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  Ph.D. Thesis
  • Dissertation: Statistical models of neural coding in motor cortex (pdf)
    Advisors: David Mumford, Michael J. Black
  Neural Coding (2006 - Present)
  • Wilber. A, Skelin, I., Wu, W., and McNaughton, B., "Laminar organization of encoding and memory reactivation in the parietal cortex", Neuron, vol. 95, pp. 1406-1419, 2017. (pdf)

  • Liu, S. and Wu, W., "Generalized Mahalanobis depth in point process and its application in neural coding", Annals of Applied Statistics, vol. 11, pp. 992-1010, 2017. (pdf)

  • Wesolowski, S., Contreras, R. J., and Wu, W., "A new framework for Euclidean summary statistics in neural spike train space", Annals of Applied Statistics, vol. 9, pp. 1278-1297, 2015. (pdf)

  • Wu, W., Amarasingham, A., Chen, Z., and Kim, S., "Editorial: Modeling and analysis of neural spike trains", Computational Intelligence and Neuroscience , vol. 2014, Article ID 161203, 2014. (pdf)

  • Wu, W., Mast, T., Ziembko, C., Breza, J., and Contreras, R. J., "Statistical analysis and decoding of neural activity in the rodent geniculate ganglion using a metric-based inference system", PLoS ONE, vol. 8, e65439, 2013. (pdf)

  • Wu, W. and Srivastava, A., "Estimating summary statistics in the spike-train space", Journal of Computational Neuroscience, vol. 34, pp. 391-410, 2013. (pdf)

  • Lawhern, V., Hatsopoulos, N. G., and Wu, W., "Coupling time decoding and trajectory decoding using a target-included model in the motor cortex", Neurocomputing, vol. 82, pp. 117-126, 2012. (pdf)

  • (conference paper) Wu, W. and Srivastava, A., "Estimation of a mean template from spike-train data", 34th Annual Conference of IEEE EMBS, 2012. (pdf)

  • Wu, W. and Srivastava, A., "An information-geometric framework for statistical inferences in the neural spike train space", Journal of Computational Neuroscience, vol. 31, pp. 725-748, 2011. (pdf) (software)

  • Lawhern, V., Nikonov, A. A., Wu, W., and Contreras, R. J., "Spike rate and spike timing contributions to coding taste quality information in rat periphery", Frontiers in Integrative Neuroscience, vol. 5, art. 18, pp. 1-14, 2011. (pdf)

  • Wu, W. and Srivastava, A., "Towards statistical summaries of spike train data", Journal of Neuroscience Methods, vol. 195, pp. 107-110, 2011. (pdf)

  • Lawhern, V., Wu, W., Hatsopoulos, N. G., and Paninski, L., "Population decoding of motor cortical activity using a genralized linear model with hidden states", Journal of Neuroscience Methods , vol. 189, pp. 267-280, 2010. (pdf)

  • Paninski, L., Ahmadian, Y., Ferreira, D., Koyama, S., Rahnama Rad, K., Vidne, M., Vogelstein, J., and Wu, W., "A new look at state-space models for neural data", Journal of Computational Neuroscience, vol. 29, pp. 107-126, 2010. (pdf)

  • Wu, W., Kulkarni, J. E., Hatsopoulos, N. G., and Paninski, L., "Neural decoding of hand motion using a linear state-space model with hidden states", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 17, pp. 370-378, 2009. (pdf)

  • Wu, W. and Hatsopoulos, N., "Real-time decoding of non-stationary neural activity in motor cortex", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 16, pp. 213-222, 2008. (pdf)

  • (conference paper) Wu, W. and Hatsopoulos, N., "Target-included model and hybrid decoding of stereotyped hand movement in the motor cortex", The second IEEE RAS / EMBS International Conference on Biomedical Robotics and Biomechatronics, Scottsdale, AZ, October 19-22, 2008. (pdf)

  • Wu, W. and Hatsopoulos, N., "Coordinate system representations of movement direction in the premotor cortex", Experimental Brain Research, vol. 176, pp. 652-657, 2007. (pdf)

