1. A strong winner-take-all model based on integration of potential differences

   • Ralf Möller

   OriginalPaper Pages: 1 - 3

2. A biologically plausible neural network for motion detection

   • Ken-ichiro Miura
   • Takashi Nagano

   OriginalPaper Pages: 4 - 8

3. Growing Grid — a self-organizing network with constant neighborhood range and adaptation strength

   • Bernd Fritzke

   OriginalPaper Pages: 9 - 13

4. A neural network technique of generating empirical bivariate distribution functions

   • Shouhong Wang

   OriginalPaper Pages: 14 - 18

5. Approximation of functions by perceptrons: a new approach

   • Jean-Gabriel Attali
   • Gilles Pagès

   OriginalPaper Pages: 19 - 22

6. An adaptive geometrical procedure for blind separation of sources

   • Carlos G. Puntonet
   • Alberto Prieto

   OriginalPaper Pages: 23 - 27

7. Hebb-Hopfield neural networks based on one-dimensional sets of neuron states

   • Witali L. Dunin-Barkowski
   • Natali B. Osovets

   OriginalPaper Pages: 28 - 31