Supervised learning in spiking neural networks: A review of algorithms and evaluations

X Wang, X Lin, X Dang - Neural Networks, 2020 - Elsevier
As a new brain-inspired computational model of the artificial neural network, a spiking
neural network encodes and processes neural information through precisely timed spike …

Recent trends in neuromorphic engineering

S Soman, M Suri - Big Data Analytics, 2016 - Springer
Neuromorphic Engineering has emerged as an exciting research area, primarily owing to
the paradigm shift from conventional computing architectures to data-driven, cognitive …

Efficient training of supervised spiking neural network via accurate synaptic-efficiency adjustment method

X Xie, H Qu, Z Yi, J Kurths - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
The spiking neural network (SNN) is the third generation of neural networks and performs
remarkably well in cognitive tasks, such as pattern recognition. The temporal neural encode …

Online meta-neuron based learning algorithm for a spiking neural classifier

S Dora, S Suresh, N Sundararajan - Information Sciences, 2017 - Elsevier
This paper presents a new spiking neural network architecture with a meta-neuron which
envelopes all the pre-and postsynaptic neurons in the network. The concept of the meta …

[图书][B] Intelligent optimization and control of complex metallurgical processes

M Wu, W Cao, X Chen, J She - 2020 - Springer
Iron and steel industry is the basis for the development of a country. Its level of development
determines the economic level and comprehensive national power of a country. However …

Estimating job cycle time in a wafer fabrication factory: A novel and effective approach based on post-classification

T Chen - Applied Soft Computing, 2016 - Elsevier
Estimating job cycle time is an important task for a semiconductor manufacturer as it helps to
strengthen relationships with customers and is also conducive to the sustainable …

Cyber fraud detection using evolving spiking neural network

AS Arya, V Ravi, V Tejasviram… - … on industrial and …, 2016 - ieeexplore.ieee.org
With the rapid growth of the internet, most of the businesses are now moving online. Since
the internet is ubiquitous and can be accessed from anywhere websites are susceptible to …

Motor imagery signal classification using spiking neural network

AN Niranjani, M Sivachitra - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
A brain-computer interface (BCI) is both a hardware and software based communication
system that allows cerebral activity to control computers or external devices. The …

A novel spiking neural network of receptive field encoding with groups of neurons decision

Y Ma, Z Wang, S Yu, B Chen, N Zheng… - Frontiers of Information …, 2018 - Springer
Human information processing depends mainly on billions of neurons which constitute a
complex neural network, and the information is transmitted in the form of neural spikes. In …

Supervised learning using spiking neural networks

A Jeyasothy, S Dora, S Sundaram… - … : Volume 2: Deep …, 2022 - World Scientific
Spiking neural networks (SNNs), termed as the third generation of neural networks, are
inspired by the information processing mechanisms employed by biological neurons in the …