  • Chi, Z., Wu W., Haga Z., Hatsopoulos, N., and Margoliash D., "Identifying neuronal activity pattern: patching local temporal information", Journal of Neurophysiology vol. 97, pp. 1221-1235, 2007. (pdf)

  • Wu, W. and Hatsopoulos, N., "Evidence against a single coordinate system representation in the motor cortex ", Experimental Brain Research, vol. 175, pp. 197-210, 2006. (pdf)

  • Wu,W., Gao, Y., Bienenstock, E., Donoghue, J. P., and Black, M. J., "Bayesian population decoding of motor cortical activity using a Kalman filter", Neural Computation, vol. 18, pp. 80-118, 2006. (pdf)

  Functional Data Analysis
  • Schluck, G., Wu, W., Whyte, J., and Abbott, L., "Emergency department arrival times in Florida heart failure patients utilizing Fisher-Rao curve registration: A descriptive population-based study", Heart and Lung - The Journal of Acute and Critical Care, vol. 47, pp. 458-464, 2018.

  • (conference paper) Ahn, K., Tucker, J. D., Wu, W., and Srivastava, S., "Elastic handling of predictor phase in func- tional regression models", 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , Salt Lake City, UT, June 18-22, 2018.

  • Cleveland, J., Zhao, W., and Wu, W., "Robust template estimation for functional data with phase variability using band depth", Computational Statistics and Data Analysis, vol. 125, pp. 10-26, 2018.

  • Wesolowski, S, Vera, D., and Wu, W., "SRSF shape analysis for sequencing data reveal new differentiating patterns", Computational Biology and Chemistry, vol. 70, pp. 56-64, 2017. (pdf)

  • (conference paper) Cordova, J., Arghandeh, R., Zhou, Y., Wesolowski, S., Stifter, M., and Wu, W., "Shape-based data analysis for event classification in power systems", 2017 IEEE Manchester PowerTech, Manchester, UK, 2017. (pdf)

  • Cleveland, J., Wu, W., and Srivastava, A., "Registration with norm-invariant constraint and its application in signal estimation under compositional and additive noises", Journal of Nonparametric Statistics, vol. 28, pp. 338-359, 2016. (pdf)

  • Rosenthal, M., Wu, W., Klassen, E., and Srivastava, A., "Spherical regression models using projective linear transformations", Journal of American Statistical Association, vol. 109, no. 508, pp. 1615- 1624, 2014. (pdf)

  • Tucker, J. D., Wu, W., and Srivastava, A., "Analysis of signals under compositional noise with applications to SONAR data", IEEE Journal of Oceanic Engineering, vol.39, pp. 318-330, 2014. (pdf)

  • Wu, W. and Srivastava, A., "Analysis of spike train data: alignment and comparisons using extended Fisher-Rao metric", Electronic Journal of Statistics, vol. 8, pp. 1776-1785, 2014. (pdf)

  • Wu, W., Hatsopoulos, N., and Srivastava, A., "Introduction to neural spike train data for phase-amplitude analysis", Electronic Journal of Statistics, vol. 8, pp. 1759-1768, 2014. (pdf)

  • Wu, W., Hatsopoulos, N., and Srivastava, A., "Analysis of spike train data: discussion of results", Electronic Journal of Statistics, vol. 8, pp. 1808-1810, 2014. (pdf)

  • Tucker, J. D., Wu, W., and Srivastava, A., "Phase-amplitude separation of proteomics data using extended Fisher-Rao metric", Electronic Journal of Statistics, vol. 8, pp. 1724-1733, 2014. (pdf)

  • (conference paper) Wu, W., Srivastava, A., Laborde, J., and Zhang, J., ``An efficient multiple protein structure comparison method and its application to structure clustering and outlier detection '', IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shanghai, China, 2103. (pdf)

