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» Neural Networks and Complexity Theory
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NECO
2010
147views more  NECO 2010»
15 years 2 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...
COLT
2006
Springer
15 years 8 months ago
Efficient Learning Algorithms Yield Circuit Lower Bounds
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
Lance Fortnow, Adam R. Klivans
DAGSTUHL
2008
15 years 5 months ago
The Grand Challenges and Myths of Neural-Symbolic Computation
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
Luís C. Lamb
ESANN
2004
15 years 5 months ago
Neural dynamics for task-oriented grouping of communicating agents
Abstract. Many real world problems are given in the form of multiple measurements comprising local descriptions or tasks. We propose that a dynamical organization of a population o...
Jochen J. Steil
IJON
2007
114views more  IJON 2007»
15 years 4 months ago
A cell assembly model for complex behaviour
Hebbian cell assemblies have been proposed as a model for cortical processing able to bridge between physiology and psychology. Assembly-based theories focused mainly on represent...
Thomas Wennekers