remove temp and junk files

improve KL divergence docs and cleanups

update pandas notebook

sample json to yaml js script

conda env file

Delete Pipfile ...

remove old pipfile

add n-back analysis outline, and a new ICOM poisson generator using arrival time instead of counts

improve poisson encoder and visualize a sample output

a webapp to generate attentional blink sequences

Folk2002 sequence generator for attentional blink

new encoder for poisson rate coding.

make the spike train visualizer an app

a simple spike train visualizer

visualize trace and posterior of stan model

possion generators and brian2 playground

add PyStan sample codes to model a linear regression

learning poisson, exp, and gamma and playing with it

KL divergence, exp, and poi tests

amend the last commit and recommit

add all the notebooks that I forgot to add to the repo before :-)

add jupyter playgrounds, mostly empty :D

add some final plots

add data and figs for ccn2019

cleanups

add more intersting formulas.

refactor analysis into a single ccn2019 notebook.

refact ccn2019/

enet and feature selection

recursive feature elimination with caret

model-free variable importance