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» Using Neural Nets to Estimate Evolutionary Parameters
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NECO
2008
111views more  NECO 2008»
13 years 8 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
FLAIRS
2004
13 years 9 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
IJON
2006
76views more  IJON 2006»
13 years 8 months ago
Evolving networks of integrate-and-fire neurons
This paper addresses the following question: ``What neural circuits can emulate the monosynaptic correlogram generated by a direct connection between two neurons?'' The ...
Francisco J. Veredas, Francisco J. Vico, Jos&eacut...
IROS
2006
IEEE
97views Robotics» more  IROS 2006»
14 years 2 months ago
A New Method of Force Control for Unknown Environments
–We propose a new control technique for force control on unknown environments. In particular, the proposed approach overcomes the need for precise estimation of environment param...
Vishnu Mallapragada, Duygun Erol, Nilanjan Sarkar
ICML
2006
IEEE
14 years 9 months ago
Using query-specific variance estimates to combine Bayesian classifiers
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
Chi-Hoon Lee, Russell Greiner, Shaojun Wang