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pygrnn

Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided

pykcsd

Object oriented Python kernel current source density toolbox

pynapple

PYthon Neural Analysis Package :pineapple:

pyplfv

Python package for the analysis of EEG data from BrainVision's 'Analyzer' and 'Recorder'. Used methods are Phase-locking factor and Phase-locking value.

pyrcca

Regularized kernel canonical correlation analysis in Python

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

python-in-neuroscience-tutorials

Collection of tutorials about methods of computational neuroscience using Python

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pyts

A Python package for time series classification

quantitative-big-imaging-2018

(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018

rate_adjustment_for_spike_coherence

An implementation of the spike-rate adjustment method from Aoi et al. (2015) for comparing spike-field and spike-spike coherences.

relataly-public-python-tutorials

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

replay_identification

A semi-latent state-space model that combines movement, LFP, and ensemble spiking information to identify periods of replay and decode its content in real time. Long Tao et al., unpublished.

replay_trajectory_classification

A state space model for decoding hippocampal replay trajectories and determining their type using sorted or clusterless data

ripple_detection

Tools for identifying sharp wave ripple events using LFPs

santiatoolbox

scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

scikit-tensor

Python library for multilinear algebra and tensor factorizations

seizure-detection-tutorials

A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets

sima

Python package for analysis of dynamic fluorescence microscopy data

singular-spectrum-transformation

fast implementation of singular spectrum transformation (change point detection algorithm)

sippy

Systems Identification Package for PYthon

sklearn-som

A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.

spectral_connectivity

Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data

spike-sorting

Applied data analysis and machine learning techniques to sort raw electrode data into individual neuron firing patterns.

spike-trigerred-average

Neural Encoding : Computing Spike-Triggered Average from stimulus-time series and spike-time series. (Computational Neuroscience Coursera)

spikesorting

Code to visualize and spike sort recorded data

spikesortingtutorial

Short and easy tutorial on how to sort spikes from LFP data

spiketrain

analysis for neuronal spike train data

spiketrainstatistics

Some simple spike train statistics