spike-detection
There are 20 repositories under spike-detection topic.
HelmchenLabSoftware/Cascade
Calibrated inference of spiking from calcium ΔF/F data using deep networks
ramintoosi/ROSS
Robust Offline Spike Sorter
akcarsten/spike_sorting
Python implementation of signal processing techniques and K-means clustering to sort spikes.
LiuLab-Bioelectronics-Harvard/SpikeAgent
SpikeAgent is a multimodal LLM-based AI agent that automates and standardizes the spike sorting pipeline
ajayarunachalam/pynmsnn
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
mhhennig/HS2
Software for high density electrophysiology
nghorbani/NeuralDataAnalysis
Download Data from https://bit.ly/3g8RUmi
michaela10c/neural_spike_detection
Python Jupyter notebook for Neuralink Patent No. US 2021/0012909 A1, titled "Real-Time Neural Spike Detection"
tbrouns/paser
PASER: Processing and Analysis Schemes for Extracellular Recordings
RezaSaadatyar/Neurophysiological-Signal-Processing-and-Analysis
This repository contains extensive tools and scripts for processing and analyzing neurophysiological signals. The primary focus is on various critical aspects of neurophysiological data handling, including spike detection, feature extraction, clustering, and firing rate analysis.
firelord97/Spike-Detection-using-Neural-Nets
Neural network-based approach for detecting spikes in high-density neural data using Multi-Layer Perceptron models
konstantd/Biomedical_Engineering
Digital Signal Processing in Electroencephalography signals. Spike detection with threshold method and isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.
libo-huang/Unified-SS
[TNSRE-2021] Official implementation of "A Unified Optimization Model of Feature Extraction and Clustering for Spike Sorting"
PTRRupprecht/Quantal-analysis-for-spike-inference
Quantal analysis for autocalibration of inferred spike rates from calcium imaging
W-orko/NSpike
MATLAB GUI to identify, extract and analyze neural electrode data for action potentials by isolating neural spikes from noise.
gavinmischler/spikeFRInder
Spike inference algorithm using frequency-domain FRI framework
lkct/hs-detection
Optimized spike detection based on https://github.com/mhhennig/HS2
tivenide/SpikeSense
ML workflow designed for processing neurophysiological MEA data
ydecastro/super-resolution-testing
Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.
marinimau/Spike-detection-for-cooking-activity-recognition-based-on-indoor-air-quality-sensor
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 file allegato.