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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 |
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