The Handbook of Brain Theory and Neural Networks: Second Edition
By Michael A. Arbib. 2002
63 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yoshua Bengio
- David M. Blei
- Sergey Levine
- Matthew D. Hoffman
- Ruslan Salakhutdinov
- Zhe Gan
- Trevor Darrell
- Li Fei-Fei
Citations in the corpus
- Balanced amplification: a new mechanism of selective amplification of neural activity patterns (2009, unknown): “Existing models of selective amplification are ‘‘Hebbianassembly’’ models, in which the neurons with similar activity (above or below baseline) in an amplified pattern tend to excite one another while those with opposite activity may tend to inhibit one another, so that the pattern reproduces itself”
- Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting (2002, background): “as a linear combination of the covariance between the new and the training points (as suggested in [12]), with our choice of covariance function, the calculation of ' then involves the product of two Gaussian functions: ) 6 7 687 9 ) 6 / 9 6 (10) with + " .”
- Ultra-rapid object detection with saccadic eye movements: visual processing speed revisited. (2006, background): “The speed of this visual processing can be assessed both by behavioural and neuromagnetic measurements (Thorpe & Fabre-Thorpe, 2002; Thorpe et al., 1996).”
- Online Learning for Latent Dirichlet Allocation (2010, methodology): “Although there is no explicit gradient computation, algorithm 2 can be interpreted as a stochastic natural gradient algorithm [16] [15].”