References to Fukushima's Neocognitron Neural Network Model:

 [1]  Fukushima, K. Cognitron: A Self-Organizing Multi-Layered Neural Network.
      Biological Cybernetics, 20, 121-136. (1975)

 [2]  Fukushima, K. Neocognitron: A Self-Organizing Neural Network Model
      for a Mechanism of Pattern Recognition Unaffected by Shift in Position.
      Biological Cybernetics, 36(4), 193-202. (1980)

 [3]  Fukushima, K. and Miyake, S., Neocognitron: A Self-Organizing Network 
      Capable of Position-Invariant Recognition of Patterns. Proceeding of 
      the 5th International Conference on Pattern Recognition, Vol. 1, pp.
      459-461 (1980) 

 [4]* Fukushima, K. and Miyake, S., Neocognitron: A New Algorithm for Pattern 
      Recognition Tolerant of Deformations and Shift in Position. Pattern 
      Recognition, 15, pp. 455-469. (1982) 

 [5]  Fukushima, K. A Neural Network Model for Selective Attention in Visual
      Pattern Recognition. Biological Cybernetics, 55, pp. 5-15 (1986)

 [6]  Fukushima, K. A Neural Network Model for Selective Attention in Visual
      Pattern Recognition and Associative Recall. Applied Optics, 26, pp.
      4985-4992, (1987)

 [7]  Fukushima, K. A Neural Network Model for Visual Pattern Recognition. 
      IEEE Computer, 21(3), 65-73 (1988)

 [8]  Fukushima, K. Neocognitron: A Hiearchial Neural Network Capable of Visual
      Pattern Recognition. Neural Networks, 1, 119-130. (1988)

 [9]  Fukushima, K. Analysis of the Process of Visual Pattern Recognition by 
      the Neocognitron. Neural Networks, 2, 413-420. (1989)

[10]  Fukushima, K., & Wake, N. Handwritten Alphanumeric Character Recognition 
      by the Neocognitron. IEEE Trancaction on Neural Networks, 2(3), 355-365. 
      (1991)

[11]  Bernard, E., & Casasent, D. Shift Invariance and the Neocognitron. Neural
      Networks, 3, 403-410. (1990)

[12]  Menon, M. & Heinemann, K. G. (1988). Classification of Patterns Using a 
      Self_Organization Neural Network. Neural Computation, 1, 201-215. (1988)

[13]  Yamaguchi, T., & Kropatsch, W. G. Disortion-Tolerance Curve of the 
      Neocognitrion with Various Structures, including Pyramid. Proceeding of 
      the 10th International Conference on Pattern Recognition, Atlantic City, 
      New Jersey. (1990)

[14]  Hildebrant, T. H. Optimal Training of Thresholded Linear Correlation 
      Classifiers. IEEE Transaction on Neural Networks, 2(6), 577-588. (1991)

[15]  Lovell, D., R., & Tsoi, A., C. The Performance of the Neocognitron with 
      Various S-Cell and C-Cell Transfer Functions. Submitted (accepted?) to 
      IEEE Transaction on Neural Networks. (1992)

  *   The NeoC Explorer Version 1.0 is based on [4].