An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

In this paper, we propose a novel winner-take-all (WTA) architecture employing neurons with nonlinear dendrites and an online unsupervised structural plasticity rule for training it. Furthermore, to aid hardware implementations, our network employs only binary synapses. The proposed learning rule is...

Saved in:

書目詳細資料
Main Authors:	Roy, Subhrajit, Basu, Arindam
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2016
主題:	winner-take-all spike-timing-dependent plasticity
在線閱讀:	https://hdl.handle.net/10356/80901 http://hdl.handle.net/10220/41059
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Design and Study of an Artificial Spiking Neuron Enabled by Low-Voltage SiOx-based ReRAM
由: NIU XUHUA, et al.
出版: (2021)

Design of Artificial Spiking Neuron with SiO2 Memristive Synapse to Demonstrate Neuron-Level Spike Timing Dependent Plasticity
由: NIU XUHUA, et al.
出版: (2021)

An Efficient and Perceptually Motivated Auditory Neural Encoding and Decoding Algorithm for Spiking Neural Networks
由: Pan, Z., et al.
出版: (2021)

On the Non-STDP Behavior and Its Remedy in a Floating-Gate Synapse
由: Gopalakrishnan, Roshan, et al.
出版: (2016)

The optimal multi-stage contest
由: Fu, Q., et al.
出版: (2013)

A columnar competitive model for solving combinatorial optimization problems
由: Tang, H., et al.
出版: (2014)

A Low-voltage, Low power STDP Synapse implementation using Domain-Wall Magnets for Spiking Neural Networks
由: Narasimman, Govind, et al.
出版: (2019)

Learning spike time codes through supervised and unsupervised structural plasticity
由: Roy, Subhrajit
出版: (2016)

Triplet spike time dependent plasticity in a floating-gate synapse
由: Gopalakrishnan, Roshan, et al.
出版: (2016)

A MoS2 Hafnium Oxide based Ferroelectric Encoder for Temporal-Efficient Spiking Neural Network
由: Yu-Chieh Chien, et al.
出版: (2023)

Temporal Spiking Recurrent Neural Network for Action Recognition
由: Wang, W., et al.
出版: (2022)

Temporal Coding and Learning in Spiking Neural Networks
由: YU QIANG
出版: (2014)

1/f neural noise reduction and spike feature extraction using a subset of informative samples
由: Yang, Z., et al.
出版: (2014)

On neural spike sorting with mixture models
由: LI MENGXIN
出版: (2010)

Estimating the number of neurons in multi-neuronal spike trains
由: Li, M., et al.
出版: (2014)

Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits
由: Zeinolabedin, Seyed Mohammad Ali, et al.
出版: (2016)

A numerical study on iso-spiking bifurcations of some neural systems
由: CHING MENG HUI
出版: (2010)

AUDITORY INFORMATION PROCESSING USING SPIKING NEURAL NETWORKS
由: WU JIBIN
出版: (2021)

Multiclass Classification by Adaptive Network of Dendritic Neurons with Binary Synapses Using Structural Plasticity
由: Hussain, Shaista, et al.
出版: (2016)

Implementation of event-driven spiking neural networks in field programmable gate array (FPGA)
由: Yuan, Chenhao
出版: (2024)

Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning
由: Wu, Xuanyu, et al.
出版: (2023)

Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing
由: Li, G., et al.
出版: (2021)

Cognitive Learning and Memory Systems Using Spiking Neural Networks
由: HU JUN
出版: (2014)

Investigation of social and cognitive predictors in non-transition ultra-high-risk' individuals for psychosis using spiking neural networks
由: Doborjeh, Zohreh, et al.
出版: (2024)

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
由: Wu, J., et al.
出版: (2021)

A brain-inspired spiking neural network model with temporal encoding and learning
由: Yu, Q., et al.
出版: (2014)

Toward a high-performance all-plastic full battery with a single organic polymer as both cathode and anode
由: Xie, Jian, et al.
出版: (2020)

Assessment of synchrony in multiple neural spike trains using loglinear point process models
由: Kass, R.E., et al.
出版: (2014)

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network
由: Zhao, Bo, et al.
出版: (2015)

TOWARD A RUNTIME PROGRAMMABLE SPIKING NEURAL NETWORK HARDWARE ACCELERATOR WITH ON-CHIP LEARNING
由: NGUYEN NGOC NHU THAO
出版: (2023)

Intragastric administration of Lactobacillus casei expressing transmissible gastroentritis coronavirus spike glycoprotein induced specific antibody production
由: Ho, P.S., et al.
出版: (2016)

A Low-voltage, Low power STDP Synapse implementation using Domain-Wall Magnets for Spiking Neural Networks
由: Narasimman, Govind, et al.
出版: (2016)

An FPGA-Based Co-Processor for Spiking Neural Networks with On-Chip STDP-Based Learning
由: Nguyen, Thao NN, et al.
出版: (2023)

The polybasic insert, the RBD of the SARS-CoV-2 spike protein, and the feline coronavirus - evolved or yet to evolve
由: Budhraja, Anshul, et al.
出版: (2021)

Deep Learning for Epileptic Spike Detection
由: Le, Thanh Xuyen, et al.
出版: (2018)

Automatic Spike sorting and robust power line interference cancellation for neural signal processing
由: MOHAMMADREZA KESHTKARAN
出版: (2014)

An Approach of One-vs-Rest Filter Bank Common Spatial Pattern and Spiking Neural Networks for Multiple Motor Imagery Decoding
由: Wang, H., et al.
出版: (2021)

MASSIVELY PARALLEL NEURAL SIGNAL PROCESSING
由: TAM WING KIN
出版: (2017)

Screening, expression, and identification of nanobody against SARS-CoV-2 spike protein
由: Su, Qianling, et al.
出版: (2023)

Micro-spike EEG electrode and the vacuum-casting technology for mass production
由: Ng, W.C., et al.
出版: (2014)