The International Epilepsy Electrophysiology Portal is a collaborative initiative funded by the National Institutes of Neurological Disease and Stroke. This initiative seeks to advance research towards the understanding of epilepsy by providing a platform for sharing data, tools and expertise between researchers. The portal includes a large database of scientific data and tools to analyze these datasets. (United States National Institutes of Health Grant #1 U24 NS063930-01)

New Release!

Dear IEEG-Portal user:

We have just released a major update to the IEEG-Portal. The goal for this release was to significantly improve the flexibility of the web-console and to improve the usability of the Matlab Toolbox. Please make sure that you download the latest Matlab toolbox (ieeg-matlab-0.8.1.zip) from: https://code.google.com/p/braintrust/downloads/list

Major updates:

Youtube Introduction

Some of our summer students have put together two short YouTube videos explaining the process of requesting a user-account and how to navigate on the IEEG-Portal. The videos can be found on the IEEG-Portal YouTube channel:

IEEG-Portal Channel

Update Information

Dear IEEG-Portal user,

The number of projects on the portal is increasing steadily, and we are adding new capabilities to serve our growing community. We would like to inform you about some of the new features that are included in the latest release of the portal:

1) Data Handling, and Efficiency: You’ll notice that speed for downloading data is much improved. This includes both CSV downloads and interactions using the Matlab interface.

The portal on Amazon!

As of last week, the IEEG-Portal is running on the Amazon cloud. The web-server runs on an EC2 node and the data is stored using Amazon's S3 service. The transition from the servers at the University of Pennsylvania to Amazon will allow more users to log on simultaneously and provide a more expandable long term solution for the IEEG-Portal. We will open the portal to more users over the next few weeks.

Transition to the Amazon Cloud

Over the last couple of months, the IEEG-Portal team has been working hard to transition the Portal from the servers of the University of Pennsylvania to the Amazon Cloud. In addition, we are transferring the datasets to Amazon S3 storage. This transition will allow the project to expand and serve more users simultaneously and allows us to focus on new capabilities of the IEEG-Portal.

The Portal Opens…

The system is up and running, and we are doing this first wave of releases for what we call our "Friends of Portal (FOP)". This initial group of investigators will be instrumental in crafting and publishing our first group of collaborative experiments and help us upgrade and improve the site and tools. We intend for the portal to be a resource for the scientific community, and want to convey how important you are to the development process. We want you to dig in, take ownership of the site with us, and help us move it forward.

We Need Your Input

Take the first step in collaborative research by giving us your opinion. Help us prioritize our efforts by taking a few moments to complete this survey: http://www.surveymonkey.com/s/PYX6TJY

Thank you!

Welcome AES Workshop!

Welcome to the International Electrophysiology Epilepsy Data Portal!

A copy of the workshop slides is at http://www.ieeg.org/IEEG%20-%20AES.pdf

Please complete the following survey: http://www.surveymonkey.com/s/PYX6TJY

-- the ieeg.org team

Announcing the IEEG Web Experiment Console

Our goal is to enable more effective experimental science, in part by exploiting cloud-based services. Traditionally, the approach to doing better data-centric experimentation involves collecting data from collaborators, importing it, finding the appropriate file converters, visualizers, and tools, and installing everything on a local machine. Even worse, for large multi-TB datasets like high-resolution EEG data, this is a very slow and expensive proposition.

International Epilepsy Electrophysiology Portal

One of the most exciting developments in treating people with epilepsy, since the turn of the century, is a paradigm shift in our understanding of how epileptic seizures are generated.  Rather than starting as abrupt, random events, new evidence suggests that seizure generation is probabilistic, with precursors that wax and wane before some synchronizing event triggers clinical seizures.  This line of research has given rise to devices to warn of and pre-empt seizures, some now in clinical trials, and promises exciting therapeutic benefits to patients on the horizon.

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