Daniel Strouse

  • Program Years: 2012-2016
  • Academic Institution: Princeton University
  • Field of Study: Theoretical Neuroscience
  • Academic Advisor: William Bialek
  • Practicum(s):
    Lawrence Berkeley National Laboratory (2014)
  • Degree(s):
    M.Phil. Information Engineering, University of Cambridge, 2012
    B.A. Physics, and B.S. Mathematics, University of Southern California, 2011

Current Status

  • Research Area: Theoretical Neuroscience
  • Personal URL: http://www.djstrouse.com/
  • Publications

    PUBLICATIONS
    -DJ Strouse & David Schwab. The deterministic information bottleneck. Neural Computation. (in review)
    -DJ Strouse & David Schwab. The deterministic information bottleneck. UAI 2016. (in review)
    -X. Wu, DJ Strouse, & B. Mel. Optimizing online learning capacity in a biologically-inspired neural network. (in preparation)
    -AM Childs & DJ Strouse. Levinson’s theorem for graphs. Journal of Mathematical Physics. Aug 2011.

    PRESENTATIONS
    -DJ Strouse & David Schwab. Compression and regularization with the information bottleneck. APS March Meeting 2016.
    -DJ Strouse & David Schwab. Compression for prediction with the deterministic information bottleneck. Cosyne 2016. (submitted)
    -DJ Strouse & David Schwab. The deterministic information bottleneck. Physics Informed Machine Learning 2016.
    -DJ Strouse. The deterministic information bottleneck. Janelia Theory Workshop 2015.
    -DJ Strouse & David Schwab. The Deterministic Information Bottleneck: Optimizing Memory for Prediction. Society for Neuroscience (SfN). Washington, DC. November 2014.
    -DJ Strouse, Balazs Ujfalussy, & Mate Lengyel. Dendritic subunits: the crucial role of input statistics and a lack of two-layer behavior. Computational and Systems Neuroscience (Cosyne). Salt Lake City, UT. February 2013.
    -DJ Strouse, Jakob Macke, Roman Shusterman, Dima Rinberg, & Elad Schneidman. Behaviorally-locked structure in a sensory neural code. Sensory Coding & Natural Environment (SCNE). Vienna, Austria. September 2012.
    -DJ Strouse & Mate Lengyel. Hierarchical generalized linear models of dendritic integration and somatic membrane potential. Computational and Systems Neuroscience (Cosyne). Salt Lake City, UT. February 2012.
    -Bartlett Mel, Xundong Wu, & DJ Strouse. Optimizing online learning capacity in a biologically-inspired memory structure. Computational and Systems Neuroscience (Cosyne). Salt Lake City, UT. February 2012.
    -Xundong Wu, DJ Strouse, & Bartlett Mel. Optimizing online learning capacity in a biologically-inspired neural network. Society for Neuroscience (SfN). Washington, DC. November 2011.
    -Xundong Wu, DJ Strouse, & Bartlett Mel. Optimizing online learning capacity in a biologically-inspired neural network. Annual Joint Symposium On Neural Computation. San Diego, CA. June 2011.
    -DJ Strouse. Reliable brains from unreliable neurons – the search for synfire chains in the brain. Stanford Amgen Scholars Symposium. Palo Alto, CA. August 2010.

    Awards

    -Hertz Foundation Fellowship, 2013
    -Churchill Scholarship, 2011-2012 (for 1 year of study at the University of Cambridge)
    -NSF Graduate Research Fellowship, 2011 (declined for DoE CSGF)
    -USC Order of the Laurel and the Palm, 2011 (highest honor bestowed upon graduating seniors)
    -Rose Hills Undergraduate Summer Research Fellowship, 2011
    -USC Provost Undergraduate Spring Research Fellowship, 2011
    -Stanford Amgen Scholar (summer research fellowship), 2010
    -USC Provost Undergraduate Summer Research Fellowship, 2009
    -USC Global Fellow, 2008 (consulting internship in Shanghai, China)
    -USC Stevens Global Impact Fellow, 2008 (social entrepreneurship program in Karnataka, India)
    -USC Presidential Scholarship, 2006-2010 (half-tuition scholarship)
    -National Merit Scholar, 2006
    -Eagle Scout, 2006