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Artificial Neural Networks - ICANN 2007

17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Joaquim Marques Sá
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  2. Luís A. Alexandre
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  3. Włodzisław Duch
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  4. Danilo Mandic
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4669)

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

Included in the following conference series:

Conference proceedings info: ICANN 2007.

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Table of contents (99 papers)

  1. Front Matter

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  2. Computational Neuroscience, Neurocognitive Studies

    1. A Marker-Based Model for the Ontogenesis of Routing Circuits

      • Philipp Wolfrum, Christoph von der Malsburg
      Pages 1-8

    2. A Neural Network for the Analysis of Multisensory Integration in the Superior Colliculus

      • Cristiano Cuppini, Elisa Magosso, Andrea Serino, Giuseppe Di Pellegrino, Mauro Ursino
      Pages 9-18

    3. Neurotransmitter Fields

      • Douglas S. Greer
      Pages 19-28

    4. SimBa: A Fuzzy Similarity-Based Modelling Framework for Large-Scale Cerebral Networks

      • Julien Erny, Josette Pastor, Henri Prade
      Pages 29-38

    5. A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task

      • Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger
      Pages 39-48

    6. Spatial and Temporal Selectivity of Hippocampal CA3 and Its Contribution to Sequence Disambiguation

      • Toshikazu Samura, Motonobu Hattori, Shun Ishizaki
      Pages 49-58

    7. Lateral and Elastic Interactions: Deriving One Form from Another

      • Valery Tereshko
      Pages 59-68

  3. Applications in Biomedicine and Bioinformatics

    1. A Survey on Use of Soft Computing Methods in Medicine

      • Ahmet Yardimci
      Pages 69-79

    2. Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes

      • Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar W. Lang, Ana Maria Tomé, Gerd Schmitz
      Pages 80-89

    3. Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping

      • Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper
      Pages 90-99

    4. Identifying Binding Sites in Sequential Genomic Data

      • Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
      Pages 100-109

    5. On the Combination of Dissimilarities for Gene Expression Data Analysis

      • Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas
      Pages 110-119

    6. A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds

      • Paris A. Mastorocostas, Dimitris N. Varsamis, Costas A. Mastorocostas, Costas S. Hilas
      Pages 120-128

    7. Learning Temporally Stable Representations from Natural Sounds: Temporal Stability as a General Objective Underlying Sensory Processing

      • Armin Duff, Reto Wyss, Paul F. M. J. Verschure
      Pages 129-138

    8. Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression

      • Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman et al.
      Pages 139-148

    9. Classifying EEG Data into Different Memory Loads Across Subjects

      • Liang Wu, Predrag Neskovic
      Pages 149-158

    10. Information Theoretic Derivations for Causality Detection: Application to Human Gait

      • Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle
      Pages 159-168

  4. Pattern Recognition

    1. Template Matching for Large Transformations

      • Julian Eggert, Chen Zhang, Edgar Körner
      Pages 169-179

    2. Fuzzy Classifiers Based on Kernel Discriminant Analysis

      • Ryota Hosokawa, Shigeo Abe
      Pages 180-189
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