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Prof. Amari's Selected Papers  These are collections of papers written by Prof. Amari related to the mathematical aspects of brain science. These collections include the earliest works of Prof. Amari during the time when ANN theories were still in its infancy up to his recent works. As one of the pioneers in the field of ANN, reading Prof. Amari's list of papers will provide valuable information and insights into the historical development of ANN and its future directions.

Realization of a neural network model neocognitron on a hypercube parallel computer  Ito Takayuki , Fukushima Kunihiko , Miyake Sei Journal of High Speed Computing 1990 ;2 (1) :1-16

Recognition and segmentation of connected characters with selective attention  Fukushima Kunihiko , Imagawa Taro Neural Networks 1993 ;6 (1) :33-41

Recognition and Segmentation of Connected Characters with Selective Attention --- Demonstration on SUN workstation  Fukushima Kunihiko

Restoring partly occluded patterns: a neural network model.  Fukushima K Neural networks : the official journal of the International Neural Network Society 2005 ;18 (1) :33-43 [PMID: 15649660]

Roles of visual experience and intrinsic mechanism in the activity-dependent self-organization of orientation maps: theory and experiment  Shigeru Tanaka , Masanobu Miyashita , Jerome Ribot Neural Networks 2004 ;17 (8) :1363-1375 [PMID: 15555871]

Selective Attention Model on SUN workstation  Fukushima Kunihiko

Self-organization of geniculo-cortical inputs  TANAKA Shigeru . MIYASHITA Masanobu

Self-organization of orientation sensitive cells in the striate cortex.  von der Malsburg C Kybernetik 1973 ;14 (2) :85-100 [PMID: 4786750]

Self-organizing neural network model of motion processing in the visual cortex during smooth pursuit.  Furman M , Gur M Vision Res 2003 ;43 (20) :2155-71 [PMID: 12855251]

Shinkeikairo to Johoshori , (written in Japanese) (Neural Networks and Information Processing)  Fukushima Kunihiko

Spatial phase properties of simple cells and their related cortical columns in the primary visual cortex: Model study.  Miyashita M. , Tanaka S. Neuroscience Research (Suppl.) 2000 ;24 :S72

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems  Peter Dayan . L.F. Abbott

Topographic independent component analysis.  Hyvarinen A , Hoyer PO , Inki M Neural Comput 2001 ;13 (7) :1527-58 [PMID: 11440596]

Use of different thresholds in learning and recognition  Fukushima Kunihiko , Tanigawa Masashi Neurocomputing 1996 ;11 (1) :1-17

What is a role of visual experience for the development of cortical receptive fields and columns? -Theoretical study-  M. Miyashita , S. Tanaka Neuroscience Research (suppl.) 1999 ;23 :S218