my photo
Y
u Hu

Department of Applied Mathematics, University of Washing
ton


Email:                huyu (at) uw.edu
Address:            Lewis Hall #322, Box 353925
                          Seattle, WA 98195 USA

Curriculum vitae


I am a PhD student (gratuating Spring 2014) in Applied Mathematics studying Theoretical Neuroscience (advisor Eric Shea-Brown). I am fasinated by what unique insights that mathematical theorems and proofs may offer towards understanding scientific questions about the brain.

I have been studying the impact of connectivity architectures on correlations at the network level (collaboraing with James Trousdale and Kresimir Josic at University of Houston). We relate pairwise correlation of spike times to simple local statistics of connections known as motifs (e.g. diverging---two cells both receiving projections from another cell and chain---three cells linked by two consecutive projections etc.). Recently, I am looking at the optimal noise correlations in a neural population for encoding information, given fixed mean responses (tuning curves).

Research

Publications

Y. Hu, J. Trousdale, K. Josić and E. Shea-Brown. Local paths to global coherence: cutting networks down to size. Phiscal Review E. 89(3):032802. doi:10.1103/PhysRevE.89.032802, (2014)

Y. Hu, J. Zylberberg, and E. Shea-Brown. The sign rule and beyond: Boundary effects, flexibility, and optimal noise correlations in neural population codes. PLoS Computational Biology. 10(2):e100346. doi:10.1371/journal.pcbi.1003469, (2014)

J. Trousdale, Y. Hu, E. Shea-Brown, and K. Josić. A generative spike train model with time-structured higher order correlations. Frontiers Comp. Neuroscience 7:84. doi: 10.3389/fncom.2013.00084, (2013)

Y. Hu, J. Trousdale, K. Josić, and E. Shea-Brown. Motif Statistics and Spike Correlations in Neuronal Networks. J. Stat. Mech. P03012. (2013)

J. Trousdale, Y. Hu, E. Shea-Brown, and K. Josić. Impact of Network Structure and Cellular Response on Spike Time Correlations. PLoS Computational Biology. 8(3):e1002408. doi:10.1371/journal.pcbi.1002408.t001 (2012)


Upcoming Conferences


Feb 27 - Mar 2, poster presentation, Cosyne 2014, Salt Lake City, UT


Teaching


I have been teaching assistant for AMATH 383 Introduction to Continuous Mathematical Modeling in Fall 2009, 2011, AMATH 353 Fourier Analysis and Partial Differential Equations Spring 2011, and calculus sequences MATH 124 Winter 2011, MATH 125 Winter 2009.


Links

Eric Shea-Brown's neural dynamics group
Department of Applied Mathematics, University of Washington