Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science
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9783030304867, 9783030304874

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An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_55 ◽

2019 ◽

pp. 718-723

Author(s):

Yuki Tamura ◽

Satoshi Moriya ◽

Tatsuki Kato ◽

Masao Sakuraba ◽

Yoshihiko Horio ◽

...

Keyword(s):

Low Voltage ◽

Model Neuron ◽

Low Voltage Operation ◽

Izhikevich Model

Training Delays in Spiking Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_54 ◽

2019 ◽

pp. 713-717

Author(s):

Laura State ◽

Pau Vilimelis Aceituno

Keyword(s):

Neural Networks ◽

Spiking Neural Networks

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_49 ◽

2019 ◽

pp. 639-653

Author(s):

Martin V. Butz ◽

Tobias Menge ◽

Dania Humaidan ◽

Sebastian Otte

FMNet: Multi-agent Cooperation by Communicating with Featured Message Network

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_48 ◽

2019 ◽

pp. 624-635

Author(s):

Jiheng Jiang ◽

Shuangjiu Xiao ◽

Linling Xun

Keyword(s):

Multi Agent ◽

Agent Cooperation

Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_42 ◽

2019 ◽

pp. 541-554

Author(s):

Yuki Miyashita ◽

Toshiharu Sugawara

Keyword(s):

Q Learning ◽

Multi Agent

A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_41 ◽

2019 ◽

pp. 529-540

Author(s):

Nobuhito Manome ◽

Shuji Shinohara ◽

Kouta Suzuki ◽

Kosuke Tomonaga ◽

Shunji Mitsuyoshi

Keyword(s):

Self Organizing Maps ◽

Self Organizing

Linear Memory Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_40 ◽

2019 ◽

pp. 513-525

Author(s):

Davide Bacciu ◽

Antonio Carta ◽

Alessandro Sperduti

Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_36 ◽

2019 ◽

pp. 458-470

Author(s):

Nasrulloh R. B. S. Loka ◽

Muthusubash Kavitha ◽

Takio Kurita

Keyword(s):

Neural Network ◽

Convolutional Neural Network

Probabilistic Bounds for Approximation by Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_33 ◽

2019 ◽

pp. 418-428

Author(s):

Věra Kůrková

Keyword(s):

Neural Networks

Counting with Analog Neurons

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30487-4_31 ◽

2019 ◽

pp. 389-400 ◽

Cited By ~ 1

Author(s):

Jiří Šíma

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation

Training Delays in Spiking Neural Networks

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE

FMNet: Multi-agent Cooperation by Communicating with Featured Message Network

Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions

A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps

Linear Memory Networks

Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data

Probabilistic Bounds for Approximation by Neural Networks

Counting with Analog Neurons

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - Lecture Notes in Computer Science
Latest Publications