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Curriculum Vitae  (full CV in PDF form


Employment

  • 2007-present
    Biology Department
    University of Texas at San Antonio
    1 UTSA Circle
    San Antonio, TX 78249
  • 2000-2007
    Department of Psychology
    Program in Neuroscience and Cognitive Science
    Applied Math and Scientific Computing Program
    University of Maryland, College Park

Education

  • Postdoctoral fellow: W.M. Keck Center for Integrative Neuroscience, University of California San Francisco, 1995-2000.  Professor Allison J. Doupe, principal investigator.
  • Postdoctoral fellow: W.M. Keck Center for Integrative Neuroscience, University of California San Francisco, 1993-1995.  Kenneth D. Miller, principal investigator.
  • Ph.D. in Mathematics: University of California Berkeley, 1985-1993. Morris W. Hirsch, dissertation supervisor.
  • B.A. in Math and Physics (magna cum laude): Washington University in St. Louis, 1981-1985. 

Scientific Summer Courses

  • Neural Systems and Behavior, Marine Biological Lab, Woods Hole MA, Summer 1995.
  • Complex Systems Summer School, Santa Fe Institute, Santa Fe NM, Summer 1991.

Publications

Research Articles

  • Christopher M. Glaze and Todd W. Troyer. Behavioral Measurements of a Temporally Precise Motor Code for Birdsong.  Journal of Neuroscience, 27(29): 7631-7639, 2007.
  • Todd W. Troyer. Factors Affecting Phase Synchrony in Integrate-and-Fire Oscillators. Journal of Computational Neuroscience. 20(10):191-200, 2006.
  • Ping Du and Todd W. Troyer. A Segmentation Algorithm for Zebra Finch Song at the Note Level. Neurocomputing, 69(10-12): 1375-1379, 2006.
  • Joanna R. Pressley and Todd W. Troyer. Temporal Processing in the Exponential Integrate-and-Fire Model is Nonlinear. Neurocomputing, 69(10-12): 1076-1080, 2006.
  • David. L. Boothe, Avis H. Cohen, and Todd W. Troyer. Temporal Correlations in Stochastic Models of Double Bursting During Locomotion.  Journal of Neurophysiology. 95(3):1556-70, 2006.
  • Christopher M. Glaze and Todd W. Troyer. Temporal Structure in Zebra Finch Song: Implications for Motor Coding.  Journal of Neuroscience, 26(3):991-1005, 2006.
  • Todd W. Troyer,Anton E. Krukowski, and Kenneth D. Miller. LGN input to simple cells and contrast-invariant orientation tuning: An analysis.  Journal of Neurophysiology, 87(6):2741-2752, 2002.
  • Kenneth D. Miller and Todd W. Troyer. Neural noise can explain expansive, power-law nonlinearities in neural response functions.  Journal of Neurophysiology, 87(2):653-659, 2002.
  • Todd W. Troyer and Sarah W. Bottjer. Birdsong:  Models and mechanisms.  Current Opinion in Neurobiology, 11(6):721-6, 2001.
  • Anton E. Krukowski, Todd W. Troyer, and Kenneth D. Miller. A model of visual cortical temporal frequency tuning. Neurocomputing,38:1379-1383, 2001.
  • Todd W. Troyer and Allison J. Doupe. An associational model of birdsong sensorimotor learning. I. Efference copy  and the learning of song syllables.   Journal of Neurophysiology, 84(3):1204-1223, 2000.
  • Todd W. Troyer and Allison J. Doupe. An Associational Model of Birdsong Sensorimotor Learning. II. Temporal hierarchies and the learning of song sequence.   Journal of Neurophysiology, 84(3):1224-1239, 2000. 
  • Todd W. Troyer, Anton E. Krukowski, Nicholas J. Priebe, and Kenneth D. Miller.  Contrast-invariant orientation tuning in visual cortex: feedforward tuning and correlation-based intracortical connectivity. Journal of Neuroscience, 18(15): 5908-5927, 1998. 
  • Todd W. Troyer and Kenneth D. Miller.  Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Computation, 9(5):971-983. 1997.
    •  Reprinted in L.F. Abbott and T.J. Sejnowski, editors, Neural Codes and Distributed Representations: Foundations of Neural Computation. MIT Press, pp.187-199, 1999.
  • Todd W. Troyer. Feedforward Hebbian learning with nonlinear output units: a Lyapunov approach.  Neural Networks, 9(2):321-328, 1996.
  • Todd W. Troyer, Jacob E. Levin,  and Gwen A. Jacobs. Construction and analysis of a database representing a neural map.  Microscopy Research and Technique, 29:329-343, 1994.

