A spiking neural network architecture for nonlinear function approximation

Neural Networks ◽

10.1016/s0893-6080(01)00080-6 ◽

2001 ◽

Vol 14 (6-7) ◽

pp. 933-939 ◽

Author(s):

Nicolangelo Iannella ◽

Andrew D. Back

Keyword(s):

Neural Network ◽

Network Architecture ◽

Function Approximation ◽

Nonlinear Function ◽

Spiking Neural Network ◽

Neural Network Architecture ◽

Nonlinear Function Approximation

Download Full-text

A spiking neural network architecture for nonlinear function approximation

Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468) ◽

10.1109/nnsp.1999.788132 ◽

2003 ◽

Author(s):

N. Iannella ◽

A. Back

Keyword(s):

Neural Network ◽

Network Architecture ◽

Function Approximation ◽

Nonlinear Function ◽

Spiking Neural Network ◽

Neural Network Architecture ◽

Nonlinear Function Approximation

Download Full-text

A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer’s Disease EEG Data

Advances in Neural Networks: Computational and Theoretical Issues - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-319-18164-6_16 ◽

2015 ◽

pp. 159-172 ◽

Author(s):

Elisa Capecci ◽

Francesco Carlo Morabito ◽

Maurizio Campolo ◽

Nadia Mammone ◽

Domenico Labate ◽

...

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Feasibility Study ◽

Network Architecture ◽

Spiking Neural Network ◽

Neural Network Architecture ◽

Download Full-text

A Spiking Neural Network Architecture for Object Tracking

Lecture Notes in Computer Science - Image and Graphics ◽

10.1007/978-3-030-34120-6_10 ◽

2019 ◽

pp. 118-132

Author(s):

Yihao Luo ◽

Quanzheng Yi ◽

Tianjiang Wang ◽

Ling Lin ◽

Yan Xu ◽

...

Keyword(s):

Neural Network ◽

Object Tracking ◽

Network Architecture ◽

Spiking Neural Network ◽

Neural Network Architecture

Download Full-text

Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture

Scientific Reports ◽

10.1038/s41598-018-27169-8 ◽

2018 ◽

Vol 8 (1) ◽

Author(s):

Zohreh Gholami Doborjeh ◽

Nikola Kasabov ◽

Maryam Gholami Doborjeh ◽

Alexander Sumich

Keyword(s):

Neural Network ◽

Deep Learning ◽

Network Architecture ◽

Spiking Neural Network ◽

Neural Network Architecture

Download Full-text

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation

Faraday Discussions ◽

10.1039/c8fd00114f ◽

2019 ◽

Vol 213 ◽

pp. 487-510 ◽

Author(s):

Melika Payvand ◽

Manu V. Nair ◽

Lorenz K. Müller ◽

Giacomo Indiveri

Keyword(s):

Neural Network ◽

Network Architecture ◽

Systems Approach ◽

Spiking Neural Network ◽

Neural Network Architecture ◽

Mixed Signal ◽

Neuromorphic Systems

In this paper, we present a spiking neural network architecture that supports the use of non-ideal memristive devices as synaptic elements and propose mixed-signal analog-digital interfacing circuits to mitigate/exploit such non-idealities for neuromorphic computation.

Download Full-text

Verification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation

International Journal of Engineering ◽

10.5829/idosi.ije.2015.28.10a.04 ◽

2015 ◽

Vol 28 (10 (A)) ◽

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Function Approximation ◽

Nonlinear Function ◽

Wavelet Neural Network ◽

Nonlinear Function Approximation

Download Full-text

Spiking Neural Network Architecture

Computer ◽

10.1109/mc.2015.293 ◽

2015 ◽

Vol 48 (10) ◽

pp. 6-6 ◽

Author(s):

Paolo Montuschi

Keyword(s):

Neural Network ◽

Network Architecture ◽

Spiking Neural Network ◽

Neural Network Architecture

Download Full-text

IT2CFNN: An interval type-2 correlation-aware fuzzy neural network to construct non-separable fuzzy rules with uncertain and adaptive shapes for nonlinear function approximation

Applied Soft Computing ◽

10.1016/j.asoc.2021.108258 ◽

2021 ◽

pp. 108258

Author(s):

Armin Salimi-Badr

Keyword(s):

Neural Network ◽

Function Approximation ◽

Fuzzy Neural Network ◽

Nonlinear Function ◽

Fuzzy Rules ◽

Fuzzy Neural ◽

Interval Type ◽

Nonlinear Function Approximation

Download Full-text

Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task

IEEE Journal on Emerging and Selected Topics in Circuits and Systems ◽

10.1109/jetcas.2020.3031040 ◽

2020 ◽

Vol 10 (4) ◽

pp. 498-511

Author(s):

Hajar Asgari ◽

Babak Mazloom-Nezhad Maybodi ◽

Raphaela Kreiser ◽

Yulia Sandamirskaya

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Network Architecture ◽

Spiking Neural Network ◽

Neural Network Architecture ◽

Context Dependent

Download Full-text

Simplified spiking neural network architecture and STDP learning algorithm applied to image classification

EURASIP Journal on Image and Video Processing ◽

10.1186/s13640-015-0059-4 ◽

2015 ◽

Vol 2015 (1) ◽

Author(s):

Taras Iakymchuk ◽

Alfredo Rosado-Muñoz ◽

Juan F Guerrero-Martínez ◽

Manuel Bataller-Mompeán ◽

Jose V Francés-Víllora

Keyword(s):

Neural Network ◽

Image Classification ◽

Network Architecture ◽

Learning Algorithm ◽

Spiking Neural Network ◽

Neural Network Architecture

Download Full-text