Abstract
In pulse-based neural networks, synaptic dynamics can have direct influence on learning of neural codes, and encoding of spatiotemporal spike patterns. In this paper, we propose an adaptive synapse circuit for increased flexibility and efficacy of signal processing units in neuromorphic structures. The synapse acts as a multi-layer computational network, and includes multi-compartment dendrites and different types of post-synaptic back propagating signals. With built-in temporal control mechanisms, the resulting reconfigurable network allows the implementation of synaptic homeostatics.
Original language | English |
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Title of host publication | 2018 14th IEEE International Conference on Signal Processing (ICSP) |
Editors | Zhao Yao, An Gaoyun, Ruan Qiuqi, Yuan Baozong |
Place of Publication | Beijing |
Publisher | IEEE |
Pages | 997-1000 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-5386-4673-1 |
ISBN (Print) | 978-1-5386-4674-8 |
DOIs | |
Publication status | Published - 2019 |
Event | 14th IEEE International Conference on Signal Processing, ICSP 2018 - Beijing, China Duration: 12 Aug 2018 → 16 Aug 2018 |
Conference
Conference | 14th IEEE International Conference on Signal Processing, ICSP 2018 |
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Country/Territory | China |
City | Beijing |
Period | 12/08/18 → 16/08/18 |
Keywords
- Cognitive systems
- Neuromorphic circuits
- Synapse