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Don H. Johnson

Affiliations: 
Electrical and Computer Engineering Rice University, Houston, TX 
Website:
http://www-old.ece.rice.edu/~dhj/
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"Don Johnson"
Mean distance: 16.44 (cluster 17)
 
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Parents

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Nelson YS Kiang grad student
Thomas F. Weiss grad student

Children

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Sinan Sinanovic grad student 2006 Rice University
Mahsa Memarzadeh grad student 2007 Rice University
Christopher J. Rozell grad student 2000-2007 Rice University
Michael A. Lexa grad student 2008 Rice University
Ilan N. Goodman grad student 2010 Rice University
Courtney C. Lane post-doc Rice University

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Publications

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Dyer EL, Johnson DH, Baraniuk RG. (2010) Learning modular representations from global sparse coding networks Bmc Neuroscience. 11
Johnson DH, Johnson CR, Hendriks E. (2010) Signal processing and analyzing works of art Proceedings of Spie - the International Society For Optical Engineering. 7798
Johnson DH. (2010) Information theory and neural information processing Ieee Transactions On Information Theory. 56: 653-666
Dyer EL, Duarte MF, Johnson DH, et al. (2010) Recovering spikes from noisy neuronal calcium signals via structured sparse approximation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6365: 604-611
Dyer EL, Johnson DH, Baraniuk RG. (2009) Sparse coding with population sketches Bmc Neuroscience. 10
Oweiss KG, Principe JC, Johnson DH. (2009) Editorial: Statistical signal processing in neuroscience Eurasip Journal On Advances in Signal Processing. 2009
Rozell CJ, Johnson DH, Baraniuk RG, et al. (2008) Sparse coding via thresholding and local competition in neural circuits. Neural Computation. 20: 2526-63
Johnson DH, Goodman IN. (2008) Inferring the capacity of the vector Poisson channel with a Bernoulli model. Network (Bristol, England). 19: 13-33
Gao L, Gardner WR, Robbins C, et al. (2008) Limits on Data Communication Along the Drillstring Using Acoustic Waves Spe Reservoir Evaluation & Engineering. 11: 141-146
Goodman IN, Johnson DH. (2008) Spike sorting should be biased for optimal neural control prostheses Bmc Neuroscience. 9
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