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» Nonlinear predictive control based on neural multi-models
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NIPS
2007
14 years 11 months ago
Inferring Elapsed Time from Stochastic Neural Processes
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
Misha Ahrens, Maneesh Sahani
ENGL
2007
141views more  ENGL 2007»
14 years 10 months ago
A Novel Multi-Agent Controller for Dynamic Systems based on Supervisory Loop Approach
— This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous ...
Sukumar Kamalasadan
IDEAL
2004
Springer
15 years 3 months ago
Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...
Zeshan Kurd, Tim P. Kelly, Jim Austin
ETS
2006
IEEE
100views Hardware» more  ETS 2006»
15 years 4 months ago
Optimized Signature-Based Statistical Alternate Test for Mixed-Signal Performance Parameters
— Accurate generation of circuit specifications from test signatures is a difficult problem, since analytical expressions cannot precisely describe the nonlinear relationships ...
Byoungho Kim, Hongjoong Shin, Ji Hwan (Paul) Chun,...
ISBMS
2010
Springer
15 years 4 months ago
Biomechanical Simulation of Human Eye Movement
Understanding the neural control and mechanics of human eye movement has significant implications for treating vision disorders. A computational model incorporating physiological ...
Qi Wei, Shinjiro Sueda, Dinesh K. Pai