6. ICANN 1996:
Bochum, Germany
Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff (Eds.):
Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, germany, July 16-19, 1996, Proceedings.
Lecture Notes in Computer Science 1112 Springer 1996, ISBN 3-540-61510-5
Plenary Presentations
- Hermann Kolanoski:
Application of Artificial Neural Networks in Particle Physics.
1-14

- Hans-Paul Schwefel:
Evolutionary Computation - History, Status, and Perspectives.
15

- Moshe Abeles, Y. Prut:
Temporal Structure of Cortical Activity.
16

- Ulrich Ramacher:
SEE-1 - A Vision System for Use in Real World Environments.
17

- Peter Fromherz:
Towards Integration of Nerve Cells and Silicon Devices.
18

- C. H. Anderson:
Unifying Perspectives on Neuronal Codes and Processing.
19

- David I. Perrett:
Visual Recognition Based on Coding in Temporal Cortex: Analysis of Pattern Configuration and Generalisation across Viewing Conditions without Mental Rotation.
20

Oral Presentations:
Theory
Theory 1:
Associative Memory
Theory 2:
Learning
Theory 3:
Generalization 1
Theory 4:
Generalization 2
Theory 5:
Collective Dynamics
Theory 6:
Time Series
Theory 7:
Unsupervised Learning
Theory 8:
Self-Organizing Maps
Oral Presentations:
Applications
Scientific Applications 1
Industrial Applications
Applications in Robotics
Scientific Applications 2
Image Processing Applications
Practical Applications
Oral Presentations:
Sensory Processing
Sensory Processing 1:
Classification
Sensory Processing 2:
Object Recognition
Oral Presentations:
Cognitive Science and AI
Cognitive Science and AI 1:
Perceptual Organization
Cognitive Science and AI 2:
Symbolic Processing
Oral Presentations:
Implementations
Implementations:
Tree-Shaped Architectures
Implementations:
Dynamic and Massively Parallel Networks
Oral Presentations:
Neurobiology
Neurobiology 1:
Information Coding
Neurobiology 2:
Cortical Maps
- Maximilian Riesenhuber, Hans-Ulrich Bauer, Theo Geisel:
Analyzing the Formation of Structure in High-Dimensional Self-Organizing Maps Reveals Differences to Feature Map Models.
409-414

- Klaus Pawelzik, Hans-Ulrich Bauer, Fred Wolf, Theo Geisel:
Precise Restoration of Cortical Orientation Maps Explained by Hebbian Dynamics of Geniculocortical Connections.
415-419

- Marianne Andres, Oliver Schlüter, Friederike Spengler, Hubert R. Dinse:
Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns.
421-426

- Christian Piepenbrock, Helge Ritter, Klaus Obermayer:
Cortical Map Development Driven by Spontaneous Retinal Activity Waves.
427-432

Neurobiology 3:
Motor Control
Neurobiology 4:
Temporal Processing
Poster Presentations 1
Theory 1:
Associative Memory
Theory 2:
Learning
Theory 3:
Generalization
Scientific Applications
Applications in Robotics and Industry
- Ulf Pietruschka, Rüdiger W. Brause:
Using RBF-Nets in Rubber Industry Process Control.
605-610

- Tom Ziemke:
Towards Autonomous Robot Control via Self-Adapting Recurrent Networks.
611-616

- Eric Maël:
A Hierarchial Network for Learning Robust Models of Kinematic Chains.
617-622

- Ken Yasuhara, Hanspeter A. Mallot:
Context-Based Cognitive Map Learning for an Autonomous Robot Using a Model of Cortico-Hippocampal Interplay.
623-628

- Stefan Zadel:
An Algorithm for Bootstrapping the Core of a Biologically Inspired Motor Control System.
629-634

- Vicente Ruiz de Angulo, Carme Torras:
Automatic Recalibration of a Space Robot: An Industrial Prototype.
635-640

Poster Presentations 2
Neurobiology 1:
Visual Cortex/Cerebellum
Neurobiology 2:
Cortex
Neurobiology 3:
Single Cell/Learning Rules
Image Processing Applications
Implementations
Poster Presentations 3
Theory 4:
Collective Dynamics and Time Series
Theory 5:
Self-Organizing Maps
Sensory Processing
Cognitive Science and AI
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