Neural Information Processing

1. Front Matter

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2. Computational Neuroscience

   1. Neurobiological Foundation for the Meaning of Information

      • Walter J. Freeman

      Pages 1-9

   2. Neural Information Processing Efforts to Restore Vision in the Blind

      • Rolf Eckmiller, Oliver Baruth, Dirk Neumann

      Pages 10-18

   3. Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons

      • Katsuki Katayama, Masafumi Yano, Tsuyoshi Horiguchi

      Pages 19-30

   4. Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density

      • Shuichi Kato, Seiichi Sakatani, Akira Hirose

      Pages 31-36

   5. Memory Modification Induced by Pattern Completion and STDP in Hippocampal CA3 Model

      • Toshikazu Samura, Motonobu Hattori

      Pages 37-43

   6. Neural Mechanism of Binding ITD Information with IID One for Generating Brain Map of Sound Localization

      • Kazuhisa Fujita, ShungQuang Huang, Yoshiki Kashimori, Takeshi Kambara

      Pages 44-49

   7. The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential

      • Seiichi Sakatani, Akira Hirose

      Pages 50-56

   8. A Model That Captures Receptive Field Properties of Orientation Selective Neurons in the Visual Cortex

      • Basabi Bhaumik, Alok Agarwal, Mona Mathur, Manish Manohar

      Pages 57-63

   9. Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions

      • Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer

      Pages 64-69

   10. The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning

       • Sridharan Devarajan, P. S. Prashanth, V. S. Chakravarthy

       Pages 70-77

   11. A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat

       • Kazuhisa Fujita, Eigo Kamata, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara

       Pages 78-83

   12. Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model

       • Mona Mathur, Basabi Bhaumik

       Pages 84-89

   13. The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning

       • Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer

       Pages 90-95

   14. Stochastic Resonance Imaging – Stochastic Resonance Therapy: Preliminary Studies Considering Brain as Stochastic Processor

       • Prasun Kumar Roy

       Pages 96-103

3. Complex-Valued Neural Networks

   1. Ultra-wideband Beamforming by Using a Complex-Valued Spatio-temporal Neural Network

      • Andriyan B. Suksmono, Akira Hirose

      Pages 104-109

   2. A Model of Hopfield-Type Quaternion Neural Networks and Its Energy Function

      • Mitsuo Yoshida, Yasuaki Kuroe, Takehiro Mori

      Pages 110-115

   3. Mode-Utilizing Developmental Learning Based on Coherent Neural Networks

      • Akira Hirose, Yasufumi Asano, Toshihiko Hamano

      Pages 116-121

   4. Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System

      • Ikuko Nishikawa, Yasuaki Kuroe

      Pages 122-129

   5. Two Models for Theta Precession Generation Using the Complex Version of the Nagumo-Sato Neuron Model and the Hodgkin-Huxley Equations

      • Iku Nemoto

      Pages 130-135

It is our great pleasure to welcome you to the 11th International Conference on Neural Information Processing (ICONIP 2004) to be held in Calcutta. ICONIP 2004 is organized jointly by the Indian Statistical Institute (ISI) and Jadavpur University (JU). We are con?dent that ICONIP 2004, like the previous conf- ences in this series,will providea forum for fruitful interactionandthe exchange of ideas between the participants coming from all parts of the globe. ICONIP 2004 covers all major facets of computational intelligence, but, of course, with a primary emphasis on neural networks. We are sure that this meeting will be enjoyable academically and otherwise. We are thankful to the track chairs and the reviewers for extending their support in various forms to make a sound technical program. Except for a few cases, where we could get only two review reports, each submitted paper was reviewed by at least three referees, and in some cases the revised versions were againcheckedbythereferees. Wehad470submissionsanditwasnotaneasytask for us to select papers for a four-day conference. Because of the limited duration of the conference, based on the review reports we selected only about 40% of the contributed papers. Consequently, it is possible that some good papers are left out. We again express our sincere thanks to all referees for accomplishing a great job. In addition to 186 contributed papers, the proceedings includes two plenary presentations, four invited talks and 18 papers in four special sessions. The proceedings is organized into 26 coherent topical groups.

• adaption
• algorithmic learning
• artificial intelligence
• artificial neural networks
• cognitive science
• evolutionary computing
• fuzzy logic
• fuzzy system
• kernel methods
• neural computing
• neuro-fuzzy systems
• neuroinformatics
• neuroscience
• soft computing
• support vector machine
• algorithm analysis and problem complexity

• Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

  Nikhil Ranjan Pal

• School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Auckland, New Zealand

  Nik Kasabov

• Department of Instrumentation and Electronics Engineering, Jadavpur University, Calcutta, India

  Rajani K. Mudi

• Indian Statistical Institute, Calcutta,  

  Srimanta Pal

• Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, Kolkata, India

  Swapan Kumar Parui

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