Data for the Quantitative Single-Neuron Modeling Competition (2007).
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Updated
May 30, 2023 - MATLAB
Data for the Quantitative Single-Neuron Modeling Competition (2007).
Supplementary figures for article: Context-specific early recruitment of small motor units in the shoulder muscle reflect a reach movement plan
Soul Scientific - ARM M3 based quad ads1299 - eeg- bci prototype (2015) - ALTIUM
This is a repository containing a script for matching neuronal recordings together as coming from the same putative unit or not
This is a guide to the code and data for the paper Mondragón-González, S. L., Schreiweis C, C., & Burguière E, E. (2024). Closed-loop recruitment of striatal parvalbumin interneurons prevents compulsive-like grooming behaviours. Nature Neuroscience
This repository contains tools for off-line processing of electrophysiological data acquired with Igor Pro.
Study project to test the effect of sleep deprivation on HRV using the Polar ECG belt
MATLAB Toolbox for batch analysis of postsynaptic current from neuronal recording.
MATLAB project to detect and highlight peaks in electrophysiology (ephys) data, including research conducted as an intern for AxoSim Technologies
Example on how to read patch clamp recordings in WaveMetrics IGOR *.ibw files.
Data for the Quantitative Single-Neuron Modeling Competition (2009).
A thesis project conducted in 2022/2023 at the Computational Systems Neuroscience Group (CSNG) of Charles University's Faculty of Mathematics and Physics. The project aims to study relationships between ECoG and electrode signals in the visual cortex of cats.
This repository contains basic local field potential analysis scripts and functions for the paper 'Closed-loop recruitment of striatal interneurons prevents compulsive-like grooming behaviours'
An environment for handling and analysing electrophysiological (Patch Clamp) measurements in R
This project creates an easy-to-use dashboard that allow researchers to load, pre-process and plot initial EAG data from .ASC files.
A very WIP python module to allow reading and import of Ced File System (CFS) electrophysiology files generated by the signal software suit
Tutorials and scripts for analyzing electrophysiological data.
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
A Python package for physyological's signals processing
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
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