Exploiting cognitive processes for brain-machine interaction
A half-day wokshop at the
Put yourself in the spotlight!! We’ll allocate time for selected presenters to briefly expose their ideas (3 min, one slide). Thought-provoking, controversial points are more than welcome. If you’re interested write us an email.
Besides decoding of brain activity for direct control of external devices, brain-machine interfaces can be used to identify correlates of cognitive processes such as motor planning, error awareness, or visuospatial attention, among others. Recent works have demonstrated the possibility of decoding these processes using both invasive and non-invasive approaches. Some examples include the extraction of information from motor intention and goals from intra-cortical recordings; the decoding of anticipatory processes during car-driving; or the use of error-related cortical potentials –in combination with reinforcement learning- to control neuroprosthetic arms.
This workshop follows on the success of the one we organized during the 2013 Asilomar meeting. It will allow attendees to review the evolution of research efforts on this topic, as well as the most recent trends, and potential research avenues worth to be explored in the following years.
Richard Andersen, California Institute of Technology, USA
Benjamin Blankertz, Technische Universität Berlin, Germany
The workshop is aimed at both novice and experienced researchers on BMI, as well as researchers in cognitive neuroscience and psychology.
- Andersen et al., Toward more versatile and intuitive cortical brain-machine interfaces. Curr Biol, 2014, 24, R885-R897
- Iturrate et al. Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control. Scientific Reports, 2015, 5, 13893
- Schultze-Kraft M, et al., The point of no return in vetoing self-initiated movements, PNAS, In press