Modeling homosynaptic and heterosynaptic plasticity with a single neuromemristive synapse
The proposed synapse bio-realistically mimics synaptic plasticity, neurotransmitter dynamics, and neuronal responses. Implemented using off-the-shelf components, it supports both volatile and non-volatile modes, making it suitable for CMOS integration. This enables advancements in spiking neural networks, brain function analysis, and scalable neuromorphic computing systems.
Authors
- Hyongsuk Kim (ORCID: https://orcid.org/0000-0002-3321-5695)
- Zubaer Ibna Mannan (ORCID: https://orcid.org/0000-0002-5336-5252)
- Nur Alam (ORCID: https://orcid.org/0000-0002-7591-9033)
- Sami Azam (ORCID: https://orcid.org/0000-0001-7572-9750)
- Ram Kaji Budhathoki (ORCID: https://orcid.org/0000-0002-7716-9897)
Institutions
- Charles Darwin University (AU)
- Kyungdong University (KR)
- Kathmandu University (NP)
- Jeonbuk National University (KR)
- East West University (BD)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.jare.2025.10.031
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00