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George A. Miller Prize in Cognitive Neuroscience

The George A. Miller Prize in Cognitive Neuroscience was established in 1995 by the Cognitive Neuroscience Society to honor the innovative scholarship of George A. Miller, whose many theoretical advances has so greatly influenced the discipline of cognitive neuroscience. The first ten years of the prize were funded by generous support from the James S. McDonnell Foundation.

The Prize shall be awarded to the nominee whose career is characterized by distinguished and sustained scholarship and research at the cutting-edge of their discipline and that has in the past, or has the potential in the future, to revolutionize cognitive neuroscience. Extraordinary innovation and high impact on international scientific thinking should be a hallmark of the recipient’s work.

Each year a call for nominations for the George A. Miller Prize will be made to the membership of the society. The recipient of the prize will attend the annual meeting of the Cognitive Neuroscience Society and deliver the George A. Miller lecture.

Congratulations to Dr. Brian Wandell on being awarded the 2016 George A. Miller Award. Dr. Wandell will give his award lecture on Saturday, April 2, 2016, 4:00 –5:00 pm, in the Grand Ballroom East at the New York Hilton Midtown Hotel.

“Computational neuroimaging: Quantifying brain tissue and modeling activity in the living human brain”

Brian Wandell, Isaac and Madeline Stein Family Professor, Director of Stanford’s Center for Cognitive and Neurobiological Imaging (CNI), Psychology Department.

In the last twenty-five years there has been extraordinary progress in our ability to measure and model the tissue properties and activity in the living human brain using magnetic resonance imaging. Reliable measurements can be made at the millimeter scale in individual subjects, significantly enhancing the value of these techniques for both scientific and clinical applications. I will describe examples that combine functional MRI measurements with simple visual models to characterize the position, size and stimulus selectivity within the many different regions of visual cortex. I will also describe how to use diffusion MRI and quantitative MRI to model the connections between brain regions and measure the active, biological wires that carry information across the very large expanse of the human brain. MRI measurements that quantify the molecular properties of brain tissue, and reproducible computational models of brain responses promise a new era in which data and models from around the world can be meaningfully compared and combined. Using the tools of reproducible research for computing and informatics for data sharing, we can develop quantitative profiles of brain responses and tissue properties that help us understand the brain in both health and disease. These measurements and models can provide a strong foundation for a human neuroscience that benefits society.

 


 

Previous Winners of the George A. Miller Lectureship

2015 Patricia Kuhl, Ph.D., University of Washington
2014 Jon Kaas, Ph.D., Vanderbilt University
2013 Fred Gage, Ph.D., The Salk Institute
2012 Eve Marder, Ph.D., Brandeis University
2011 Mortimer Mishkin, Ph.D., NIMH
2010 Steven Pinker, Ph.D., Harvard University
2009 Marcus Raichle, Ph.D., Washington University School of Medicine
2008 Anne Treisman, Ph.D., Princeton University
2007 Joaquin M. Fuster, Ph.D., University of California Los Angeles
2006 Steven A. Hillyard, Ph.D., University of California San Diego
2005 Leslie Ungerleider, Ph.D., National Institute of Mental Health
2004 Michael Posner, Ph.D., University of Oregon
2003 Michael Gazzaniga, Ph.D., Dartmouth College
2002 Daniel Kahneman, Ph.D., Princeton University
2001 William Newsome, Ph.D., Stanford University
2000 Patricia Churchland, Ph.D., University of California, San Diego
1999 Giacommo Rizzolatti, Ph.D., University of Parma, Italy
1998 Susan Carey, Ph.D., New York University
1997 Roger Shepard, Ph.D., Stanford University
1996 David Premack, Ph.D., CNRS, France
1995 David H. Hubel, Ph.D., Harvard Medical School