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abstractrepresentationsinmtl

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

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

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).

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