Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Duke University 2015
• Recognition
• 

  In the News

  • JAN 9, 2018

    Duke Research Blog

    David Carlson: Engineering and Machine Learning for Better Medicine

  • AUG 24, 2017

    Pratt School of Engineering

    David Carlson: Generating Scientific Understanding from Machine Learning
• Research
• 

  Selected Grants

  • Network Dynamics of Negative and Positive Valence Systems in Decision Making awarded by National Institutes of Health 2019 - 2023
  • The neurophysiology of impulsive sensation seeking awarded by University of Pittsburgh 2018 - 2020
  • Enabling Stress Resistance awarded by National Institutes of Health 2012 - 2018
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Carlson, D, and Carin, L. "Continuing progress of spike sorting in the era of big data." Current Opinion in Neurobiology 55 (March 8, 2019): 90-96. (Review)  Full Text
    • Zheng, T, Bergin, MH, Johnson, KK, Tripathi, SN, Shirodkar, S, Landis, MS, Sutaria, R, and Carlson, DE. "Field evaluation of low-cost particulate matter sensors in high-and low-concentration environments." Atmospheric Measurement Techniques 11, no. 8 (August 22, 2018): 4823-4846.  Full Text
    • Goldstein, BA, Carlson, D, and Bhavsar, NA. "Subject Matter Knowledge in the Age of Big Data and Machine Learning." Jama Network Open 1, no. 4 (August 3, 2018): e181568-null.  Full Text
    • Hultman, R, Ulrich, K, Sachs, BD, Blount, C, Carlson, DE, Ndubuizu, N, Bagot, RC, Parise, EM, Vu, M-AT, Gallagher, NM, Wang, J, Silva, AJ, Deisseroth, K, Mague, SD, Caron, MG, Nestler, EJ, Carin, L, and Dzirasa, K. "Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability." Cell 173, no. 1 (March 2018): 166-180.e14.  Full Text
    • Vu, M-AT, Adalı, T, Ba, D, Buzsáki, G, Carlson, D, Heller, K, Liston, C, Rudin, C, Sohal, VS, Widge, AS, Mayberg, HS, Sapiro, G, and Dzirasa, K. "A Shared Vision for Machine Learning in Neuroscience." The Journal of Neuroscience : the Official Journal of the Society for Neuroscience 38, no. 7 (February 2018): 1601-1607.  Full Text
    • Carlson, D, David, LK, Gallagher, NM, Vu, M-AT, Shirley, M, Hultman, R, Wang, J, Burrus, C, McClung, CA, Kumar, S, Carin, L, Mague, SD, and Dzirasa, K. "Dynamically Timed Stimulation of Corticolimbic Circuitry Activates a Stress-Compensatory Pathway." Biological Psychiatry 82, no. 12 (December 2017): 904-913.  Full Text
    • Gallagher, Neil, Kyle R. Ulrich, Austin Talbot, Kafui Dzirasa, Lawrence Carin, and David E. Carlson. “Cross-Spectral Factor Analysis..” Edited by Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett. Nips, 2017, 6845–55.
    • Li, Yitong, Michael Murias, Samantha Major, Geraldine Dawson, Kafui Dzirasa, Lawrence Carin, and David E. Carlson. “Targeting EEG/LFP Synchrony with Neural Nets..” Edited by Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett. Nips, 2017, 4623–33.
    • Lee, JH, Carlson, D, Shokri, H, Yao, W, Goetz, G, Hagen, E, Batty, E, Chichilnisky, EJ, Einevoll, G, and Paninski, L. "YASS: Yet another spike sorter." Advances in Neural Information Processing Systems 2017-December (January 1, 2017): 4003-4013.
    • Hultman, R, Mague, SD, Li, Q, Katz, BM, Michel, N, Lin, L, Wang, J, David, LK, Blount, C, Chandy, R, Carlson, D, Ulrich, K, Carin, L, Dunson, D, Kumar, S, Deisseroth, K, Moore, SD, and Dzirasa, K. "Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology." Neuron 91, no. 2 (July 2016): 439-452.  Full Text
    • Merel, Josh, David Carlson, Liam Paninski, and John P. Cunningham. “Neuroprosthetic Decoder Training as Imitation Learning..” Plos Computational Biology 12, no. 5 (May 18, 2016). https://doi.org/10.1371/journal.pcbi.1004948.
       Full Text  Open Access Copy
    • Carlson, D, Hsieh, YP, Collins, E, Carin, L, and Cevher, V. "Stochastic Spectral Descent for Discrete Graphical Models." Ieee Journal on Selected Topics in Signal Processing 10, no. 2 (March 1, 2016): 296-311.  Full Text
    • Gan, Z, Li, C, Henao, R, Carlson, D, and Carin, L. "Deep temporal sigmoid belief networks for sequence modeling." Advances in Neural Information Processing Systems 2015-January (January 1, 2015): 2467-2475.
    • Carlson, D. E., J. T. Vogelstein, Q. Wu, W. Lian, M. Zhou, C. R. Stoetzner, D. Kipke, D. Weber, D. B. Dunson, and L. Carin. “Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling.” Ieee Transactions on Biomedical Engineering 61, no. 1 (January 1, 2014): 41–54. https://doi.org/10.1109/TBME.2013.2275751.
       Full Text
    • Carlson, David E., Joshua T. Vogelstein, Joshua T. Qisong Wu, Joshua T. Wenzhao Lian, Joshua T. Mingyuan Zhou, Colin R. Stoetzner, Daryl Kipke, Douglas Weber, David B. Dunson, and Lawrence Carin. “Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling..” Ieee Transactions on Bio Medical Engineering 61, no. 1 (January 2014): 41–54. https://doi.org/10.1109/tbme.2013.2275751.
       Full Text  Open Access Copy
    • Wang, L, Carlson, DE, Rodrigues, MRD, Calderbank, R, and Carin, L. "A bregman matrix and the gradient of mutual information for vector poisson and gaussian channels." Ieee Transactions on Information Theory 60, no. 5 (January 1, 2014): 2611-2629.  Full Text
    • Karumbaiah, Lohitash, Tarun Saxena, David Carlson, Ketki Patil, Radhika Patkar, Eric A. Gaupp, Martha Betancur, Garrett B. Stanley, Lawrence Carin, and Ravi V. Bellamkonda. “Relationship between intracortical electrode design and chronic recording function..” Biomaterials 34, no. 33 (November 2013): 8061–74. https://doi.org/10.1016/j.biomaterials.2013.07.016.
       Full Text
    • Carlson, D, Rao, V, Vogelstein, J, and Carin, L. "Real-time inference for a gamma process model of neural spiking." Advances in Neural Information Processing Systems (January 1, 2013).
    • Wang, L, Carlson, D, Rodrigues, MD, Wilcox, D, Calderbank, R, and Carin, L. "Designed measurements for vector count data." Advances in Neural Information Processing Systems (January 1, 2013).
    • Chen, M, Carlson, D, Zaas, A, Woods, CW, Ginsburg, GS, Hero, A, Lucas, J, and Carin, L. "Detection of viruses via statistical gene expression analysis." Ieee Transactions on Bio Medical Engineering 58, no. 3 (March 2011): 468-479.  Full Text

