- Aapo Hyvarinen
http://www.cis.hut.fi/~aapo/
Involved in developing independent component analysis (ICA). Page supplies papers and code for reproducing experiments. Addresses generative model based vision and statistics of natural scenes.
- Quentin Huys
http://www.gatsby.ucl.ac.uk/~qhuys/
Who are we? I am interested in the mechanisms that have led to neural tissue being able to control complex organisms. Photography is another artistic way of slicing the timeline and recombining it for analysis.
- Cynthia F. Moss
http://www.bsos.umd.edu/psyc/batlab/
Studies on bat behaviour, physiology and modelling studies. The aim is to advance our understanding of how sensory information is processed, organized, and integrated with motor programs to permit perceptually-guided behavior. Lab Director Prof. Cynthia Moss PhD.
- Pam Reinagel
http://www.klab.caltech.edu/~pam/homepage.html
Pam Reinagel studies how patterns of activity in populations of visual neurons encode information about visual scenes. She is particularly interested in how neural codes are adapted to encode dynamic, natural stimuli efficiently. She applies Information Theory to spike trains of neurons.
- Roland Baddeley
http://www.biols.susx.ac.uk/home/Roland_Baddeley/
He is interested in many things including neural network techniques, the statistics of naturally generated spike trains in V1 and IT and the implications for coding, eye movements, stereo interactions in V1, timing behaviour, reading in young children, and the statistics of natural images.
- Geoffrey Boynton
http://www.cnl.salk.edu/~boynton/
We are interested in the neural correlates of human visual perception. We make use of a relatively new technique for measuring brain responses in humans called Functional Magnetic Resonance Imaging or fMRI.
- Yang Dan
http://mcb.berkeley.edu/faculty/NEU/dany.html
Goal is to understand the structure, function and plasticity of the mammalian visual system. Uses a combination of electrophysiological, psychophysical, and computational techniques to analyze how visual information is coded in the spiking activity of neurons in the visual cortex.
- Peter Dayan
http://www.gatsby.ucl.ac.uk/~dayan/
Builds mathematical and computational models of neural processing, with a particular emphasis on representation and learning. The main focus is on reinforcement learning and unsupervised learning, covering the ways that animals come to choose appropriate actions in the face of rewards and punishments, and the ways and goals of the process by which they come to form neural representations of the world. The models are informed and constrained by neurobiological, psychological and ethological data.
- Gaute Einevoll
http://arken.nlh.no/~itfgev/index_english.html
My present research activity is within biological physics where I focus on mathematical modeling of neural systems. The goal is to increase the understanding of how the behavior of biological systems is determined by the collective behavior of many cells.
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Students and Postdocs