Book Chapters

  • Bill Baird, Todd W. Troyer, and Frank Eeckman.  Attentional network streams of synchronized 40 Hz activity in a cortical architecture of coupled oscillating associative memories.  In D. Levine, V. Brown, and T. Shirley, editors, Oscillations in Neural Systems. Laurence Erlbaum, 2000.

Other Articles

  • Todd W. Troyer.  A Mathematician’s Road to Neuroethology. International Society for Neuroethology Newsletter, Nov 2003.
  • Todd W. Troyer.  Computational Neuroscience: Trends in Research 2006, Neurocomputing, 69(10-12): 999-1000, 2006.

Manuscripts In Preparation

  • Christopher M. Glaze and Todd W. Troyer. Elasticity and Temporal Grouping in a Synfire Model of Birdsong. 
  • Todd W. Troyer. Multiplicative Interactions Between Voltage Integration and Instantaneous Current Determine Neural Response Times. 
  • Christopher M. Glaze and Todd W. Troyer. Subsyllabic Temporal Structure in the Motor Code for Birdsong.
  • Joanna R. Pressley and Todd W. Troyer. Resonant Responses to Variance Modulation in Integrate-and-Fire Neurons.
  • Beth A. Vernaleo and Todd W. Troyer. Lesions in an Avian Basal Ganglia Circuit Affect Song Sequencing via Decreased Syllable Transitions.

Presentations

Conference Abstracts (refereed)

  • Joanna R. Pressley and Todd W. Troyer. Resonant responses to variance modulation in stochastic integrate-and-fire neurons. Computational Neuroscience Meeting, Toronto Ontario CA, July 18-22, 2007.

  • Joanna R. Pressley and Todd W. Troyer.  The PDF of the LIF Moves in a Low Dimensional Space. Computational Neuroscience Meeting, Edinburgh UK, July 18-22, 2006. 

  • Christopher M. Glaze and Todd W. Troyer.  Elasticity and Temporal Grouping in a Synfire Chain Model of Zebra Finch Song. Computational Neuroscience Meeting, Edinburgh UK, July 18-22, 2006.  
  • Joanna R. Pressley and Todd W. Troyer. A-Currents Reduce Spike Synchrony Driven by Input Transients. Computational Neuroscience Meeting, Baltimore MD, July 18-22, 2004. 
  • Todd W. Troyer. Rate Dynamics in Integrate-and-Fire Neurons: Two Regimes and Multiple Time Scales. Computational Neuroscience Meeting, Pacific Grove CA, July 1-6, 2001.
Conference Abstracts (unrefereed)
  • Christopher M. Glaze and Todd W. Troyer. Development of Timing in Zebra Finch Song.  Society for Neuroscience Meeting, San Diego, CA. Nov 3-7, 2007.
  • Christopher M. Glaze and Todd W. Troyer. Fine Temporal Structure in Zebra Finch Song: Evidence for Multiple Timescales.  Society for Neuroscience Meeting, Atlanta GA. Oct 14-18, 2006. 
  • David L. Boothe, David A. McCrea, Avis H. Cohen , and Todd W. Troyer. Burst Correlation Structure within the Locomotor Cycle of the Fictive Cat.  Society for Neuroscience Meeting, Atlanta GA. Oct 14-18, 2006. 
  • Beth A. Goldman and Todd.W. Troyer. A Fine-grained Analysis of Zebra Finch Song After Lesions in the LMAN Mid-way Through Sensorimotor Learning. Society for Neuroscience Meeting, Washington DC. Nov 12-16, 2005.
  • Christopher M. Glaze and Todd W. Troyer. Global and Local Temporal Structure in Zebra Finch Song. Society for Neuroscience Meeting, Washington DC. Nov 12-16, 2005. 
  • Joanna R. Pressley and Todd W. Troyer. Temporal Processing in the Exponential Integrate-and-Fire Model is Nonlinear. Society for Neuroscience Meeting, Washington DC. Nov 12-16, 2005. 
  • Ping Du and Todd W. Troyer. An Automated Segmentation Algorithm for Zebra Finch Song at the Note Level. Society for Neuroscience Meeting, Washington DC. Nov 12-16, 2005. 
  • David L. Boothe, Todd W. Troyer and Avis H. Cohen. Temporally Distant Correlations in a Stochastic Model of the Spinal Central Pattern Generator.  Society for Neuroscience Meeting, Washington DC. Nov 12-16, 2005. 
  • Christopher M. Glaze and Todd W. Troyer. Control of Global Timing in Zebra Finch Song. Society for Neuroscience Meeting, San Diego CA. Oct 23-27, 2004. 
  • Todd W. Troyer. Rate Dynamics in Integrate-and-Fire Neurons: Two Regimes and Multiple Time Scales. International Joint Conference on Neural Networks, Washington DC. July 14-19, 2001. 
  • Todd W. Troyer. Rate Dynamics in Integrate-and-Fire Neurons: Two Regimes and Multiple Time Scales. . Neural Information and Coding Workshop, Big Sky MT. Mar 17-20, 2001. 
  • Todd W. Troyer, Allison J. Doupe and Kenneth D.Miller.  An associational model for sensorimotor learning of birdsong. Society for Neuroscience Meeting, Washington DC. Nov 16-21, 1996. 
  • Todd W. Troyer and Kenneth D. Miller. A simple model of cortical excitatory cells linking NMDA-mediated currents, ISI variability, spike repolarization and slow AHPs. Society for Neuroscience Meeting, San Diego CA. Nov 11-16, 1995. 
  • Todd W. Troyer. Topographic map formation in two layer neural networks. In American Mathematical Society Abstracts, 1993. [Invited paper in special session]

