Programme

Please click here for a PDF version of the final NAT'17 programme.

Day One

08:00 - 09:00 Conference registration at front desk
09:00 - 09:30 Introduction
09:30 - 10:30 Keynote 1: Robert Jacob — Implicit User Interfaces
10:30 - 11:00 Coffee Break
11:00 - 12:30 Session AI: Neuroadaptive Technology: Concepts Session AII: Evaluation Methodology
12:30 - 13:30 Lunch
13:30 - 14:30 Keynote 2: Makoto Miyakoshi — Computational Neuroscience of Human EEG
14:30 - 16:00 Session BI: Neuroergonomics Session BII: EEG Methodology
16:00 - 16:30 Summary of Each Session
16:30 - 17:30 Coffee Break
17:30 - 18:00 Poster Session 1 Spotlights
18:00 - 18:30 Young Visionaries Spotlights
18:30 - 20:30 Poster Session 1 with Award Evaluation
18:30 - 20:30 Welcome Reception with Cocktails

Day Two

09:00 - 10:00 Keynote 3: Surjo Soekadar — Applied Neurotechnology
10:00 - 10:30 Coffee Break
10:30 - 12:00 Session CI: Neuroadaptive Technology: Applications Session CII: Physiological Computing 1
12:00 - 13:00 Lunch
13:00 - 14:00 Keynote 4: Tim Mullen — Ubiquitous Neurotechnology in the Cloud
14:30 - 16:00 Session DI: Passive BCI Session DII: Physiological Computing 2
16:00 - 16:30 Summary of Each Session
16:30 - 17:00 Coffee Break
17:00 - 18:30 Tech Demos
19:30 Dinner

Day Three

09:00 - 10:00 Keynote 5: Pim Haselager — Neuroethics
10:00 - 10:30 Coffee Break
10:30 - 12:00 Session EI: Neuroadaptive Technology: Methods Session EII: MoBI
12:00 - 13:00 Lunch
13:00 - 14:30 Building the Society for Neuroadaptive Technology
14:30 - 16:00 Session FI: Neuroethics Session FII: Wearable Sensors
16:00 - 16:30 Summary of Each Session
16:30 - 17:00 Best Talk and Best Poster Award
17:00 - 17:30 Goodbye & Final Coffee

Session AI: Neuroadaptive Technology: Concepts
1. Cognitive Probing For Automated Neuroadaptation, Krol, Laurens Ruben
2. Endowing The Machine With Active Inference: A Generic Framework To Implement Adaptive BCI, Mladenovic, Jelena
3. Learning From Label Proportions In BCI -- A Symbiotic Design For Stimulus Presentation And Signal Decoding, Hübner, David

Session AII: Evaluation Methodology
1. From Univariate To Multivariate Analysis Of FNIRS Data, Middell, Eike
2. A Generalized Deep Learning Framework For Cross-domain Learning In Brain Computer Interfaces, Solon, Amelia Jane
3. Time-frequency Sensitivity Characterization Of Single-trial Oscillatory EEG Components, Meinel, Andreas

Session BI: Neuroergonomics
1. EEG, ECG And EOG Responses To Automated, Real Driving, Brouwer, Anne-Marie
2. Classification Of Concentration Levels Using Deep Neural Networks, Berkol, Ali
3. Assessing Implicit Attitudes During Human-technology Interaction Based On Neuroelectrical Evidence, Vukelic, Mathias

Session BII: EEG Methodology
1. Between-subject Transfer Learning For Classification Of Error-related Signals In High-density EEG, Voelker, Martin
2. Tracing Rhythmic Regularity Processing: Beat-based Beta Power Modulation In EEG Source Space, Brandl, Stephanie
3. Express Estimation Of Brain Rhythm Power For Low-latency Neurofeedback, Smetanin, Nikolai M.

Session CI: Neuroadaptive Technology: Applications
1. Investigating Neuroadaptive Technology For Speed Reading Applications, Andreeßen, Lena Merle
2. Toward Neuroadaptive Personal Learning Environments, Liu, Ruixue
3. Gaze Direction And The EEG Marker For Intention/expectation In Hybrid Interfaces, Shishkin, Sergei L.

