An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3073846
Abstract: It is challenging to train deep spiking neural networks (SNNs) directly due to the difficulties associated with the nondifferentiable neuron model. In this work, an end-to-end learning algorithm based on discrete current-based leaky integrate-and-fire (C-LIF)… read more here.
Keywords: neural networks; deep spiking; training; spiking neural ... See more keywords
Assisting Training of Deep Spiking Neural Networks With Parameter Initialization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2025.3547774
Abstract: Spiking neural networks (SNNs) exhibit significant advantages in terms of information encoding, computational capabilities, and power usage. We regard initializing weight distribution as a key problem for effective SNN training. When backpropagation (BP) through time… read more here.
Keywords: spiking neural; deep spiking; initialization; training deep ... See more keywords
A Deep Spiking Neural Network Anomaly Detection Method
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6391750
Abstract: Cyber-attacks on specialized industrial control systems are increasing in frequency and sophistication, which means stronger countermeasures need to be implemented, requiring the designers of the equipment in question to re-evaluate and redefine their methods for… read more here.
Keywords: neural network; deep spiking; spiking neural; anomaly detection ... See more keywords
Auto Deep Spiking Neural Network Design Based on an Evolutionary Membrane Algorithm
Sign Up to like & getrecommendations! Published in 2025 at "Biomimetics"
DOI: 10.3390/biomimetics10080514
Abstract: In scientific research and engineering practice, the design of deep spiking neural network (DSNN) architectures remains a complex task that heavily relies on the expertise and experience of professionals. These architectures often require repeated adjustments… read more here.
Keywords: deep spiking; membrane algorithm; network; evolutionary membrane ... See more keywords
Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "Brain Sciences"
DOI: 10.3390/brainsci13020168
Abstract: By mimicking the hierarchical structure of human brain, deep spiking neural networks (DSNNs) can extract features from a lower level to a higher level gradually, and improve the performance for the processing of spatio-temporal information.… read more here.
Keywords: neural networks; deep spiking; spike train; spiking neural ... See more keywords
Investigation of Deep Spiking Neural Networks Utilizing Gated Schottky Diode as Synaptic Devices
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13111800
Abstract: Deep learning produces a remarkable performance in various applications such as image classification and speech recognition. However, state-of-the-art deep neural networks require a large number of weights and enormous computation power, which results in a… read more here.
Keywords: synaptic devices; neural networks; deep spiking; spiking neural ... See more keywords