ctw

eeglcf

Python implementation of LCF method for EEG artifact rejection

hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

abstractRepresentationsInMTL

Analysis Code and Data of "Abstract Semantic Represetations in MTL Neurons" (Reber et al. in prep.)

BNI-analyses

Patterns of distributed neural firing code for perceptual features analyses files

cmlreaders

CML data reading made easy

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

EB1A

EB1A Full Application - I-140 and I-485

eegfaster

Python implementation of FASTER method for EEG artifact rejection

kabuki

kabuki is a python toolbox that allows easy creation of hierarchical bayesian models for the cognitive sciences.

line_profiler

Line-by-line profiling for Python

miller_ecog_tools

mixpy

MixPy contains a mix of useful methods

myhddm

module for interacting with HDDM

nilearn

Machine learning for NeuroImaging in Python

OpenElectrophy

Frame work for analysis intra- and extra-cellular recordings.Spike sorting.

ptsa

Python Time Series Analysis (PTSA, pronounced "pizza")

ptsa_new

PTSA - Python Time Series Analysis

ptsa_plot

Visualization and plotting tools loosely relevant to PTSA

pycircstat

Toolbox for circular statistics with Python

pylatexenc

Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion

PySurfer

Cortical neuroimaging visualization in Python

python-neo

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

scikit-learn

scikit-learn: machine learning in Python

statsmodels

Statsmodels: statistical modeling and econometrics in Python