Helnet - International Workshop on Neural Networks: Proceedings (1994-1995) Book

1	Development of Spatio-Temporal Receptive Fields for Motion Detection in a Linsker Type Model	3
2	Annealing in Minimal Free Energy Vector Quantization	11
3	Projection Learning: A Critical Review of Practical Aspects	23
4	The Dependence on Size and Calcium Dynamics of Motoneuron Firing Properties: A Model Study	30
5	Analysis of Electronic Circuits with Evolutionary Strategies	41
6	Transforming Hard Problems into Linearly Separable ones with Incremental Radial Basis Function Networks	54
7	Aspects of Information Detection using Entropy	64
8	Why are Neural Nets not Intelligent?	69
9	The Impossibility to Localize Electrical Activity in the Brain from EEG-Recordings by Means of Artificial Neural Networks	86
10	Generating a Fractal Image by Programmed Cell Death: a Biological Communication Strategy for Parallel Computers	91
11	Neural Networks and Statistics: A Brief Overview	99
12	Exploring the Role of Emotion in the Design of Autonomous Systems	115
13	A Fusion of Game-Theory Based Learning and Projection Learning for Image Classification	126
14	Codierung eines Problems in die Sprache der Evolution	133
15	Niche memories for Temporal Sequence Processing: Learning, Recognition and Tracking Using Neural Representations	141
16	The Effects of Feature Selection on Backpropagation in Feed-Forward Neural Networks	150
17	Modelling the Wiener Cascade Using Time Delayed and Recurrent Neural Networks	160
18	The Future for Weightless Systems	169
19	Stretching the Limits of Learning Without Modules	177
20	Self-Controlling Chaos in Neuromodules: The Model and Implications for Attention	186
21	A Way to Improve Error Correction Capability of Hopfield Associative Memory in the Case of Saturation	198