closed-loop-neuroengineering

Version 0.2 (172 MB) by Mattia Di Florio
A tool to enable Model-based Design approach for neuroengineering systems.
0.0
(0)
6 Downloads
Updated 11 Nov 2023
View License on GitHub

Cite As

Mattia Di Florio (2026). closed-loop-neuroengineering (https://github.com/MattiaDif/closed-loop-neuroengineering/releases/tag/v0.2), GitHub. Retrieved .

M. Di Florio, Y. Bornat, M. Caré, V. R. Cota, S. Buccelli, M. Chiappalone bioRxiv 2023.09.11.557151; doi: https://doi.org/10.1101/2023.09.11.557151

MATLAB Release Compatibility
Created with R2020a
Compatible with R2020a and later releases
Platform Compatibility
Windows macOS Linux
Tags Add Tags

Custom_architecture/Example/CustArchitecture_Verilog/CustArchitecture

Custom_architecture/Example/CustArchitecture_input_output_check

Custom_architecture/Example_pipein/CustArchitecture_input_output_check

Custom_architecture/Simulink_lib

Custom_architecture/Source_Code

Spike_Detection_models/MultiChannelModels/Energy_Operator

Spike_Detection_models/MultiChannelModels/Sample_Thresholding

Spike_Detection_models/MultiChannelModels/Template_Matching

Spike_Detection_models/SingleChannelModels/Energy_Operator

Spike_Detection_models/SingleChannelModels/Sample_Thresholding

Spike_Detection_models/SingleChannelModels/Template_Matching

Custom_architecture/Example

Custom_architecture/Example/CustArchitecture_Verilog/CustArchitecture

Custom_architecture/Example_pipein

Custom_architecture/Simulink_lib

Custom_architecture/Source_Code

Spike_Detection_models/MultiChannelModels/Energy_Operator

Spike_Detection_models/MultiChannelModels/Sample_Thresholding

Spike_Detection_models/MultiChannelModels/Template_Matching

Spike_Detection_models/SingleChannelModels/Energy_Operator

Spike_Detection_models/SingleChannelModels/Sample_Thresholding

Spike_Detection_models/SingleChannelModels/Template_Matching

Version Published Release Notes
0.2

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.