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bayesianprobabilitiesworkshop

A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.

bcm-theory

BCM Simulations & Formation of Receptive Fields in a neuron

cbpspikesortdemo

Demo code for spike sorting by continuous basis pursuit

code_general

place for common functions

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

matlab_kernel

Jupyter Kernel for Matlab

matlab_speech_features

A set of speech feature extraction functions for ASR and speaker identification written in matlab.

mid

Python implementation of Sharpee, Rust, and Bialek's Maximally Informative Dimensions method for characterizing the relevant subspace of a neuron subject to general stimuli.

mpraat

mPraat toolbox for Matlab

naplib

nerds

:angel: Matlab package implementing blind deconvolution method for neural spike recovery

neural_decoding

A python package that includes many methods for decoding neural activity

neuroscience-information-theory-toolbox

A MATLAB toolbox for performing information theory analyses of neuroscience data

parametric_modeling

Parametric modelling functions that can be found in MATLAB now in python

pitch_sc

pmh-tutorial

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pyspike

Python implementation of spike distance metrics

python-matlab-bridge

A simple Python => MATLAB(R) interface and a matlab_magic for ipython

revpublish

seqnmf

An algorithm for unsupervised discovery of sequential structure

spgl1_python_port

Port of SPGL1 to python

spiking-restricted-boltzmann-machine

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

strflab

STRFLAB! A newer tool for fitting spatio-temporal receptive fields.

strfpak

STRFPAK! A tool for fitting spatio-temporal receptive fields.

vim-config

my vim config to share amongst my machines

vitay-2016

[Re] Robust timing and motor patterns by taming chaos in recurrent neural networks, ReScience 2(1), 2016