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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Tielin Zhang

Institute of Automation, Chinese Academy of Sciences


Yi Zeng

Institute of Automation, Chinese Academy of Sciences


Dongcheng Zhao

Institute of Automation, Chinese Academy of Sciences


Mengting Shi

Institute of Automation, Chinese Academy of Sciences


DOI:

10.1609/aaai.v32i1.11317


Abstract:

Many efforts have been taken to train spiking neural networks (SNNs), but most of them still need improvements due to the discontinuous and non-differential characteristics of SNNs. While the mammalian brains solve these kinds of problems by integrating a series of biological plasticity learning rules. In this paper, we will focus on two biological plausible methodologies and try to solve these catastrophic training problems in SNNs. Firstly, the biological neural network will try to keep a balance between inputs and outputs on both the neuron and the network levels. Secondly, the biological synaptic weights will be passively updated by the changes of the membrane potentials of the neighbour-hood neurons, and the plasticity of synapses will not propagate back to other previous layers. With these biological inspirations, we propose Voltage-driven Plasticity-centric SNN (VPSNN), which includes four steps, namely: feed forward inference, unsupervised equilibrium state learning, supervised last layer learning and passively updating synaptic weights based on spike-timing dependent plasticity (STDP). Finally we get the accuracy of 98.52% on the hand-written digits classification task on MNIST. In addition, with the help of a visualization tool, we try to analyze the black box of SNN and get better understanding of what benefits have been acquired by the proposed method.

Topics: AAAI

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HOW TO CITE:

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks AAAI 2018, .

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi (2018). A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi. A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi. 2018. A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi. (2018) "A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi, "A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks", AAAI, p., 2018.

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi. "A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi. "A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Tielin Zhang||Yi Zeng||Dongcheng Zhao||Mengting Shi. A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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