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A review of learning in biologically plausible spiking neural networks

Neural networks, 2020-02, Vol.122, p.253-272

2020

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Forecasting price movements using technical indicators: Investigating the impact of varying input window length

Neurocomputing (Amsterdam), 2017-11, Vol.264, p.71-88

2017

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Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

IEEE transactions on fuzzy systems, 2006-12, Vol.14 (6), p.755-766

2006

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AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

Neurocomputing (Amsterdam), 2020-09, Vol.404, p.351-366

2020

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A time-series prediction approach for feature extraction in a brain-computer interface

IEEE transactions on neural systems and rehabilitation engineering, 2005-12, Vol.13 (4), p.461-467

2005

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Intelligent User Support in Autonomous Remote Experimentation Environments

IEEE transactions on industrial electronics (1982), 2008-06, Vol.55 (6), p.2355-2367

2008

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Human vital sign determination using tactile sensing and fuzzy triage system

Expert systems with applications, 2021-08, Vol.175, p.114781, Article 114781

2021

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Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning

Decision Support Systems, 2016-05, Vol.85, p.74-83

2016

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A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches

IEEE transactions on knowledge and data engineering, 2007-01, Vol.19 (1), p.17-28

2007

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Intrinsically motivated learning systems based on biologically-inspired novelty detection

Robotics and autonomous systems, 2015-06, Vol.68, p.12-20, Article 12

2015

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Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies

2022 International Joint Conference on Neural Networks (IJCNN), 2022, p.1-7

2022

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364 Unexpected side-effects of a clinical trial

Journal of cystic fibrosis, 2011, Vol.10, p.S93-S93

2011

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A Multi-recurrent Network for Crude Oil Price Prediction

2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, p.2940-2945

2019

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Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification

IEEE transactions on neural systems and rehabilitation engineering, 2008-08, Vol.16 (4), p.317-326

2008

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NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector

ACM transactions on reconfigurable technology and systems, 2023-09, Vol.16 (3), p.1-23

2023

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The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing

Procedia computer science, 2023, Vol.222, p.488-498

2023

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A biologically inspired spiking model of visual processing for image feature detection

Neurocomputing (Amsterdam), 2015-06, Vol.158, p.268-280

2015

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DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-6

2021

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Towards Personalised Mental Wellbeing Recognition On-Device using Transfer Learning "in the Wild"

2021 IEEE International Smart Cities Conference (ISC2), 2021, p.1-7

2021

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Emulation of chemical stimulus triggered head movement in the C. elegans nematode

Neurocomputing (Amsterdam), 2018-05, Vol.290, p.60-73

2018

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Challenges for large-scale implementations of spiking neural networks on FPGAs

Neurocomputing (Amsterdam), 2007-12, Vol.71 (1), p.13-29

2007

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A visual attention model based on hierarchical spiking neural networks

Neurocomputing (Amsterdam), 2013-09, Vol.116, p.3-12

2013

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Automatically composing and parameterizing skills by evolving Finite State Automata

Robotics and autonomous systems, 2012-04, Vol.60 (4), p.639-650

2012

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Kinematic control of a redundant manipulator using an inverse-forward adaptive scheme with a KSOM based hint generator

Robotics and autonomous systems, 2010-05, Vol.58 (5), p.622-633

2010

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Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain-Computer Interface

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2009-12, Vol.39 (6), p.1458-1471

2009

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A review of learning in biologically plausible spiking neural networks

Forecasting price movements using technical indicators: Investigating the impact of varying input window length

Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

A time-series prediction approach for feature extraction in a brain-computer interface

Intelligent User Support in Autonomous Remote Experimentation Environments

Human vital sign determination using tactile sensing and fuzzy triage system

Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning

A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches

Intrinsically motivated learning systems based on biologically-inspired novelty detection

Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies

364 Unexpected side-effects of a clinical trial

A Multi-recurrent Network for Crude Oil Price Prediction

Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification

NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector

The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing

A biologically inspired spiking model of visual processing for image feature detection

DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification

Towards Personalised Mental Wellbeing Recognition On-Device using Transfer Learning "in the Wild"

Emulation of chemical stimulus triggered head movement in the C. elegans nematode

Challenges for large-scale implementations of spiking neural networks on FPGAs

A visual attention model based on hierarchical spiking neural networks

Automatically composing and parameterizing skills by evolving Finite State Automata

Kinematic control of a redundant manipulator using an inverse-forward adaptive scheme with a KSOM based hint generator

Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain-Computer Interface

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