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Jul 17, 2017 - MATLAB
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PASER: Processing and Analysis Schemes for Extracellular Recordings
MATLAB GUI to identify, extract and analyze neural electrode data for action potentials by isolating neural spikes from noise.
Python implementation of signal processing techniques and K-means clustering to sort spikes.
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…
Digital Signal Processing in Electroencephalography signals. Spike detection with threshold method and isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.
Spike inference algorithm using frequency-domain FRI framework
Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
Optimized spike detection based on https://github.com/mhhennig/HS2
Robust Offline Spike Sorter
ML workflow designed for processing neurophysiological MEA data
This repository includes useful MATLAB codes for ENG analysis.
Python Jupyter notebook for Neuralink Patent No. US 2021/0012909 A1, titled "Real-Time Neural Spike Detection"
Calibrated inference of spiking from calcium ΔF/F data using deep networks
Software for high density electrophysiology
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