Stefan Wermter

Wlodzislaw Duch

Günther Palm

Cornelius Weber

Petia Koprinkova-Hristova

Timo Honkela

Sven Magg

Allessandro E.P. Villa

The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.

24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings

Artificial Neural Networks and Machine Learning -- ICANN 2014

Bruno Apolloni

Valeri Mladenov

Nikola K. Kasabov

Alessandro Villa

The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings

Artificial Neural Networks and Machine Learning -- ICANN 2013

Péter Érdi

Francesco Masulli

Włodzisław Duch

The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.

22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II

Artificial Neural Networks and Machine Learning -- ICANN 2012

Thom Frühwirth

Susanne Biundo

This book constitutes the refereed proceedings of the 27th Annual German Conference on Artificial Intelligence, KI 2004, held in Ulm, Germany in September 2004. The 29 revised full papers presented together with 5 invited contributions were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on natural language processing, knowledge representation and ontologies, planning and search, neural networks and machine learning, reasoning, and robotics and machine perception.

27th Annual German Conference in AI, KI 2004, Ulm, Germany, September 20-24, 2004, Proceedings

KI 2004: Advances in Artificial Intelligence

Ad. Aertsen

The present collection of papers forms the Proceedings of the First Meeting on Brain Theory, held October 1-4, 1984 at the International Centre for Theoretical Physics in Trieste, Italy. The Meeting was organized with the aim of bringing together brain theorists who are willing to put their own research in the perspective of the general development of neuroscience. Such a meeting was considered necessary since the explosion of experi mental work in neuroscience during the last decades has not been accompanied by an adequate development on the theoretical side. The intensity of the discussions during the Meeting is prob ably reflected best in the report of the organizers, reprinted here following the Preface. During the Meeting it was decided that a workshop of this kind should be repeated at regular intervals of approximately 2 years. The International Centre for Theoretical Physics in Trieste has kindly agreed to act as host for future meetings. The present Meeting was supported by grants from the In ternational Centre for Theoretical Physics and the International School for Advanced Studies in Trieste, IBM-Germany through the "Stifterverband fur die Deutsche Wissenschaft" and the Max Planck-Institute for Biological Cybernetics.

Proceedings of the First Trieste Meeting on Brain Theory, October 1–4, 1984

Brain Theory

Mark Elshaw

This state-of-the-art survey contains selected papers contributed by researchers in intelligent systems, cognitive robotics, and neuroscience including contributions from the MirrorBot project and from the NeuroBotics Workshop 2004. The research work presented demonstrates significant novel developments in biologically inspired neural models for use in intelligent robot environments and biomimetic cognitive behavior.

Intelligent Systems, Cognitive Robotics, and Neuroscience

Biomimetic Neural Learning for Intelligent Robots

Hans A. Kestler

Friedhelm Schwenker

RBF network classification of ECGs as a potential marker for sudden cardiac death

Günther Palm

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