current research areas

probabilistic models of human visual perception

• extracting prior and noise characteristics from psychophysical experiments.
• physiological implementations of bayesian models of perception.

adaptation in perception

• understanding perceptual adaptation in a bayesian sense.
• effect of motion adaptation on perceived visual speed.
• neural population models for perceptual adaptation.

neurochips - neuromorphic analog VLSI vision circuits

• sensor for computing 2-D smooth optical flow.
• programmable focal-plane integrated circuits for motion segmentation and selective attention.
• human-machine interface using optical flow.
• robotic applications.

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