Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces

npj Biomedical Innovations., vol. 3

Abstract

Neurological disorders pose a growing global health burden, motivating advances in neural interfacing and artificial intelligence (AI). This review surveys state-of-the-art approaches for neural recording, stimulation and signal decoding and encoding across brain-computer interfaces, neuroprosthetics, and neuromodulation systems aimed at restoring function and treating neurological disorders. It highlights recent progress in AI, particularly neuromorphic computing and spiking neural networks (SNNs), and introduces Brain-Inspired Brain-Computer Interfaces (BI-BCIs) as a unifying framework for low-power, closed-loop, and miniaturized neuromorphic neurotechnologies.

Authors 7

1. Hoda Fares corresponding

   Aarhus University · Stanford University

   Affiliation as printed

   Bao Group, Department of Chemical Engineering, Stanford University, Stanford, CA, USA. hfares@ece.au.dk

   Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark. hfares@ece.au.dk

2. Margherita Ronchini

   Aarhus University

   Affiliation as printed

   Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

3. Milad Zamani

   University of Southern Denmark

   Affiliation as printed

   Department of Mechanical and Electrical Engineering, University of Southern Denmark, Odense, Denmark

4. Hooman Farkhani

   University of Southern Denmark

   Affiliation as printed

   Department of Mechanical and Electrical Engineering, University of Southern Denmark, Odense, Denmark

5. Michela Chiappalone

   University of Genoa

   Affiliation as printed

   Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy

6. Emre Neftci Aachen

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Peter Grünberg Institute, Forschungszentrum Jülich GmbH, Jülich, Germany

   RWTH Aachen University, Aachen, Germany

7. Farshad Moradi corresponding

   University of Southern Denmark

   Affiliation as printed

   Department of Mechanical and Electrical Engineering, University of Southern Denmark, Odense, Denmark. hfares@stanford.edu