SpikeAgent is a multimodal LLM-based AI agent that automates and standardizes the spike sorting pipeline

Tools for analyzing spiking data from single-neuron recodings.

Stable and aligned spike sorting and decoding over long-term recordings in BCI

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"

Synthesising Realistic Calcium Imaging Data of Neuronal Populations Using GAN.

PASER: Processing and Analysis Schemes for Extracellular Recordings

Analysis and visualization of data recorded from V4 of macaque monkeys trained in a shape detection task

Implementation of semi-automatic spike interface pipeline on tungsten WARP data for the myriad cluster

Repo for opening, plotting, and analyzing ecephys data collected with NP Ultra probes

Closed Loop Analysis, Visualization and Control

Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.

Analyse des séquences de potentiels d'action / Spike train analysis

Dynamical Neuroscience in Ukraine course, basics of spike analysis