This code simulates the Izhikevich Model using the forward Euler method and MATLAB in-built ode solver

This project contains a Live Script and two Apps which simulate a well known model for spiking neurons that has been published and is acknowledged. The Live Script is intended as a demo for

This repository contains a Japanese version of a published repository "Live_Script_Spiking_Neurons" by Shubo Chakrabarti https://github.com/

Live_Script_Spiking_Neurons_jpThis repository contains a Japanese version of a published repository "Live_Script_Spiking_Neurons" by Shubo Chakrabarti

This is a tutorial for key data analysis steps used by neuroscientists - filtering, spike extraction, PCA, clustering, and spectral analysis

workflowsFor experts, this is a good tutorial for teaching the basics of neural signal analysesTo run this Live Script check if you have a MATLAB license from your school or university. If not, you can download

MATLAB example using deep learning to classify chronological age from brain MRI images

chronological age classificationEvaluating the trained modelRunning the ExampleOpen and run the live script BrainMRIAgeClassificationUsingDeepLearning.mlxRequires:MATLAB (version R2019b or later)Deep

Repository for experiments with BackyardBrains Hardware

In this repository you'll find scripts for Data Acquisition and Analysis with Hardware.The Live-script HeartBrainSpiker_start will get you started with the Heart and Brain spiker box