EMSE Suite Workshop - Princeton
Following the Cognitive Neuroscience Society Meeting
Hosted jointly by Source Signal Imaging and Princeton University
May 9, 2007
Princeton University
Princeton, NJ USA
We are pleased to invite you to a
free 1-day EMSE® Suite software
workshop Wednesday, May 9, 2007 in Princeton just after the CNS 2007 convention
in New York. This will be a valuable opportunity, both
to learn about the software, and to meet with other EMSE users and SSI staff. We hope you will register to attend!
The workshop is hosted by Dr. Rafael
Escobedo, Department of Psychology, Princeton University. The workshop, to be
given by Richard E. Greenblatt and Mark E. Pflieger of Source Signal
Imaging, Inc., will emphasize practical details for using effectively the
new features of EMSE® Suite v5.2 as shown below. Please let us know if you have a special interest in
any of these or other
topics.
The workshop will focus on new features in EMSE® v5.2, including:
- Improved tools for ERP/ERF preprocessing and analysis
- Compressed trial array, an interactive tool that facilitates
visual inspection and correction of trials and channels
- Batch averaging, which permits the user automatically to train
the software on averaging procedures while exploring the data, then
apply the training to additional datasets
- Peak detection, which may be used to automate the export of
features such as latency and amplitude to be used for e.g., ANOVA
analysis
- Added functional connectivity tools
- Dynamic Imaging of Coherent Sources (DICS) , a new tools for
source space connectivity analysis
- Wavelet-based phase synchronization estimation in signal space
or source space
- Additional time series display features, including one-click single
channel display, channel display reordering, and copy-and-paste display
preferences.
We also review some of the most significant features of the software,
including:
- Basic EMSE software functionality for time series (e.g., filtering,
averaging) and image data (e.g., importing scanner data, creating and
viewing volumetric datasets)
- Beamformers and other source estimation techniques for both source
location and time series estimation
- Non-parametric statistical mapping, in both time and frequency
domains
- MRI processing, brain extraction and realistic (BEM/FEM) model
building
Optional topics may include:
- Automatic identification of interictal spikes (ASpiRe algorithm)
- ECoG visualization
Click the link at the top-left side of the page to download a
detailed workshop schedule.
Who Should Attend
The workshop is
intended to be useful for both new and experienced EMSE users, as well as
those potential users who wish more information regarding either the
software or the principles of multimodal source estimation, as implemented
in EMSE Suite. Experienced functional brain imagers who want specific
information regarding analysis techniques for EEG/MEG-based brain dynamics
studies will also find the workshop to be of value.
Format
The workshop
consists of lectures, software demos, discussion and labs. Bring your
laptop, and you can install the new EMSE 5.2 software. In addition, you can bring
your own data or use sample data that we will provide.
Hotel
Accommodations
Hotel information in the Princeton vicinity is available from
http://www.campustravel.com/university/princeton/visit2.htm.
If you would like to stay at the Nassau Inn (located close to the workshop
site), the university rate is available by contacting Rafael at
escobedo@princeton.edu.
Alternatively, Princeton is about 1 hour by train from New York's Penn
Station.
Cost and Registration
The workshop is free, and advance registration
is required, since space is limited. To reserve a place, or request
additional information, please visit the
on-line
registration form. |
