The Brain & Neural Networks
Online ISSN : 1883-0455
Print ISSN : 1340-766X
ISSN-L : 1340-766X
Volume 7, Issue 4
Displaying 1-14 of 14 articles from this issue
  • Takeshi Nishida, Shuichi Kurogi
    2000 Volume 7 Issue 4 Pages 106-114
    Published: December 05, 2000
    Released on J-STAGE: January 31, 2011
    JOURNAL FREE ACCESS
    A multi-layered competitive neural network is presented for learning to achieve pattern recognition in a manner invariant to linear and/or nonlinear coordinate transformations such as projection, shift, rotation, magnification and so on. The transformed input patterns stored in the network are multiplied by the Jacobian of the transformation, an aspect shown to be essential for the transformation invariance. The network also has excellent generalization ability as has been verified by computer simulation.
    Download PDF (803K)
  • —Analysis of the Markram-Tsodyks Experiments—
    Hideyuki Koyama, Norio Fujie, Takaaki Miyazaki, Hiroko Oshima
    2000 Volume 7 Issue 4 Pages 115-120
    Published: December 05, 2000
    Released on J-STAGE: January 31, 2011
    JOURNAL FREE ACCESS
    Stochastic depression behavior of EPSPs which has been investigated experimentally by Markram and Tsodyks is analyzed using a probabilistic postsynapse model involving a 2-state receptor type and the Morris-Lecar equations. The analysis explains the depression and stationary properties of EPSPs on the basis of saturation and recovery characteristics of the receptor mechanisms. Furthermore, the “after pairing effect” is caused by changes in the receptor sensitivity, according to the present model. The model predictions with various action potential frequencies are in good agreement with the experimental results.
    Download PDF (492K)
feedback
Top