Invited Lectures

  • Physiology Seminar, Georgetown University, Washington, DC. “Behavioral Analysis of the Neural Code for Birdsong” Nov 27, 2006. 
  • Center for Theoretical Neuroscience, Columbia University, New York, NY. “Temporal Variability and the Structure of the Vocal Pattern Generator in Zebra Finches” Feb 24, 2006. 
  • Sigma Xi lecture, Lake Forest College, Lake Forest IL. “The Neurobiology of Birdsong: A Lucrative Business?” Apr 17, 2005.  
  • Psychology colloquium, Rutgers University, Newark NJ. “Multiple Representations of Song During Vocal Learning: Questions and Hypotheses.” Mar 12, 2004.
  • Psychological Round Table, Villanova University, Villanova PA. “Behavioral Neuroscience Goes Digital: Fine-grained Analysis of Song Learning.” Feb 20-22, 2004. 
  • Bodian Mind-Brain Lecture, Johns Hopkins University, Baltimore MD. “Multiple Representations of Song During Vocal Learning: Questions and Hypotheses.” Feb 2, 2004. 
  • Mathematical Biosciences Institute, Ohio State University, Columbus OH. Workshop on Sensory-Motor Systems. “Multiple Representations of Song During Vocal Learning: Questions and Hypotheses.” June 9-13, 2003.
  • Cognitive Neuroscience Symposium, Cornell University, Ithaca NY. “The Functional Anatomy of Song Learning: A Computational Approach.” Jan 14, 2003. 
  • University of Maryland, Baltimore County MD. “The Functional Anatomy of Song Learning: A Computational Approach.” Nov 14, 2002. 
  • National Institutes of Health, Bethesda MD. “The Functional Anatomy of Song Learning: A Computational Approach.” Oct 11, 2002. 
  • Neuroscience lunch, Princeton University,  Princeton NJ.  “An Associational Model for the Sensorimotor Learning of Birdsong.” Nov 1, 2001.  
  • Washington-Baltimore Computational Neuroscience Interest Group. University of Maryland, Baltimore. “Rates and Spikes: Exploring the Temporal Response Properties of Simple Model Neurons.” Oct 31, 2001.  
  • Biomedical Engineering Department, Johns Hopkins University, Baltimore MD. “An Associational Model for the Sensorimotor Learning of Birdsong.” Mar 9, 2001.  
  • Biological Information Processing and Systems Workshop, Clemson University, Clemson SC.  Sponsored by NSF and DOE. “Information Processing in Cortical Circuits: Temporal Multiplexing and the Search for the Canonical Microcircuit.” Jan 19-20, 2001. 
  • Washington University, St. Louis MO. “An Associational Model of Sensorimotor Learning of Birdsong.” Feb 20, 1998.
  • American Mathematical Society Annual Meeting, San Antonio TX. Session on Dynamics in Neural Networks. “Topographic map formation in two layer neural networks.” Jan 13-16, 1993.
 

Software        

  • Todd W. Troyer and Ping Du. SongBrowser. 
    • Suite of MATLAB programs for view, labeling, and analyzing birdsongs.

