pure awareness, I was able to realize... Read The Rest →

Consumer EEG Devices

nirHEG – better reaction time and ability to track, better for training people with ADHD Neurosky – $75-500, only 1 sensor EPOC – 16 sensors $480(299 for headset and 179 for Mind Workstation)  

My Experience with Neuroptimal

I’m going into doing my first neuroptimal neurofeedback session today. First, a little background on Neuroptimal. Neuroptimal is a non-invasive neurofeedback training system which works using EEG and negative feedback using sound. It acts to create resilience in the brain by alerting you when there is turbulance in brain activity. It operates on the idea that the brain is a nonlinear dynamical system, which Neuroptimal feeds information to organize and reorganize. Neuroptimal operates on 16 different brain targets from the frequency bands of .001 to 42 Hz. I’m excited to... Read The Rest →

Theta Alpha Gamma Synchronization

TAG Sync targets the default mode network of the brain. It was invented by Douglas Dailey. It emphasizes the theta, alpha, and gamma frequency bands through neurofeedback. He chose the developing midline anterior to posterior theta alpha synchrony which characterizes the brains of mammals, networks of neurocognitively mature adults and advanced synchronization features of mindfulness practitioners. This method depends on phase resets in the brain which indicate more frequent updates in the operational state.

Guide to Neurofeedback Training


What is neurofeedback? Neurofeedback is essentially EEG operant conditioning using a brain-computer interface. Most the systems out there use multiple frequency bands and train the brain to correct itself according to external stimuli. Popular Neurofeedback Protocols: ex: Neuroptimal, TAGSync, HEG, ILF protocols Hardware Medium-Range: NeuroBit Qwhiz Consumer EEGs: ex: Emotiv, Muse, Neurosky etc.    

Genome Browser

I’ve been spending a lot of time playing with bioinformatics tools. I’ve been working with “jbrowse” a javascript genome browser, for my thesis project. Going to add more annotation tracks really soon.  Check it out. Also been working with Hadoop, in order to become a better data scientist. If you’re interested, here’s a sweet tutorial on using Hadoop for Transcriptomics.

R for Visualizations

Been experimenting with R. I whipped this up really quickly using the tutorial from Flowing Data

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