P42 - Neuromorphic Spiking Sensory Conversion System Based on the STDP Learning Rule of Biological Synapses
- Event
- SMSI 2025
2025-05-06 - 2025-05-08
Nürnberg - Band
- Poster
- Chapter
- Poster Session
- Author(s)
- H. Abd, A. Joshy, A. König - RPTU University Kaiserslautern Landau, Kaiserslautern (Germany)
- Pages
- 315 - 316
- DOI
- 10.5162/SMSI2025/P42
- ISBN
- 978-3-910600-06-5
- Price
- free
Abstract
Developing a standard sensory system using advanced integration technologies presents both advantages and obstacles due to issues like noise, manufacturing deviations, and signal swings. Adopting a self-adaptive approach and shifting from traditional amplitude-based processing to a biologically inspired, adaptive spike-domain framework provides a practical solution. This work introduces a neuromorphic model of an adaptive spiking sensory front-end featuring self-X properties and capacitive storage. A learning loop enables continuous synaptic updates to prevent signal degradation, using spike-timing-dependent plasticity (STDP) for adaptation.