  • Kurtek, S., Wu, W., and G. Christensen, and Srivastava, A., "Segmentation, alignment and statistical analysis of biosignals with application to disease classification", Journal of Applied Statistics, vol. 40, no. 6, pp. 1270-1288, 2013. (pdf)

  • Tucker, J. D., Wu, W., and Srivastava, A. "Generative models for functional data using phase and amplitude separation", Computational Statistics and Data Analysis , vol. 61, pp. 50-66, 2013. (pdf)

  • (conference paper) Tucker, J. D., Wu, W., and Srivastava, A. "Analysis of signals under compositional noise with applications to SONAR data", Oceans '12 MTS/IEEE Conference , Hampton Roads, VA, 2012. (pdf)

  • (conference paper) Kurtek, S., Srivastava, A., and Wu, W. "Signal estimation under random time-warpings and nonlinear signal alignment", Neural Information Processing Systems (NIPS) , Granada, Spain, 2011. (pdf)

  Birdsong Production
  • Ross, M., Flores, D., Bertram, R., Johnson, F., Wu, W., and Hyson, R., "Experience-dependent intrinsic plasticity during auditory learning", Journal of Neuroscience, In Press.

  • Shaughnessy, D., Hyson, R., Bertram, R., Wu, W., and Johnson, F., "Against a vestigial interpretation of the song control network in female zebra finches", Journal of Comparative Neurology, In Press.

  • Galvis, D., Wu, W., Hyson, R., Johnson, F., and Bertram, R., "Interhemispheric dominance switching in a neural network model for birdsong", Journal of Neurophysiology, vol. 120, pp. 1186-1197, 2018.

  • Galvis, D., Wu, W., Hyson, R., Johnson, F., and Bertram, R., "A recurrent network model can explain the effects of targeted partial ablation of HVC on zebra finch song", Journal of Neurophysiology, vol. 118, pp. 677-692, 2017. (pdf)

  • Elliott, K., Wu, W., Bertram, R., Hyson, R., and Johnson, F., "Orthogonal topography in the parallel input architecture of songbird HVC", Journal of Comparative Neurology, vol. 525, no. 9, 2133-2151, 2017. (pdf)

  • Basista, M., Elliott, K., Wu, W., Hyson, R., Bertram, R., and Johnson, F., "Independent premotor encoding of the sequence and structure of birdsong syllables in avian cortex", Journal of Neuroscience, vol. 34, no. 50, pp. 16821-16834, 2014. (pdf)

  • Bertram, R., Daou, A., Hyson, R., Johnson, F., and Wu, W.,"Two neural streams, one voice: pathways for theme and variation in the songbird brain", Neuroscience, vol. 277, pp. 806-817, 2014. (pdf)

  • Elliott, K. C., Wu, W., Bertram, R., and Johnson, F., "Disconnection of a basal ganglia circuit in juvenile songbirds attenuates the spectral differentiation of song syllables", Developmental Neurobiology, vol. 74, pp. 574-590, 2014. (pdf)

  • Daou, A., Johnson, F., Wu, W., and Bertram, R., "A computational tool for automated large-scale analysis and measurement of bird-song syntax", Journal of Neuroscience Methods, vol. 210, no. 2, pp. 147-160, 2012. (pdf)

  • Thompson, J. A., Basista, M., Wu, W., Bertram, R., and Johnson, F., "Dual pre-motor contribution to songbird syllable variation", Journal of Neuroscience, vol. 31, no. 1, pp. 322-330, 2011. (pdf)

  • Wu, W., Thompson, J. A., Bertram, R., and Johnson, F., "A statistical method for quantifying songbird phonology and syntax", Journal of Neuroscience Methods, vol. 174, no. 1, pp. 147-154, 2008. (pdf) (software)

  • Thompson, J. A., Wu, W., Bertram, R., and Johnson, F., "Auditory-dependent vocal recovery in adult male zebra finches is facilitated by lesion of a forebrain pathway that includes the basal ganglia", Journal of Neuroscience, vol. 27, no. 45, pp. 12308-12320, 2007. (pdf)