Presented under the auspices of the DIMACS/BioMaPS/MB Center Special Focus on Information Processing in Biology.
This special focus is jointly sponsored by the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), the Biological, Mathematical, and Physical Sciences Interfaces Institute for Quantitative Biology (BioMaPS), and the Rutgers Center for Molecular Biophysics and Biophysical Chemistry (MB Center).
Wednesday, February 15, 2006
8:00 - 1:00 Registration
Conference Registration Desk
8:45 - 9:00 Opening remarks from the Conference Organizers
Session W1 - Chairman: Panos M. Pardalos
9:00 - 10:00 Sourcing Organizing Concepts for Neocortical Data from Many-Body Physics
Keynote Speaker: Walter J. Freeman, University of California
10:00 - 10:30 A Feedback Control Systems View of Epileptic Seizures
Kostas Tsakalis, Arizona State University
10:30 - 11:00 Break
Session W2 - Chairman: W. Art. Chaovalitwongse
11:00 - 11:25 Neural Information Flow Networks in Songbirds
Alexander Hartemink, Duke University
11:25 - 11:50 Visual Analysis for Comparing Structure, Timing and
Synchronization Properties of Neural Populations
Kay A. Robbins, University of Texas at San Antonio
11:50 - 12:15 Dynamical EEG Properties in the Limbic Epilepsy Rat Model
Paul R. Carney, University of Florida
12:15 - 12:45 Dynamical State Dependent Electrical Stimulation for Seizure
Control in a Chronic Limbic Epilepsy Model
Sandeep P. Nair, University of Florida
12:45 - 2:15 Lunch
Session W3 - Chairman: Leonidas D. Iasemidis
2:15 - 2:40 Online Analysis of Device-Tissue Interactions -
Modeling Tissue Impedance Spectra
Aparna Gupta, Rensselaer Polytechic Institute
2:40 - 3:05 Group Sensing with Electroencephalograms (EEG)
David Rosenbluth, Telecordia, NJ
3:05 - 3:30 BrainMiner: A Visual Analytics Tool for the Discovery of
Functional Relationships in the Human Brain
Klaus Mueller, Stony Brook University
3:30 - 4:00 Neural Networks, Monte Carlo Methods, and Real-world Neurons
Jeff Knisley, East Tennessee State University
4:00 - 4:30 Break
Session W4 - Chairman: Onur Seref
4:30 - 4:55 A Simulation Tool Using Discrete Integrate and Fire Neurons:
Modeling the Influence of Anatomy on Information Flow in Very
Large Simulated Networks
Maya Maimon, University of Haifa
4:55 - 5:20 Shape Analysis for Automated Sulcal Classification and
Parcellation of MRI Data
Monica K. Hurdal, Florida State University
5:20 - 5:45 A New Brain Mapping Based on the Visualization and Modeling
of the Short Term Maximum Lyapunov Exponent
Nadia Mammone, Reggio Calabria, Italy
Conference Dinner
7:30 University Hotel and Conference Center (Hilton Hotel)
Thursday, February 16, 2006
8:00 - 1:00 Registration
Conference Registration Desk
Session T1 - Chairman: Panos M. Pardalos
9:00 - 10:00 Probing Brain Function Across Different Spatial and
Temporal Scales with Tomographic Analysis of
Magnetoencephalographic Signals
KEYNOTE SPEAKER: Andreas Ioannides,
Lab for Human Brain Dynamics, Brain Science Institute (BSI),
RIKEN, Japan
10:00 - 10:45 Statistical Modeling of Neurobiological Data
Mingzhou Ding, University of Florida
10:45 - 11:15 Break
Session T2 - Chairman: Leonidas D. Iasemidis
11:00 - 11:25 Adaptations of Stationary Analytics Techniques to
Understand the Nonstationary Neural Activity Underlying
Performance of a Complex Cognitive Task
Linda Hermer-Vazquez, University of Florida
11:25 - 11:50 Current Source Density Analysis of Ongoing Neural Activity:
Theory and Applications
Mukesh Dhamala, University of Florida
11:50 - 12:15 Tracking Spatio-Temporal Changes in ECOG
Anant Hegde, University of Florida
12:15 - 12:45 Probability Distribution Function and Optimal Strategy
for Natural Selection
Su-Shing Chen, University of Florida
12:45 - 2:15 Lunch
Session T3 - Chairman: W. Art Chaovalitwongse
2:15 - 2:40 Discrimination and Classification by Mixed Integer Programming
Fred Glover, University of Colorado
2:40 - 3:05 Computational Evaluation of Mixed Integer Programming Models
