Memory-Efficient Spike-Time-Dependent Plasticity for Future Driverless Car Park Infrastructure
Author:
Affiliation:
1. Manchester Metropolitan University,School of Engineering,Manchester,United Kingdom,M1 5GD
2. University of Chichester,School of Engineering, Computing and Design,Bognor Regis,UK,PO21 1HR
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10379199/10379205/10379307.pdf?arnumber=10379307
Reference10 articles.
1. On-Chip Unsupervised Learning Using STDP in a Spiking Neural Network
2. IoT-Enabled Vacant Parking Slot Detection System Using Inkjet-Printed RFID Tags
3. Pattern Recognition Accuracy Optimization of Unsupervised Spiking Neural Network Using Y-Doped AlN Memristors
4. An 82-nW 0.53-pJ/SOP Clock-Free Spiking Neural Network With 40-μs Latency for AIoT Wake-Up Functions Using a Multilevel-Event-Driven Bionic Architecture and Computing-in-Memory Technique
5. Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation
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