A comparison of learning abilities of spiking networks with different spike timing-dependent plasticity forms
Author:
Publisher
IOP Publishing
Subject
General Physics and Astronomy
Link
http://stacks.iop.org/1742-6596/681/i=1/a=012013/pdf
Reference9 articles.
1. What Can a Neuron Learn with Spike-Timing-Dependent Plasticity?
2. Comparison of learning methods for spiking neural networks
3. The tempotron: a neuron that learns spike timing–based decisions
4. Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI
5. A quantitative description of membrane current and its application to conduction and excitation in nerve
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1. Unsupervised Learning of Spike-Timing-Dependent Plasticity Based on a Neuromorphic Implementation;2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2023-06-11
2. Adaptive control of synaptic plasticity integrates micro- and macroscopic network function;Neuropsychopharmacology;2022-08-29
3. A critical survey of STDP in Spiking Neural Networks for Pattern Recognition;2020 International Joint Conference on Neural Networks (IJCNN);2020-07
4. Parameter Exploration to Improve Performance of Memristor-Based Neuromorphic Architectures;IEEE Transactions on Multi-Scale Computing Systems;2018-10-01
5. On the applicability of STDP-based learning mechanisms to spiking neuron network models;AIP Advances;2016-11
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