Robust Offline Spike Sorter

Calibrated inference of spiking from calcium ΔF/F data using deep networks

Python implementation of signal processing techniques and K-means clustering to sort spikes.

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

Software for high density electrophysiology

Download Data from https://bit.ly/3g8RUmi

PASER: Processing and Analysis Schemes for Extracellular Recordings

Python Jupyter notebook for Neuralink Patent No. US 2021/0012909 A1, titled "Real-Time Neural Spike Detection"

Digital Signal Processing in Electroencephalography signals. Spike detection with threshold method and isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.

This repository includes useful MATLAB codes for ENG analysis.

[TNSRE-2021] Official implementation of "A Unified Optimization Model of Feature Extraction and Clustering for Spike Sorting"

Neural network-based approach for detecting spikes in high-density neural data using Multi-Layer Perceptron models

MATLAB GUI to identify, extract and analyze neural electrode data for action potentials by isolating neural spikes from noise.

Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.

Lo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel fi…

ML workflow designed for processing neurophysiological MEA data

Spike inference algorithm using frequency-domain FRI framework

Optimized spike detection based on https://github.com/mhhennig/HS2