for Discrimination and Classification
Fang Liang, University of Colorado
3:05 - 3:30 Hyperplane-Based Decision Trees and Their Optimization
Michele Samorani, DEIS - Università degli Studi di Bologna
3:30 - 4:00 Reading the mind: fMRI Analysis Via One-Class
Machine Learning Techniques
Larry Manevitz, University of Haifa
4:00 - 4:30 Break
Session T4 - Chairman: Wichai Suharitdamrong
4:30 - 4:55 Change Detection of Synchrony in Oscillatory Neurophysiologic Signals
Qiang Huang, University of South Florida
4:55 - 5:20 Development of a Rodent Seizure Control System Using
Intracerebroventricular Injections of Midazolam
Kevin Kelly, Drexel University College of Medicine and Center for Neuroscience Research
5:20 - 5:45 Distinguishing Independent Bi-Temporal from Unilateral
Onset in Epileptic Patients by the Analysis of Nonlinear
Characteristics of EEG Signals
Chang-Chia Liu, University of Florida
Conference Dinner
7:30 University Hotel and Conference Center (Hilton Hotel)
Friday, February 17, 2006
Session F1 - Chairman: Panos M. Pardalos
9:00 - 10:00 Evolution as the Blind Engineer: Wiring Minimization in the Brain
KEYNOTE SPEAKER: Dmitri Chklovskii, Cold Spring Harbor Laboratory
10:00 - 10:45 Resetting of Brain Dynamics by Epileptic Seizures
Leonidas D. Iasemidis, Arizona State University
10:45 - 11:15 Break
Session F2 - Chairman: Onur Seref
11:00 - 11:25 Biomarker Discovery in Ischemic Stroke - A Neuroproteomic Study
Andrew K. Ottens, University of Florida
11:25 - 11:50 Differential Proteomic Analysis of Traumatic Brain Injury
Biomarker Study
Kevin K. W. Wang, University of Florida
11:50 - 12:15 Fuzzy Hyperplane Clustering Algorithm and Applications
to Sparse Representations
Pando Georgiev, University of Cincinnati
12:15 - 12:45 Quadratic Programming Approach for Clustering Epileptic Brain
W. Art Chaovalitwongse, Rutgers University
12:45 - 2:15 Lunch
Session F3 - Chairman: W. Art Chaovalitwongse
2:15 - 2:40 Parallel Image Clustering using Level Set Methods
Moongu Jeon, Gwangju Institute of Science and Technology, Korea
2:40 - 3:05 Choosing the Appropriate Level of Abstraction for Brain
Machine Interfaces: Data Collection and Analysis Insights
Justin C. Sanchez, University of Florida
3:05 - 3:30 Dyslexia: An Example of Natural Variation in Large-Scale
Neural Network Organization
Richard E. Frye, University of Florida
3:30 - 4:00 Kernel Based Methods Applied to Single Trial Neural Signals
Onur Seref, University of Florida
4:00 - 4:30 Break
Session F4 - Chairman: Chang-Chia Liu
4:30 - 4:55 Tabu Search Enhanced Graphical Models for Classification
of High Dimensional Data
Xue Bai, Carnegie Mellon University
4:55 - 5:45 MEG in Dyslexia: A Power and Coherence Study
Yan Zhang, University of Florida
5:20 - 5:45 Graph Theory-Based Data Mining Techniques to Study Brain
Similarity Network of Epileptic Brain
Wichai Suharitdamrong, University of Florida
5:45 - 6:00 Closing Remarks
Plenary Talk:
1. Evolution as the Blind Engineer: Wiring Minimization in the Brain
Dmitri Chklovskii ( Cold Spring Harbor Laboratory)
2. Sourcing organizing concepts for neocortical dynamic data from
many-body physics
Walter J. Freeman (University of California, Berkeley)
3. Probing Brain Function Across Different Spatial and Temporal
Scales with Tomographic Analysis of Magnetoencephalographic Signals
Andreas Ioannides (Brain Science Institute, RIKEN, Japan)
Invited and and Contributed Talks:
4. Tabu Search Enhanced Graphical Models for Classification of
High Dimensional
Xue Bai (Carnegie Mellon University)
5. Dynamical EEG Properties in the Limbic Epilepsy Rat Model
Paul R. Carney (University of Florida)
6. Cluster Analysis of Epileptic Brains
W. Art Chaovalitwongse (Rutgers University)
7. Probability Distribution Function and Optimal Strategy for Natural Selection
Su-Shing Chen ( University of Florida)
8. Current Source Density Analysis of Ongoing Neural Activity:
Theory and Applications
Mukesh Dhamala (University of Florida)
