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Artificial Neural Networks and Machine Learning – ICANN 2016

25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Alessandro E.P. Villa

    1. University of Lausanne, Lausanne, Switzerland

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  2. Paolo Masulli

    1. University of Lausanne, Lausanne, Switzerland

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  3. Antonio Javier Pons Rivero

    1. Universitat Politécnica de Catalunya, Terrrassa, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9886)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICANN 2016.

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Table of contents (60 papers)

  1. Front Matter

    Pages I-XXIX
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  2. From Neurons to Networks

    1. Front Matter

      Pages 1-1
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    2. Improved Chaotic Multidirectional Associative Memory

      • Hiroki Sato, Yuko Osana
      Pages 3-10

    3. Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition

      • Nobuhiro Hinakawa, Katsunori Kitano
      Pages 11-18

    4. Asymmetries in Synaptic Connections and the Nonlinear Fokker-Planck Formalism

      • Roseli S. Wedemann, Angel R. Plastino
      Pages 19-27

    5. Synaptogenesis: Constraining Synaptic Plasticity Based on a Distance Rule

      • Jordi-Ysard Puigbò, Joeri van Wijngaarden, Sock Ching Low, Paul F. M. J. Verschure
      Pages 28-35

    6. A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker

      • Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Ricardo Tapiador-Morales, Manuel Dominguez-Morales, Angel Jimenez-Fernandez, Alejandro Linares-Barranco
      Pages 36-44

    7. Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker

      • Juan Pedro Dominguez-Morales, Angel Jimenez-Fernandez, Antonio Rios-Navarro, Elena Cerezuela-Escudero, Daniel Gutierrez-Galan, Manuel J. Dominguez-Morales et al.
      Pages 45-53

    8. Input-Modulation as an Alternative to Conventional Learning Strategies

      • Esin Yavuz, Thomas Nowotny
      Pages 54-62

    9. A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina

      • Kanako Taniguchi, Chieko Koike, Katsunori Kitano
      Pages 63-71

    10. Striatal Processing of Cortical Neuronal Avalanches – A Computational Investigation

      • Jovana J. Belić, Jeanette Hellgren Kotaleski
      Pages 72-79

  3. Networks and Dynamics

    1. Front Matter

      Pages 81-81
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    2. Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients

      • Gregory Zegarek, Xerxes D. Arsiwalla, David Dalmazzo, Paul F. M. J. Verschure
      Pages 83-90

    3. Method for Estimating Neural Network Topology Based on SPIKE-Distance

      • Kaori Kuroda, Mikio Hasegawa
      Pages 91-98

    4. Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants

      • Paolo Masulli, Alessandro E. P. Villa
      Pages 99-106

    5. Scaling Properties of Human Brain Functional Networks

      • Riccardo Zucca, Xerxes D. Arsiwalla, Hoang Le, Mikail Rubinov, Paul F. M. J. Verschure
      Pages 107-114

    6. Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks

      • Jérémie Cabessa, Alessandro E. P. Villa
      Pages 115-122

    7. Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm

      • Michalis Agathocleous, Chris Christodoulou, Vasilis Promponas, Petros Kountouris, Vassilis Vassiliades
      Pages 123-131

    8. Learning Multiple Timescales in Recurrent Neural Networks

      • Tayfun Alpay, Stefan Heinrich, Stefan Wermter
      Pages 132-139

    9. Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design

      • Alexander Dörr, Sebastian Otte, Andreas Zell
      Pages 140-148
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Other volumes

  1. Artificial Neural Networks and Machine Learning – ICANN 2016

  2. Artificial Neural Networks and Machine Learning – ICANN 2016

Keywords

About this book

The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016.
The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume. 

Editors and Affiliations

  • University of Lausanne, Lausanne, Switzerland

    Alessandro E.P. Villa, Paolo Masulli

  • Universitat Politécnica de Catalunya, Terrrassa, Spain

    Antonio Javier Pons Rivero

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