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» Explanation-Based Neural Network Learning for Robot Control
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CORR
2006
Springer
111views Education» more  CORR 2006»
14 years 11 months ago
An associative memory for the on-line recognition and prediction of temporal sequences
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
104
Voted
GECCO
2003
Springer
158views Optimization» more  GECCO 2003»
15 years 4 months ago
Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
John C. Gallagher, Saranyan Vigraham
EVOW
2010
Springer
15 years 6 months ago
Learning to Dance through Interactive Evolution
A relatively rare application of artificial intelligence at the nexus of art and music is dance. The impulse shared by all humans to express ourselves through dance represents a u...
Greg A. Dubbin, Kenneth O. Stanley
ICANN
2010
Springer
14 years 9 months ago
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
Vassilis Cutsuridis, Michael E. Hasselmo
90
Voted
JIFS
2007
102views more  JIFS 2007»
14 years 11 months ago
Knowledge propagation in a distributed omnidirectional vision system
In this paper an omnidirectional Distributed Vision System (DVS) is presented. The presented DVS is able to learn to navigate a mobile robot in its working environment without any...
Emanuele Menegatti, C. Simionato, Stefano Tonello,...