Neural networks and VLSI hardware.
Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.
Graphical models, variational methods, machine learning, reasoning under uncertainty.
Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations.
Theory of computation, computation in spiking neurons.
Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.
Visual perception, machine vision, image processing.
Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
Visual perception with neural networks.
Bayesian perception, computer vision, image processing.