Name
Abstract | ||
|---|---|---|
The paper presents a neuromorphic system implemented on a Field Programmable Gate Array (FPGA) device establishing fault tolerance using a learning method, which is a combination of the Spike-Timing-Dependent Plasticity (STDP) and Bienenstock, Cooper, and Munro (BCM) learning rules. The rule modulates the synaptic plasticity level by shifting the plasticity window, associated with STDP, up/down the vertical axis as a function of postsynaptic neural activity. Specifically when neurons are inactive, either early on in the normal learning phase or when a fault occurs, the window is shifted up the vertical axis (open), leading to an increase in firing rate of the postsynaptic neuron. As learning progresses, the plasticity window moves down the vertical axis until the desired postsynaptic neuron firing rate is established. Experimental results are presented to show the effectiveness of the proposed approach in establishing fault tolerance. The system can maintain the network performance with at least one nonfaulty synapse. Finally, we discuss a robotic application utilizing the proposed architecture. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/VLSID.2018.36 | 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID) |
Keywords | Field | DocType |
Neuromorphic Computing,Fault Tolerance,Self-Repair,Spiking Neural Network,Astrocyte,Field Programmable Gate Array,Bio-inspired Engineering | Synapse,Computer science,Control theory,Postsynaptic potential,Field-programmable gate array,Neuromorphic engineering,Electronic engineering,Fault tolerance,Synaptic plasticity,Artificial neural network,Spiking neural network | Conference |
ISSN | ISBN | Citations |
1063-9667 | 978-1-5386-3693-0 | 0 |
PageRank | References | Authors |
0.34 | 2 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anju P. Johnson | 1 | 39 | 5.20 |
| Junxiu Liu | 2 | 125 | 23.91 |
| Alan G. Millard | 3 | 24 | 5.94 |
| Shvan Karim | 4 | 8 | 1.80 |
| Andy M. Tyrrell | 5 | 629 | 73.61 |
| Jim Harkin | 6 | 325 | 36.82 |
| Jon Timmis | 7 | 1237 | 120.32 |
| Liam Mcdaid | 8 | 270 | 30.48 |
| David M. Halliday | 9 | 95 | 15.07 |