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Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.
www.science.mcmaster.ca
Graphical models, variational methods, machine learning, reasoning under uncertainty.
www.cs.berkeley.edu
Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations.
www.salk.edu
Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.
www.cs.toronto.edu
Visual perception, machine vision, image processing.
www-bcs.mit.edu
Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
www.gatsby.ucl.ac.uk
Visual perception with neural networks.
www.cs.rochester.edu
Sensorimotor control, unsupervised learning, probabilistic machine learning.
www.gatsby.ucl.ac.uk
Graphical models, variational methods, kernel methods.
www.ai.mit.edu
Graphical models, belief propagation.
www.cs.auc.dk
Neural networks and VLSI hardware.
www.ee.ed.ac.uk
Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.
www.cis.hut.fi
Online learning, machine learning, learning dynamics.
www.cse.ogi.edu
Computer vision, computational olfaction.
www.comp.nus.edu.sg
Non-linear neural dynamics, visual segmentation, sensory processing.
www.gatsby.ucl.ac.uk