9. Statistical Modeling of Neurobiological Data
Mingzhou Ding (University of Florida)
10. Dyslexia: An Example of Natural Variation in Large-Scale Neural
Network Organization
Richard E. Frye (University of Florida)
11. Fuzzy Hyperplane Clustering Algorithm and Applications to Sparse Representations
Pando Georgiev (University of Cincinnati)
12. Discrimination and Classification by Mixed Integer Programming
Fred Glover (University of Colorado)
13. Online Analysis of Device-Tissue Interactions-Modeling Tissue
Impedance Spectra
Aparna Gupta ( Resselaer Polytechnic Institute)
14. Reading the Mind: fMRI Analysis Via One-Class Machine Learning Techniques
Larry Manevitz (University of Haifa, Israel)
15. Neural Information Flow Networks in Songbirds
Alexander Hartemin ( Duke University)
16. Tracking Spatio-Temporal Changes in ECOG
Anant Hegde (University of Florida)
17. Adaptations of Stationary Analytics Techniques to Understand the
Nonstationary Neural Activity Underlying Performance of a Complex
Cognitive Task
Linda Hermer-Vazquez (University of Florida)
18. Change Detection of Synchrony in Oscillatory Neurophysiologic Signals
Qiang Huang (University of South Florida)
19. Shape Analysis for Automated Sulcal Classification and Percellation
of MRI Data
Monica K. Hurdal (Florida State University)
20. Resetting of Brain Dynamics by Epileptic Seizures
Leonidas D. Iasemidis (Arizona State University)
21. Parallel Image Clustering using Level Set Methods
Moongu Jeon (Gwangju Institute of Science and Technology, Korea)
22. Development of a Rodent Seizure Control System using Intracerebroventricular
Injections of Midazolam
Kevin Kelly (Drexel University)
23. Neural Networks, Monte Carlo Methods, and Real-world Neurons
Jeff Knisley (East Tennessee University)
24. Computational Evaluation of Mixed Integer Programming Models for
Discrimination and Classification
Fang Liang (University of Colorado)
25. Distinguishing Independent Bi-Temporal from Unilateral Onset in
Epileptic Patients by the Analysis of Nonlinear Characteristics of EEG Signals
Chang-Chia Liu (University of Florida)
26. A New Brain Mapping Based on the Visualization and Modeling of the Short
Term Maximum Lyapunov Exponent
Nadia Mammone (Reggio Calabria, Italy)
27. A Simulation Tool Using Discrete Integrate and Fire Neurons: Modeling
the Influence of Anatomy on Information Flow in Very Large Simulated Networks
Nadia Maimon (University of Haifa, Israel)
28. BrainMiner: A Visual Analytics Tool for the Discovery of Functional
Relationships in the Human Brain
Klaus Mueller (Stony Brook University)
29. Dynamical State Dependent Electrical Stimulation for Seizure Control
in a Chronic Limbic Epilepsy Model
Sandeep P. Nair (University of Florida)
30. Biomarker Discovery in Ischemic Stroke ? A Neuroproteomic Study
Andrew K. Ottens (University of Florida)
31. Visual Analysis for Comparing Structure, Timing and Synchronization
Properties of Neural Populations
Kay A. Robbins (University of Texas at San Antonio)
32. Group Sensing with Electroencephalograms (EEG)
David Rosenbluth (Telecordia)
33. Hyperplane-Based Decision Trees and Their Optimization
Michele Samorani (Università degli Studi di Bologna, Italy)
34. Choosing the Appropriate Level of Abstraction for Brain Machine
Interfaces: Data Collection and Analysis Insights
Justin C. Sanchez (University of Florida)
35. Kernel Based Methods Applied to Single Trial Neural Signals
Onur Seref (University of Florida)
36. Graph Theory-Based Data Mining Techniques to Study Similarity of
Epileptic Brain Network
Wichai Suharitdamrong (University of Florida)
37. A Feedback Control Systems View of Epileptic Seizures
Kostas Tsakalis (Arizona State University)
38. Differential Proteomic Analysis of Traumatic Brain Injury
Biomarker Study
Keving K.W. Wang (University of Florida)
39. MEG in Dyslexia: A Power and Coherence Study
Yan Zang (University of Florida)
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