Computational Neuroscience Toolkit is a multi-language (Python & MATLAB) collection of tools for neural data analysis and modeling. This repository provides a suite of functions for signal processing, spike sorting, feature extraction, and visualization, as well as computational models for neural dynamics and network simulations.
Designed for researchers and enthusiasts in neuroscience, this toolkit aims to streamline data analysis workflows and facilitate computational modeling of neural systems. Whether you're working with electrophysiological recordings, simulating neural circuits, or exploring statistical properties of neural signals, this toolkit provides modular and extensible tools to support your work.