The popularity of electroencephalography (EEG) research has been growing over the past years, especially as it relates to the understanding of human cognitive function. This growth has been in part due to recent methodological advances in the acquisition and analysis of time-resolved signals.

cuttingEEG was established to deal with the ever increasing demand for these methodological developments, that often require an advanced understanding of signal processing, machine learning and statistical pattern recognition.

cuttingEEG 2017 is the third Symposium of its kind and it brings together an impressive group of international experts to discuss and showcase the most up to date developments in the field. This four-day symposium will provide attendees with:

• 9 different 3-hour tutorials that will introduce a wide range of cutting-edge techniques in time-resolved signal analysis
• 12 talks by leading researchers in the field (spread over four thematic areas) who will introduce some of the most advanced methods for exploiting time-resolved signals
• 4 short debates on the utility of these methods and the need for future developments (following the talks in each of the four thematic areas)
• Attendees will also be offered the opportunity to present posters of their latest research during the duration of the event

Registration closes on 28 February 2017