Neural vs Neuromorphic Interfaces: Where Are We Standing?
Chemical Reviews, vol. 125, pp. 9092–9139
Abstract
Neuromorphic interfaces represent a transformative frontier in neural engineering, enabling seamless communication between the nervous system and external devices through biologically inspired computing architectures. These systems offer promising avenues for diagnosing and treating neurological disorders by emulating the brain's computational strategies. Neural devices, including sensors and stimulators, monitor or modulate neural activity, playing a pivotal role in deciphering brain function and neuropathologies. Yet, clinical translation remains limited due to persistent challenges such as foreign body responses, low signal-to-noise ratios, and constraints in real-time data processing. Recent breakthroughs in neuromorphic hardware, neural recording, and stimulation technologies are addressing these challenges, paving the way for more adaptive and efficient brain-machine interfaces and neuroprosthetics. This review highlights the emerging class of neurohybrid interfaces, where neuromorphic systems might be integrated to enhance bidirectional neural communication. It emphasizes novel material strategies engineered for seamless neural interfacing and their incorporation into advanced neuromorphic chip architectures capable of real-time signal processing and closed-loop feedback. Furthermore, this review explores cutting-edge neuromorphic biointerfaces and evaluates the technological, biological, and ethical challenges involved in their clinical deployment. By bridging materials science, neuroscience, and neuromorphic engineering, these systems hold the potential to redefine the landscape of neurotechnology.
Authors 12
-
Daniela Rana Aachen
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT
RWTH Aachen
-
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
-
Martina Gini Aachen
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT
RWTH Aachen
-
A. Cáceres Aachen
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT
RWTH Aachen
-
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
-
Valeria Criscuolo Aachen
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT
RWTH Aachen
-
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
-
Technical University of Munich
Affiliation as printed
Institute for History and Ethics of Medicine, Technical University of Munich (TUM), Ismaniger Str. 22, Munich 81675, Germany
-
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
-
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
-
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
-
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Institute for Biological Information Processing-Bioelectronics, IBI-3 Forschungszentrum Juelich, 52428, Germany
Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT
RWTH Aachen
Cited by 26 stored of 26
No patents citing this paper on Lens.org (checked 2026-10-06).