Assembly-based STDP: a new learning rule for spiking neural networks inspired by biological assemblies
Spiking Neural Networks (SNNs), An alternative to sigmoidal neural networks, include time into their operations using discrete signals called spikes. Employing spikes enables SNNs to mimic any feedforward sigmoidal neural network with lower power consumption. Recently a new type of SNN has been intr...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/19666077.v1 |
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