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Welcome to closed-loop-neuroengineering's documentation!

This project comes from a collaboration between the Rehab Technologies Lab at the Italian Institute of Technologies (Genoa) and the MathWorks® company.

The goal is to provide a rapid-prototyping, model-based design architecture to speed up the implementation of closed-loop systems for neuroengineering application on FPGAs. This has been reached by means of the following process:

1. Build a reference Simulink model to process neural data;

2. Take advantage of the Fixed-Point Designer and HDL code generator provided by MathWorks to implement the model on FPGA;

3. Implementation and test on commercially available systems such as the Inatn RHS Stim/Recording System (Intan website).

This project comes from a collaboration between the Rehab Technologies Lab at the Italian Institute of Technologies (Genoa) and the MathWorks® company.

The goal is to provide a rapid-prototyping, model-based design architecture to speed up the implementation of closed-loop systems for neuroengineering application on FPGAs. This has been reached by means of the following process:

1. Build a reference Simulink model to process neural data;

2. Take advantage of the Fixed-Point Designer and HDL code generator provided by MathWorks to implement the model on FPGA;

3. Implementation and test on commercially available systems such as the Inatn RHS Stim/Recording System (Intan website).

Figure 1: Simulink library application example

For further information please refer to the scientific publication: link.