Session CII: Physiological Computing 1
1. Wearable Sensors, Driving And The Visualization Of Cardiovascular Stress During Everyday Life, Dobbins, Chelsea
2. Evaluating FNIRS-based Workload Discrimination In A Realistic Driving Scenario, Herff, Christian
3. Five Layer Model For Physiological Computing, Kosunen, Ilkka Johannes

Session DI: Passive BCI
1. Detection Of Feedback-related Mental States With Error-related Spectral Perturbation, Mousavi, Mahta
2. A Collaborative BCI Trained To Aid Group Decisions In A Visual Search Task Works Well With Similar Tasks, Valeriani, Davide
3. Passive BCI Tools For Mental State Estimation In Aerospace Applications, Roy, Raphaëlle N.

Session DII: Physiological Computing 2
1. Cortico-cortical Spectral Responses Elicited By Closed-loop Stimulation In The Sheep Somatosensory Cortex, Gkogkidis, C. Alexis
2. Classification Of Multi-class Emotional States Using Convolutional Neural Networks – An EEG Study, Lee, Sunghan
3. Classification Of Cortical Responses To Visual Targets During A Physical-Cognitive Interaction Task, Nonte, Michael

Session EI: Neuroadaptive Technology: Methods
1. Investigating Responses To Letter Presentations In A Segment Speller, Stivers, Joshua Mykel
2. Useing BCIs For Benchmarking Adaptive And Low-resolution Daq EEG Approaches, Hairston, W. David
3. Intelligent Threshold Selection For Biocybernetic Loop In An Adaptive Video Game Context, Labonte-LeMoyne, Elise

Session EII: MoBI
1. Mobile Brain / Body Imaging (MoBI) Of Physical Interaction With Dynamically Moving Objects, Jungnickel, Evelyn
2. EEG And EMG Synchronization And Jitter Estimation For MoBI Experiments, Artoni, Fiorenzo
3. Neural Correlates Of Human Single- And Dual-task Natural Walking In The Urban Environment, Pizzamiglio, Sara

Session FI: Neuroethics
1. Neuroethics For Neuroadaptive Technology: The Case Of Passive Brain-Computer Interfaces, Brukamp, Kirsten
2. Hacking Minds, Hacking Brains, Hacking Augmented Bodies: Ethical Aspects Of Neurohacking, Ienca, Marcello
3. Evaluating Brain Reading’s Practical Applicability, Mecacci, Giulio

Session FII: Wearable Sensors
1. Interacting With Wearable Computers By Means Of Functional Electrical Muscle Stimulation, Lopes, Pedro
2. Measuring Academic Stress ‘in The Wild’ With Wearable Sensors: Removal Of Noise From Wearable Sensor Data Using Fir Filters, Harris, Benjamin Alexander
3. Mobile Brain/body Imaging (MoBI) Of Spatial Knowledge Acquisition During Unconstrained Exploration In VR, Gehrke, Lukas

PI: Poster Session 1
1. Signal Analysis Of Motor Imagery Tasks For Self-paced BCI Applications, Michaelovitch, Maor
2. Functional Cortical Networks For Auditory Distractor Supression During A Realistic Visual Search Task, Vukelic, Mathias
3. Re-thinking BCI Models As Noisy Sensors For Neural Analysis, Gordon, Stephen
4. A Biofeedback Approach To Investigate Neurocognitive Mechanisms Of Feedback-based Learning, Jaumard-Hakoun, Aurore
5. Finding EEG Frequency Bands Related To Concentration, Choi, Ga Young
6. Development Of A Neuroadaptive Gaming Technology To Distract From Painful Procedures, Stamp, Kellyann
7. Cortical Source Localization Of EEG Biomarkers In A Cognitive Brain Computer Interface Monitoring Working Memory Load, Mora-Sánchez, Aldo
8. Designing And Understanding Convolutional Networks For Decoding Executed Movements From EEG, Schirrmeister, Robin Tibor
9. Sigmabox: Towards A Simple And Efficient Matlab Toolbox For EEG Signal Processing And Classification, Medani, Takfarinas
10. EEG-based Biometric Authentication: A Preliminary Study, Choi, Sooin
11. Measuring Cognitive Conflict In Virtual Reality, Singh, Avinash Kumar
12. Neurophysiological Correlates Of Efficient Learning In The Neurofeedback Paradigm, Minkov, Vasiliy
13. User Identification From FNIRS Brain Data Using Deep Learning, Qori, Denisa
14. Decision Making Can Be Adapted To Improve The Information Transfer Rate Of A Hybrid BCI, McCullagh, Paul Joseph
15. Labelling Of Movement Onsets Based On Exoskeleton Joint Data, Kirchner, Elsa Andrea
16. Investigating Metrics For Measuring And Reminding Mindfulness Of School Students, Le, Nguyen-Thinh