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NIPS
2008
15 years 1 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
JCNS
2010
121views more  JCNS 2010»
14 years 6 months ago
Pattern orthogonalization via channel decorrelation by adaptive networks
The early processing of sensory information by neuronal circuits often includes a reshaping of activity patterns that may facilitate the further processing of stimulus representat...
Stuart D. Wick, Martin T. Wiechert, Rainer W. Frie...
JSAC
2008
86views more  JSAC 2008»
14 years 11 months ago
Distributed function calculation and consensus using linear iterative strategies
Given an arbitrary network of interconnected nodes, we develop and analyze a distributed strategy that enables a subset of the nodes to calculate any given function of the node val...
Shreyas Sundaram, Christoforos N. Hadjicostis
113
Voted
SBRN
2000
IEEE
15 years 4 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
15 years 6 months ago
Object dynamics prediction and motion generation based on reliable predictability
— Consistency of object dynamics, which is related to reliable predictability, is an important factor for generating object manipulation motions. This paper proposes a technique ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...