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 21 - Sejnowski, Terry
  Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations.
http://www.salk.edu/faculty/sejnowski.html		  
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 22 - Tishby, Naftali
  Machine learning; applications to human-computer interaction, vision,neurophysiology, biology and cognitive science.
http://www.cs.huji.ac.il/~tishby/		  
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 23 - Bishop, Chris
  Graphical models, variational methods, pattern recognition.
http://research.microsoft.com/~cmbishop/		  
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 24 - Wu, Yingnian
  Stochastic generative models for complex visual phenomena.
http://www.stat.ucla.edu/~ywu/		  
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 25 - Hinton, Geoffrey E.
  Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation.
http://www.cs.toronto.edu/~hinton/		  
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 26 - Wunsch II, Donald C.
  Reinforcement Learning, Adaptive Critic Designs, Control, Optimization, Graph Theory, Bioinformatics, Intrusion Detection.
http://www.ece.umr.edu/~dwunsch/		  
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 27 - Rao, Rajesh P. N.
  Models of human and computer vision.
http://www.cs.washington.edu/homes/rao/		  
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 28 - Olshausen, Bruno
  Visual coding, statistics of images, independent components analysis.
http://redwood.ucdavis.edu/bruno/		  
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 29 - de Freitas, Nando
  Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
http://www.cs.ubc.ca/~nando/		  
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 30 - Xing, Eric
  Statistical learning, machine learning approaches to computational biology, pattern recognition and control.
http://www.cs.cmu.edu/~epxing/		  
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