Showing posts with label Graz. Show all posts
Showing posts with label Graz. Show all posts

Tuesday, September 26, 2017

Annual BCI Award 2017 Nominees

List of the twelve nominees during the Annual BCI Award 2017 conference.


  • BCI prosthetic hand to control phantom limb pain
  • Implantable Communication BCI for Home-Use in Locked-In Syndrome
  • A brain-spine interface to alleviate gait deficits after spinal cord injury
  • BCI for Communication with Patients in Completely Locked-in State
  • Individual word classification during imagined speech
  • Restoration of finger movements in everyday life environments using a hybrid brain/neural hand exoskeleton
  • Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance
  • Targeted up-conditioning of contralesional corticospinal pathways promotes motor recovery in poststroke patients with severe chronic hemiplegia
  • Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality
  • High Performance BCI in Controlling an Avatar Using the Missing Hand Representation in Long Term Amputees
  • Online adaptive BCI with attention variations
  • Which BCI paradigm is better to induce agency or sense of control over movements?

For more information about BCI/EEG press here.


Thursday, August 10, 2017

Graz BCI Conference 2017

Three workshops will occur during Graz BCI Conference 2017:
  • Cloud-based BCIs: challenges and opportunities of home-use systems for big data collection;
  • Facilitators and barriers of using mobile EEG: a workshop using the extreme test case of BCIs for space flights;
  • Passive BCI, Lab Streaming Layer, and Neuroadaptive Technology.

Cloud-based BCIs: challenges and opportunities of home-use systems for big data collection
Bringing brain-computer interfaces from the lab environment into the homes of patients and consumers requires three components: 
  1. Cloud-based realtime signal processing and machine learning that generalises across large datasets, 
  2. Low-cost, wireless EEG hardware with sufficient signal quality for scientific and clinical purposes, 
  3. User-friendly, cross-platform software applications to make the system directly accessible to endusers. 
Tackling this challenge may be the key to enabling robust communication and control for patients, and breaking the limitations of current research in terms of sample size and longitudinal data. With this workshop we aim to bring experts from both inside and outside the BCI community together to inspire future work that will allow us to overcome existing boundaries, both in research and in clinical practice.

Facilitators and barriers of using mobile EEG: a workshop using the extreme test case of BCIs for space flights
Since the advent of mobile EEG with which the subject is no longer constrained by a lab environment, but can be tested in a realistic environment, an increasing number of application areas are opening up for investigation. For example, mobile EEG offers new research opportunities in Sports and Movement Science, Entertainment, Neuromarketing and more fundamental Cognitive Neuroscience. However, mobile EEG also confronts us with new technical and experimental challenges. During our workshop we aim to start a constructive multidisciplinary technology assessment to identify the main barriers and facilitators of mobile EEG. To facilitate the discussion, we focus on the extreme use scenario of Brain-Computer Interface research for space flights. Thus, speakers will first present their scientific findings, experience and challenges with mobile EEG. Then, we narrow the discussion to the extreme use scenario of BCI for space flights, which prepares workshop participants for a final group discussion.

Passive BCI, Lab Streaming Layer, and Neuroadaptive Technology
This workshop is aimed at participants interested in applications of BCI technology in Human‐Computer Interaction for users without disabilities. It is intended to represent the Society for Neuroadaptive Technology (SNAT) and to support the communication between this society and BCI researchers. Dr. Thorsten O. Zander will present and discuss the aims of passive BCI research, Neuroadaptive Technology and modern Human‐Computer Interaction. This part represents a forum to identify synergies and develop new ideas. Dr. David Medine and Ratko Petrovic, will present technological developments for passive and hybrid BCIs. Dr. Medine will present the Lab Streaming Layer (LSL), an open‐source software project for synchronized, multi‐modal data streaming and recording. Mr. Petrovic will present recent hardware developments compatible with LSL. The third part is a hands‐on demonstration with Neuroadaptive Technologies. In several groups,participants use an application combining passive BCI, gaze control and dry electrodes.

For more information about BCI/EEG press here.


Tuesday, November 22, 2016

7th Graz BCI Conference

The Institute of Neural Engineering is currently organizing the 7th Graz BCI Conference, in September 2017 endorsed by the BCI Society.


Important Dates:

  • Submission opens: Dec. 1st 2016
  • Deadline Paper submission: Feb. 1st 2017
  • Deadline Satellite Events: Feb. 1st 2017
  • Satellite Event Notification: Mar. 1st 2017
  • Paper Acceptance Notification: April 15th 2017


Thursday, March 03, 2016

BCI Jobs - PhD and PostDoc Positions at Graz BCI Lab

A PostDoc position is available at the Institute of Neural Engineering, Graz-BCI Lab, Austria.

We are looking for a person with a PhD in information & computer engineering, computer science, biomedical engineering, or neuroscience with experience and background in the following fields: EEG, neuroscience, biosignal processing, machine learning, brain-computer interfaces, motor neuroprosthetics, feedback, functional brain mapping but also skills in managing a project and supervising students.

Monthly remuneration € 3.590,70 gross (14× per annum), starting at May 1 2016.



There are also, not one but, several PhD positions available.

We are looking for a person with a MSc or Dipl.-Ing. in information & computer engineering, computer science, biomedical engineering, with experience/background in some of the following fields: EEG, neuroscience, biosignal processing, machine learning, brain-computer interfaces, motor neuroprosthetics, functional brain mapping. 

Monthly remuneration € 2.696,50 x 14 gross (14× per annum), starting at May 1 2016.


More information about this Jobs can be found on the website:http://bci.tugraz.at/