Program: (abstract download) This one-day workshop will contain two sessions: Each session will include
oral presentations followed by panel discussions with the participation of
leading experts in the field. Student members will conduct poster
presentations during coffee breaks and between sessions. Session 1: New signal processing
methodologies to electrophysiological data collection and preprocessing of
spikes, LFP, ECoG, EEG, and EMG. 8:30-9:30 Introduction
Sanchez/Principe 9:30-10:30 Emery Brown, Signal processing algorithms to decipher brain function 10:30-11:30 Dong Song, Multiple-Input Multiple-Output
Nonlinear Dynamic Modeling of Spike Train Transformations for Hippocampal-Cortical Prostheses Presentation *Dong Song, Rosa H. M. Chan, Vasilis Z. Marmarelis, Robert
E. Hampson, Sam A. Deadwyler,
Theodore W. Berger 11:30-12:30 Kevin Otto, Where should I stimulate and what about
the reactive tissue response? Presentation 12:30-2:30 Break/Lunch/Posters/Student
Demos Session 2: Challenges in modeling for
Brain-Machine Interfaces. 2:30-3:30 Paul Sajda, Spatio-temporal linear filters for decoding
brain state: Application to performance
augmentation in high-throughput tasks Presentation 3:30-4:30 Jennie Si, Asynchronous control for Brain-Machine Interfaces *Jennie Si, Byron Olson, James
Dankert 4:30-5:30 Sung-Phil Kim, Cortical Control of a 2D
Cursor by a Human with Tetraplegia using a Direct
Intracortical Neural Interface System Presentation *S. P.
Kim, J. D. Simeral, L. R. Hochberg, J. P. Donoghue, M. J. Black 5:30 Summary
Sanchez/Principe Justin C.
Sanchez, Ph.D, (University of Florida, Neuroprosthetics
Research Group, http://nrg.mbi.ufl.edu) Jose C.
Principe, Ph.D, (University of Florida, Computational NeuroEngineering
Laboratory, http://www.cnel.ufl.edu) Acknowledgements:
Header Image: Copyright © Orlando/Orange County Convention and Visitors
Bureau, Inc.; All
subsequent images from BrainMaps.com Web
Design by Joelle Payne Workshop
on Innovation in Computational Approaches for Brain-Machine Interfaces Friday, August 17,
2007: 8:30
AM – 12:30 PM and 1:30
PM – 5:30 PM Description: Brain-Machine
Interfaces (BMI) communicate with the nervous system to provide lost
sensory input, repair connectivity between brain structures, or translate
intention of movement to treat the paralyzed, blind, and deaf. They require
beyond state of the art electronics and data processing methods to
effectively interact with the nervous system. Underlying these
applications, we will discuss the computational challenges for
understanding how individual neurons, neural circuits, and systems interact
through spikes, LFPs, ECoGs,
EEGs, and EMG to produce behavior. This workshop will also study recent
innovations including the use of data driven experimental paradigms in animals
and humans to improve the fundamental concepts and computational modeling
framework for explaining the physiological relationships in real neural and
behavioral datasets. New quantitative tools to extract and represent
control features from multivariate datasets will be introduced. Below is a brief list of issues to be discussed: - Strategies for dealing with nonstationarities
in real BMI applications - Techniques to analyze the spatio-temporal
processes that activate behavior
- Control
feature extraction from spikes, LFPs, ECoG, and EEG
- Data compression and
representation of neural activity
- Optimization of input-output
models for mapping neural activity
to behavior
- Computing with spikes
