Tools for analyzing spiking data from single-neuron recodings.
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Updated
Jun 12, 2024 - Python
Tools for analyzing spiking data from single-neuron recodings.
Premise of Task: Contextual Alert and Trend System (CATS) is a proof of concept (POC) for an automated system for near real-time media monitoring via GDELT to identify trends and anomalies in the volume of online reports about pre-defined indicator events, at country level. This repository reflects the methodologies used to complete this task.
Python implementation of "Parameters for burst detection"
PASER: Processing and Analysis Schemes for Extracellular Recordings
Synthesising Realistic Calcium Imaging Data of Neuronal Populations Using GAN.
Analysis and visualization of data recorded from V4 of macaque monkeys trained in a shape detection task
Closed Loop Analysis, Visualization and Control
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
Repo for opening, plotting, and analyzing ecephys data collected with NP Ultra probes
Dynamical Neuroscience in Ukraine course, basics of spike analysis
Analyse des séquences de potentiels d'action / Spike train analysis
Implementation of semi-automatic spike interface pipeline on tungsten WARP data for the myriad cluster
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