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First-Spike-Based Visual Categorization Using Reward-Modulated STDP

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.6178-6190

2018

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Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

Scientific reports, 2016-09, Vol.6 (1), p.32672-32672, Article 32672

2016

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SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Frontiers in neuroscience, 2019-07, Vol.13, p.625-625

2019

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On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks

Scientific reports, 2024-01, Vol.14 (1), p.1945-1945, Article 1945

2024

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Evolutionary solution for the RNA design problem

Bioinformatics, 2014-05, Vol.30 (9), p.1250-1258

2014

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Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch

Frontiers in neuroinformatics, 2024-02, Vol.18, p.1331220-1331220

2024

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Evolutionary Algorithm for RNA Secondary Structure Prediction Based on Simulated SHAPE Data

PloS one, 2016-11, Vol.11 (11), p.e0166965-e0166965

2016

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Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks

Neural computation, 2024-06, p.1-21

2024

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Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer

Frontiers in psychology, 2017-07, Vol.8, p.1261-1261

2017

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STDP-based spiking deep convolutional neural networks for object recognition

Neural networks, 2018-03, Vol.99, p.56-67

2018

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Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder

Frontiers in computational neuroscience, 2016-08, Vol.10, p.92-92

2016

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An evidence-based combining classifier for brain signal analysis

PloS one, 2014-01, Vol.9 (1), p.e84341-e84341

2014

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Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

Pattern recognition, 2019-10, Vol.94, p.87-95

2019

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An Analytical RNA Secondary Structure Benchmark for the RNA Inverse Folding Problem

Current bioinformatics, 2016-11, Vol.11 (5), p.571-577

2016

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ERD: a fast and reliable tool for RNA design including constraints

BMC bioinformatics, 2015-01, Vol.16 (1), p.20-20, Article 20

2015

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Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition

Neurocomputing (Amsterdam), 2016-09, Vol.205, p.382-392

2016

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Meta-learning in spiking neural networks with reward-modulated STDP

Neurocomputing (Amsterdam), 2024-10, Vol.600, p.128173, Article 128173

2024

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A fast algorithm for the partial digest problem

Japan journal of industrial and applied mathematics, 2011-08, Vol.28 (2), p.315-325

2011

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Top-Down modulated model for object recognition in different categorization levels

International journal of bio-inspired computation, 2020, Vol.1 (1), p.1

2020

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Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources

BMC bioinformatics, 2017-01, Vol.18 (1), p.10-10, Article 10

2017

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Evaluating the quality of SHAPE data simulated by k-mers for RNA structure prediction

Journal of bioinformatics and computational biology, 2017-12, Vol.15 (6), p.1750023

2017

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Using temperature effects to predict the interactions between two RNAs

Journal of theoretical biology, 2015-01, Vol.364, p.98-102

2015

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Top-down modulated model for object recognition in different categorisation levels

International journal of bio-inspired computation, 2021, Vol.18 (1), p.13

2021

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Mixture of feature specified experts

Information fusion, 2014-11, Vol.20, p.242-251

2014

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Relation Between RNA Sequences, Structures, and Shapes via VariationNetworks

Iranian journal of biotechnology, 2014-09, Vol.12 (3), p.57-70

2014

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First-Spike-Based Visual Categorization Using Reward-Modulated STDP

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks

Evolutionary solution for the RNA design problem

Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch

Evolutionary Algorithm for RNA Secondary Structure Prediction Based on Simulated SHAPE Data

Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks

Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer

STDP-based spiking deep convolutional neural networks for object recognition

Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder

An evidence-based combining classifier for brain signal analysis

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

An Analytical RNA Secondary Structure Benchmark for the RNA Inverse Folding Problem

ERD: a fast and reliable tool for RNA design including constraints

Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition

Meta-learning in spiking neural networks with reward-modulated STDP

A fast algorithm for the partial digest problem

Top-Down modulated model for object recognition in different categorization levels

Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources

Evaluating the quality of SHAPE data simulated by k-mers for RNA structure prediction

Using temperature effects to predict the interactions between two RNAs

Top-down modulated model for object recognition in different categorisation levels

Mixture of feature specified experts

Relation Between RNA Sequences, Structures, and Shapes via VariationNetworks

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