  • Conference Papers

    • Li, Y, Min, MR, Shen, D, Carlson, D, and Carin, L. "Video generation from text." January 1, 2018.
    • Li, Y, Murias, M, Major, S, Dawson, G, and Carlson, DE. "Extracting relationships by multi-domain matching." January 1, 2018.
    • Liang, KJ, Heilmann, G, Gregory, C, Diallo, SO, Carlson, D, Spell, GP, Sigman, JB, Roe, K, and Carin, L. "Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: A deep learning approach." January 1, 2018.  Full Text
    • Li, Y., M. Murias, S. Major, G. Dawson, K. Dzirasa, L. Carin, and D. E. Carlson. “Targeting EEG/LFP synchrony with neural nets.” In Advances in Neural Information Processing Systems, 2017-December:4621–31, 2017.
    • Gallagher, NM, Ulrich, K, Talbot, A, Dzirasa, K, Carin, L, and Carlson, DE. "Cross-spectral factor analysis." January 1, 2017.
    • Pakman, A, Gilboa, D, Carlson, D, and Paninski, L. "Stochastic bouncy particle sampler." January 1, 2017.
    • Li, C., C. Chen, D. Carlson, and L. Carin. “Preconditioned stochastic gradient langevin dynamics for deep neural networks.” In 30th Aaai Conference on Artificial Intelligence, Aaai 2016, 1788–94, 2016.
    • Song, Zhao, Ricardo Henao, David E. Carlson, and Lawrence Carin. “Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization..” In Aistats, edited by Arthur Gretton and Christian C. Robert, 51:1347–55. JMLR.org, 2016.
    • Carlson, DE, Stinson, P, Pakman, A, and Paninski, L. "Partition functions from rao-blackwellized tempered sampling." January 1, 2016.  Open Access Copy
    • Gan, Zhe, Chunyuan Li, Ricardo Henao, David E. Carlson, and Lawrence Carin. “Deep Temporal Sigmoid Belief Networks for Sequence Modeling..” In Nips, edited by Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, and Roman Garnett, 2467–75, 2015.
    • Carlson, D, Cevher, V, and Carin, L. "Stochastic spectral descent for restricted boltzmann machines." January 1, 2015.
    • Carlson, DE, Collins, E, Hsieh, YP, Carin, L, and Cevher, V. "Preconditioned spectral descent for deep learning." January 1, 2015.
    • Gan, Z, Chen, C, Henao, R, Carlson, D, and Carin, L. "Scalable deep Poisson factor analysis for topic modeling." January 1, 2015.
    • Gan, Z, Henao, R, Carlson, D, and Carin, L. "Learning deep sigmoid belief networks with data augmentation." January 1, 2015.
    • Ulrich, K, Carlson, DE, Dzirasa, K, and Carin, L. "GP kernels for cross-spectrum analysis." January 1, 2015.
    • Carlson, David E., Jana Schaich Borg, Kafui Dzirasa, and Lawrence Carin. “On the relations of LFPs & Neural Spike Trains..” In Nips, edited by Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, and Kilian Q. Weinberger, 2060–68, 2014.
    • Carlson, DE, Borg, JS, Dzirasa, K, and Carin, L. "On the relationship between LFP & spiking data." January 1, 2014.
    • Hu, C, Ryu, E, Carlson, D, Wang, Y, and Carin, L. "Latent Gaussian models for topic modeling." January 1, 2014.
    • Ulrich, K, Carlson, DE, Lian, W, Borg, JS, Dzirasa, K, and Carin, L. "Analysis of brain states from multi-region LFP time-series." January 1, 2014.
• Teaching & Mentoring
• 

  Recent Courses

  • CEE 690: Advanced Topics in Civil and Environmental Engineering 2019
  • CEE 692: Independent Study: Advanced Topics in Civil and Environmental Engineering 2018
  • ECE 590: Advanced Topics in Electrical and Computer Engineering 2018

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