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REVIEW article
Front. Neurosci.
Sec. Neuromorphic Engineering
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1570104
Neuromorphic Algorithms for Brain implants: A Review
Provisionally accepted
Wiktoria Agata Pawlak *
Newton Howard - ni2o, Washington, United States
Neuromorphic computing technologies are about to change modern computing, yet most work thus far has emphasized hardware development. This review focuses on the latest progress in algorithmic advances specifically for potential use in brain implants. We discuss current algorithms and emerging neurocomputational models that, when implemented on neuromorphic hardware, could match or surpass traditional methods in efficiency. Our aim is to inspire the creation and deployment of models that not only enhance computational performance for implants but also serve broader fields like medical diagnostics and robotics inspiring next generations of neural implants.
Keywords: neuromorphic computing, Brain implants, Spiking neural networks (SNNs), synaptic plasticity, Mixed-signal design, Neurocomputational models, Brain-computer interfaces (BCIs), Data Compression
Received: 02 Feb 2025; Accepted: 26 Mar 2025.
Copyright: © 2025 Pawlak and Howard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wiktoria Agata Pawlak, ni2o, Washington, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.