In the next 50 years we will witness the coming of age of technologies for fluent brain-computer and computer-mediated brain-to-brain interaction. While recent research has delivered important breakthroughs in brain-to-computer transmission, little has been achieved in the other direction – computer-controlled brain stimulation.
HIVE is a FET Open FP7 EU project (2008-2012). Our goal is to research stimulation paradigms to design, develop and test a new generation of more powerful and controllable non-invasive brain stimulation technologies. HIVE will develop improved electrical current distribution and multi-scale neuron-current interaction models and carry out stimulation experiments using tDCS, TMS, EEG and fMRI in different scenarios, and based on these develop multisite transcranial current stimulation technologies implementing real time EEG monitoring and feedback.
HIVE will also explore high-level communication using stimulation, stimulation during different states of consciousness, stimulation and therapy, as well as ‘sense synthesis’, that is, the construction of new perceptions deriving from sensors interacting directly with brains through stimulation systems––all with the goal of probing the limits of non-invasive computer-to-brain interfaces.
The project will also organise two international workshops and carry out dissemination and socio-ethical impact analysis tasks.
We believe that given the fundamental role of interaction in human experience, advances in this area can deliver breakthrough technologies of great value in addition to advancing the state-of-the-art in fundamental neuroscience research, neurology diagnosis and therapy.
HIVE is a 4 year long project funded by the European Commission and coordinated by Starlab under the Future Emerging Technologies (FET) - Information and Communication Technologies (ICT) program nursery of novel and emerging scientific ideas. [2008-2012]
To learn more, read our project presentation.
|HIVE-project presentation 20080909 15-15-09.pdf||1.45 MB|
IEEE Neural Systems and Rehabilitation Engineering
- Front cover
- IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information
- Sliding HDCA: Single-Trial EEG Classification to Overcome and Quantify Temporal Variability
- Synchronization of EEG: Bivariate and Multivariate Measures
- Combined EEG-fNIRS Decoding of Motor Attempt and Imagery for Brain Switch Control: An Offline Study in Patients With Tetraplegia
[RSS] Journal of NeuroEngineering and Rehabilitation
- Autonomic responses to correct outcomes and interaction errors during single-switch scanning among children with severe spastic quadriplegic cerebral palsy
- The role of exergaming in Parkinson's disease rehabilitation: a systematic review of the evidence
- A task-specific interactive game-based virtual reality rehabilitation system for patients with stroke: a usability test and two clinical experiments
- Movement-generated afference paired with transcranial magnetic stimulation: an associative stimulation paradigm