spike-detection

There are 0 repository under spike-detection topic.

ramintoosi / ROSS
Robust Offline Spike Sorter
spike-sorting spike-detection extracellular-recordings offline-spike-sorter spike-sorter spike-sorting-software
Language:MATLAB 124
HelmchenLabSoftware / Cascade
Calibrated inference of spiking from calcium ΔF/F data using deep networks
calcium-imaging deconvolution deep-learning spike-detection two-photon
Language:Jupyter Notebook 102
spike_sorting
akcarsten / spike_sorting
Python implementation of signal processing techniques and K-means clustering to sort spikes.
clustering neuroscience python signal-processing spike-detection spike-sorting
Language:Jupyter Notebook 76
mhhennig / HS2
Software for high density electrophysiology
electrophysiology multi-electrode-array neural-recording spike-detection spike-sorting
Language:Jupyter Notebook 26
ajayarunachalam / pynmsnn
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
pytorch spiking-neural-networks python neuromorphic neuromorphic-computing classification regression predictive-modeling machine-learning deep-learning deep-neural-networks torch biological-neural-networks hebbian-learning spike-time-dependent-plasticity spike-inference spike-detection
Language:Jupyter Notebook 23
nghorbani / NeuralDataAnalysis
Download Data from https://bit.ly/3g8RUmi
data-analysis spike-detection spike-rate matlab
Language:MATLAB 4
tbrouns / paser
PASER: Processing and Analysis Schemes for Extracellular Recordings
electrophysiology extracellular-data extracellular-recordings local-field-potential neuroscience neuroscience-methods quality-control spike-analysis spike-detection spike-sorting spikes toolbox
Language:Matlab 3
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.
classification electroencephalography feature-engineering spike-detection threshold-method
Language:MATLAB 1
RezaSaadatyar / Spike-Sorting-Techniques
This repository includes useful MATLAB codes for ENG analysis.
kmeans-clustering spike-detection spike-sorting wavelet-analysis
Language:MATLAB 1
W-orko / NSpike
MATLAB GUI to identify, extract and analyze neural electrode data for action potentials by isolating neural spikes from noise.
neuroscience spike-detection
Language:MATLAB 1
gavinmischler / spikeFRInder
Spike inference algorithm using frequency-domain FRI framework
calcium-imaging finite-rate-of-innovation spike-detection spike-inference spike-trains
Language:Jupyter Notebook 0
lkct / hs-detection
Optimized spike detection based on https://github.com/mhhennig/HS2
electrophysiology multi-electrode-array neural-recording spike-detection spike-sorting
Language:C++ 0
tivenide / SpikeSense
ML workflow designed for processing neurophysiological MEA data
imbalanced-data machine-learning neuroscience spike-detection transformer time-series-classification
Language:Python 0
ydecastro / super-resolution-testing
Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.
superresolution testing lasso-variants spacings spike-detection spike-inference spike-deconvolution statistics statistical-learning statistical-tests gaussian-process-regression inference
Language:Jupyter Notebook 0
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.
feature-vector spike-detection python scipy numpy matplotlib air-quality indoor-air-quality human-activity-recognition cooking-activity-recognition
Language:Python