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Posters
Posters will be presented at the William Pitt Union Ballroom on Friday, May 30, from 5:30-9:30, with a break for dinner. If you plan to present a poster, you should use some time during Friday's lunch break to set it up. We will provide the poster boards (5'8" wide x 3'8" high), glue, tacks, scissors, etc. If you have any questions please address them to Lisa Bopp (lbopp at pitt.edu).
Poster abstracts received to date:
  1. Examining lumbar interneuronal dynamics during air-stepping Nicholas M. Au-Yong, Karen Ollivier-Lanvin, Michel A. Lemay
  2. Preliminary steps toward decoding cortical signals for multidimensional hand movement. L. Castellanos, M.C. Spalding, R. Kass and A.B. Schwartz
  3. Bursts and Oscillations as Independent Properties of Neural Activity in the Internal Globus Pallidus of Parkinson's Patients Vanessa Chan, Philip A. Starr and Robert S. Turner
  4. General adaptation strategies used to compensate for perturbations of a brain-computer interface Steven M. Chase; Andrew B. Schwartz, and Robert E. Kass
  5. Probabilistic Models and Inference Algorithms for Neuronal Decoding of UP and DOWN States Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A. Wilson, Emery N. Brown
  6. Application of nonparametric regression and bootstrapping on the unit sphere to motor cortical neuron tuning profiles Elan Cohen, Rob Kass, Andrew Schwartz
  7. Classification of Peripheral Sympathetic Nerve Activity in Multifiber Recordings with High Background Noise Michael Cohen, J. Andrew Taylor, Can Ozan Tan
  8. Using convex optimization for nonparametric statistical analysis of point processes with applications to neural spike train inference Todd P. Coleman and Sridevi Sarma
  9. Machine Learning Techniques for Quantifying Neural Synchrony: Application to the Early Diagnosis of Alzheimer's Disease from EEG Justin Dauwels
  10. Using correlation counts to infer relative strengths of functional connections in multi-neuronal spike trains C.O. Diekman, P.S. Sastry, and K.P. Unnikrishnan
  11. Querying for relevant stimuli Alexander Dimitrov
  12. A Two-Stage Paradigm for Reconstructing Functional Neuronal Circuits Seif Eldawlatly, Rong Jin and Karim Oweiss
  13. Maximum decoding abilities of temporal patterns and synchronized firings: application to auditory neurons responding to click trains and amplitude modulated white noise Boris Gourivitch, Jos J. Eggermont
  14. Dynamic interaction between prefrontal cortex and dorsal striatum during instrumental conditioning Houman Homayoun and Bita Moghaddam
  15. Predicting resting-state functional connectivity using structural connectivity in individual subjects. Honey CJ, Sporns O, Cammoun, Gigandet X, Meuli R, Hagmann P
  16. Decoding movement trajectories through a T-maze using point process filters applied to hippocampal place field data Huang Y., Eden U.
  17. Multimodal Fusion of Optical and fMRI Measurements using a Windkessel Vascular Model Theodore Huppert and David Boas
  18. Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models Rebecca A. Hutchinson and Tom M. Mitchell
  19. Bayesian Nonparametric Modeling for Comparison of Single-Neuron Firing Intensities Athanasios Kottas and Sam Behseta
  20. Online Spike Sorting with Optimal Multichannel Filters Michal Natora, Felix Franke, Clemens Boucsein, Matthias Munk and Klaus Obermayer
  21. Exploring the sensory and motor attributes of ensemble neural spiking activity using a network likelihood model Okatan M, MacDonald CJ, Eichenbaum H
  22. Data mining schemes for discovering functional connectivity patterns from multi-neuronal spike-trains Debprakash Patnaik, P.S. Sastry, K. P. Unnikrishnan
  23. STAR: Spike Train Analysis with R Christophe Pouzat, Antoine Chaffiol and Pierre Bohec
  24. A novel statistical significance test for inferring relative strengths of functional connectivity patterns from multi-neuronal spike trains P.S. Sastry, and K. P. Unnikrishnan
  25. Slepian-Based Compressive Sensing and Random Filtering of EEG Signals Seda Senay, Luis F. Chapparo, Mingui Sun and Robert J. Sclabassi
  26. State-space Analysis on Time-dependent Correlation in Parallel Spike Trains Hideaki Shimazaki, Emery N. Brown, and Sonja Gruen
  27. State-space and parametric models for characterizing behavioral facilitation associated with deep brain stimulation AC Smith, S Shah, AE Hudson, KP Purpura, JD Victor, EN Brown, ND Schiff
  28. Modal analysis of complex non-stationary signals: Application to Ensemble Brain Oscillations and Seizure-Related Intracranial EEG signals Caterina Stamoulis
  29. Inferring network structure from spikes Ian H. Stevenson, James M. Rebesco, Nicholas G. Hatsopoulos, Zach Haga, Lee E. Miller, Konrad P. Kvrding
  30. Low Frequency Electric Fields Entrain Neural Activity During Seizure S. Sunderam, N. Chernyy, J. Mason, S. L. Weinstein, S. J. Schiff, B. J. Gluckman
  31. Loss of balance in synaptic activity and circadian phase reversal during epileptogenesis in an animal model of limbic epilepsy Sachin S Talathi, Dong-Uk Hwang, William L Ditto, Paul R Carney
  32. Local and long-range interactions between Wilson-Cowan oscillators generate the characteristic frequencies of human EEG. Samuel Thorpe, Ramesh Srinivasan
  33. Neuronal activity in the rat prelimbic prefrontal cortex and cingulate cortex during a sustained attention task. N. K. Totah, H. Homayoun, and B. Moghaddam
  34. A Dynamical Point Process Model for Auditory Nerve Spiking Encoding Complex Sounds Andrea Trevino, Robert E. Wickesberg, Jont B. Allen, Todd P. Coleman
  35. Classifying Self-Modeling Regressions in Synaptic Transmission Data Rhonda VanDyke, Kert Viele, and Robin Cooper
  36. Analysis of Auditory Bistable Perception WR Winter, A Habibi, and D Hoffman
  37. Detection of bursts in neuronal spike trains using hidden semi-Markov point process models P. Xi, S.T. Tokdar, R.C. Kelly and R.E. Kass
  38. Time-dependent Association between Source Strength of Scalp EEG and Voluntary Muscle Activation Qi Yang, Xiaofeng Wang, Jing Z. Liu, Vlodek Siemionow, Vinod Sahgal, Guang H. Yue
  39. A Doubly Regularized Support Vector Machine for Automatic Channel Selection of Brain Computer Interface Jinyin Zhang, Gustavo Sudre, Jennifer Collinger, Xin Li, Wei Wang, Douglas Weber, Jeyanandh Paramesh and Gary Fedder