Incorporating a variety of synaptic dynamics in neuromorphic hardware: Different types of inhibition and plasticity
This work provides
a simple and effective hardware solution for modeling
fundamental synaptic functions. It supports adaptive
learning and efficient processing in neuromorphic sys-
tems. The results can help build better brain-like systems
for AI, robotics, and brain-computer interfaces.
Authors
- Archita Hore (ORCID: https://orcid.org/0000-0002-9892-5428)
- Sharba Bandyopadhyay (ORCID: https://orcid.org/0000-0001-9781-1456)
- Saswat Chakrabarti
Institutions
- Indian Institute of Technology Kharagpur (IN)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2026-03-12
- DOI
- https://doi.org/10.1088/1741-2552/ae512d
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00