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NN
2007
Springer
13 years 9 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass
IJON
2002
154views more  IJON 2002»
13 years 9 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
PUC
2008
106views more  PUC 2008»
13 years 9 months ago
Investigating five key predictive text entry with combined distance and keystroke modelling
This paper investigates text entry on mobile devices using only five-key. Primarily to support text entry on smaller devices than mobile phones, this method can also be used to max...
Mark D. Dunlop, Michelle Montgomery Masters
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
13 years 7 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
IJRR
2010
173views more  IJRR 2010»
13 years 8 months ago
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions
Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great importance to the oceanographic research community because automated data collection is b...
Ryan N. Smith, Yi Chao, Peggy Li, David A. Caron, ...