Contracts and Grants

  • Whitehall Foundation, Behavioral Analysis of the Neural Code for Birdsong,” Pending. (Up to $75K/year for 3 years.) 
  • NIMH R21, “Fine-Grained Analysis of Vocal Learning,” 2002-2005. ($100K/year for two years, direct costs.) 
  • Alfred P. Sloan Research Fellow, 2002-2005. ($40K total.)

Fellowships, Prizes and Awards

2002-2005                   Alfred P. Sloan Foundation Research Fellowship
1999-2000                   National Research Service Award Postdoctoral Fellowship
1995-1998                   McDonnell-Pew Cognitive Neuroscience Postdoctoral Fellowship
1993-1995                   National Science Foundation Mathematical Sciences Research Fellowship
1990-1, 1991-2           Dept. of Ed. Graduate Assistance in Areas of National Need Fellowship
1984-1988                   Beinecke Memorial Scholarship
1985                            Phi Beta Kappa, Washington University
 

Editorships

  • Computational Neuroscience: Trends in Research 2006. Special issue of Neuroscomputing.  Elsevier, 2006.

Reviewing Activities (Last five years)

  • Nature; Nature Neuroscience; PNAS; Journal of Neuroscience; Neuron; Journal of Neurophysiology; Journal of Computational Neuroscience; Neural Computation; Vision Research; Computational Neuroscience (CNS) meeting; Neural Information Processing Systems (NIPS) meeting.

Teaching, Mentoring, and Advising

Courses Taught 

  • NACS 643/PSYC 798A, Computational Neuroscience, Fall 2000-2003, Spring 2005, 2006.
    •  Graduate core course for Neuroscience and Cognitive Science Program.
  • PSYC 200, Statistical Methods in Psychology. Spring, 2002,2003,2004, Fall 2005, 2006.

Curriculum Development

  • Computational Neuroscience, NACS 728N/PSYC 798A. Developed course. Wrote course notes in book form (currently 171 pages), including numerous exercises.  
  • As member of NACS Curriculum Committee  I wrote revised core requirement plan after the addition of Cellular and Molecular Neuroscience and Cognitive Science courses.

Other Contributions

  • Computational Neuroscience Research Interaction Team (RIT)
    •  Led informal weakly graduate reading seminars, integrated with structures in the Applied Math and Scientific Computing program. 
    • Stochastic spiking models, Spring 2003.
    • Population density models of spiking, Fall 2003.
    • Sequence learning, Spring 2004.
  • Applied Math Scientific Computation Program Mini Course, Spring 2003, 2004.
    • Series of three lectures; in collaboration with Avis Cohen and Jose Contreras-Vidal.
  • Guest Lectures
    • Howard Hughes Medical Institute Catalyst seminar, Spring 2002-2005.
    • NACS 728Y, Introduction to Cognitive Science, Spring 2003, Fall 2004.
    • PSYC789A/BIOL646, Hearing, Spring 2002, 2004.
    • University Honors program, Feb 2002.

Research Advising

  • Ph.D candidates, Neuroscience and Cognitive Science Program
    • Beth Vernaleo, Christopher Glaze,  David Boothe (joint with Avis Cohen) 
  • Ph.D candidate, Applied Math and Scientific Computation Program.
    • Joanna Pressley
  • Masters candidate, Psychology. 
    • Ping Du
  • Undergraduate:  
    • David Sivakoff, currently, Applied Math Ph..D. student, UC Davis.
    • Christopher Glaze, currently Neuroscience and Cognitive Science Ph..D. student,U. Maryland, College Park
    • Christina Johnson, currently research assistant, Walter Reed Army Medical Center
  • Additional Student Committees (current/past):  Undergraduate honors (0/1); Masters (0/2); Doctoral (7/2).

Service

Professional Organizations

  • Computational Neuroscience Organization. Organization runs annual international Computational Neuroscience (CNS) Conference..
    • Advisory Board, 2006-present
    • Vice-President,2002-2006
    • Program Committee, 2001-2003.
  • Reviewing for National Agencies
    • Panel member, Joint NIH and NSF program in Collaborative Research in Computational Neuroscience, spring 2006.
    • Grant reviews, NSF Applied Mathematics Directorate:April 2001 (2), May 2002 (2), May 2004 (2), May 2005 (2).
    • Panel member, NSF initiative in Learning and Intelligent Systems, Apr 2001.