Neuromorphic Electronics at BioCAS: A 20-year Legacy of Sparking Technology Revolutions
Motivated by the parsimony and robustness of the biological brain at computing, engineers have, over the last four decades, been emulating neurophysiology in silicon, i.e., neuromorphic engineering. The field has made significant contributions to our understanding of biological learning with accompanying implications in efficient sensing and artificial intelligence. Over the last two decades, BioCAS has been a conduit for disseminating research in neuromorphic engineering and other related fields. In such a milestone anniversary, we deem it appropriate to present a retrospective on the progress of the field with emphasis on the various contributions in neuromorphic electronics at BioCAS/CAS. At the risk of being inexhaustive, we offer some historical perspectives and key contexts that have shaped the community and the field as a whole. With the blessing of hindsight, we proceed to make bold projections on the future of the field.
Authors
- Akwasi Akwaboah (ORCID: https://orcid.org/0000-0002-3134-7221)
- Ralph Etienne‐Cummings (ORCID: https://orcid.org/0000-0003-4445-973X)
Institutions
- Johns Hopkins University (US)
Publication Details
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1109/biocas61083.2024.10798206
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00