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» Structural and Behavioral Evolution of Recurrent Networks
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NECO
2010
147views more  NECO 2010»
13 years 5 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...
BC
2002
193views more  BC 2002»
13 years 7 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
ATAL
2004
Springer
14 years 26 days ago
Agent-Based Peer-to-Peer Service Networks: A Study of Effectiveness and Structure Evolution
We study peer-to-peer service networks consisting of autonomous agents who seek and provide services. To fulfill its local needs, an agent attempts to discover and select informa...
Yathiraj B. Udupi, Pinar Yolum, Munindar P. Singh
TSMC
2008
162views more  TSMC 2008»
13 years 7 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
ESANN
2004
13 years 8 months ago
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
To emphasize the electrical nature of information processing in the brain we use a compartmental model of single neurons. The realistic simulation of wave-like activity in the recu...
Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, ...