C:uments and SettingserDocumentser Mindsss Releasesmer 2012 KK Original.wpd

Source URL: otherminds.org

• Guggenheim Fellows
• MacArthur Fellows
• Experimental composers
• Conlon Nancarrow
• Studies for Player Piano
• Merce Cunningham
• John Cage
• Other Minds
• Charles Amirkhanian
• Conlon
• Trimpin
• Process music

John P. Cunningham Curriculum Vitae Contact Information

Source URL: stat.columbia.edu

Derivation of Expectation Propagation for “Fast Gaussian Process Methods for Point Process Intensity Estimation” John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA 94305

Source URL: stat.columbia.edu

Image interpolation and denoising for division of focal plane sensors using Gaussian Processes Elad Gilboa,1 John P. Cunningham,2 Arye Nehorai,1 and Viktor Gruev 3 1 Preston

Source URL: stat.columbia.edu

• Multivariate interpolation
• Image processing
• Interpolation
• Gaussian process
• Bicubic interpolation
• Polarization
• Regression analysis
• Kalman filter
• Normal distribution
• Kriging

Gaussian Processes for time-marked time-series data John P. Cunningham Zoubin Ghahramani Carl E. Rasmussen Department of Engineering, University of Cambridge, Cambridge, UK

Source URL: stat.columbia.edu

Neural Prosthetic Systems: Current Problems and Future Directions Cindy A. Chestek*, John P. Cunningham*, Vikash Gilja, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy Abstract— By decoding neural activity into usef

Source URL: stat.columbia.edu

J Comput Neurosci:479–497 DOIs10827An L1-regularized logistic model for detecting short-term neuronal interactions Mengyuan Zhao · Aaron Batista · John P. Cunningham ·

Source URL: stat.columbia.edu

news and views Analyzing neural data at huge scale John P Cunningham Neuroscience, like many fields, is experiencing dramatic increases in the quantity and

Source URL: stat.columbia.edu

• Neuroscience
• Computing
• Computational neuroscience
• Nervous system
• Cognitive neuroscience
• Data analysis
• Computer cluster
• Brain
• Neuroinformatics
• Neural ensemble

John P. Cunningham, Byron M. Yu, Vikash Gilja, Stephen I. Ryu and Krishna V. Shenoy J Neurophysiol 100:, 2008. First published Oct 1, 2008; doi:jnYou might find this additional information us

Source URL: stat.columbia.edu

Fast Gaussian Process Methods for Point Process Intensity Estimation John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA, USAJCUNNIN @ STANFORD . EDU

Source URL: stat.columbia.edu