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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
NECO
2008
129views more  NECO 2008»
13 years 8 months ago
Sparse Coding via Thresholding and Local Competition in Neural Circuits
While evidence indicates that neural systems may be employing sparse approximations to represent sensed stimuli, the mechanisms underlying this ability are not understood. We desc...
Christopher J. Rozell, Don H. Johnson, Richard G. ...
NECO
2008
134views more  NECO 2008»
13 years 8 months ago
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach
One of the central problems in cognitive science is determining the mental representations that underlie human inferences. Solutions to this problem often rely on the analysis of ...
Daniel J. Navarro, Thomas L. Griffiths
NECO
2007
110views more  NECO 2007»
13 years 8 months ago
Exact Simulation of Integrate-and-Fire Models with Exponential Currents
ll Text][Abstract] , October 1, 2007; 19 (10): 2604-2609.Neural Comput. R. Brette Exact Simulation of Integrate-and-Fire Models with Exponential Currents ll Text][Abstract] , Novem...
Romain Brette
NECO
2008
101views more  NECO 2008»
13 years 8 months ago
Rapid Convergence to Feature Layer Correspondences
ll Text][Abstract] , May 1, 2008; 99 (5): 2496-2509.J Neurophysiol T. O. Sharpee, K. D. Miller and M. P. Stryker Natural Stimuli On the Importance of Static Nonlinearity in Estimat...
Jörg Lücke, Christian Keck, Christoph vo...