First Biannual Neuroadaptive Technology Conference, Berlin

In July 2017, during 3 days, was held in Berlin the First Biannual Neuroadaptive Technology Conference where several scientific papers related to BCI were presented. Here are the titles of the various themes published that can be found here.

Keynote Lectures

• IMPLICIT USER INTERFACES
• COMPUTATIONAL NEUROSCIENCE OF HUMAN EEG – I see a solution. 
• APPLIED NEUROTECHNOLOGY - Towards clinical applications of neuroadaptive brain-computer interfaces 
• UBIQUITOUS NEUROTECHNOLOGY IN THE CLOUD - Into The Wild: When Neurotechnology Escapes the Lab and Other Adventures in Translation
• NEUROETHICS - Sense of agency and responsibility in neuroadapted action 

Neuroadaptive Technology: Concepts

• COGNITIVE PROBING FOR AUTOMATED NEUROADAPTATION 
• ENDOWING THE MACHINE WITH ACTIVE INFERENCE: A GENERIC FRAMEWORK TO IMPLEMENT ADAPTIVE BCI 
• LEARNING FROM LABEL PROPORTIONS IN BCI -- A SYMBIOTIC DESIGN FOR STIMULUS PRESENTATION AND SIGNAL DECODING 

Evaluation Methodology

• FROM UNIVARIATE TO MULTIVARIATE ANALYSIS OF fNIRS DATA 
• A GENERALIZED DEEP LEARNING FRAMEWORK FOR CROSS-DOMAIN LEARNING IN BRAIN COMPUTER INTERFACES 
• TIME-FREQUENCY SENSITIVITY CHARACTERIZATION OF SINGLE- TRIAL OSCILLATORY EEG COMPONENTS 

Neuroergonomics

• EEG, ECG AND EOG RESPONSES TO AUTOMATED, REAL DRIVING 
• CLASSIFICATION OF CONCENTRATION LEVELS USING DEEP NEURAL NETWORKS 
• ASSESSING IMPLICIT ATTITUDES DURING HUMAN-TECHNOLOGY INTERACTION BASED ON NEUROELECTRICAL EVIDENCE 

EEG Methodology

• BETWEEN-SUBJECT TRANSFER LEARNING FOR CLASSIFICATION OF ERROR-RELATED SIGNALS IN HIGH-DENSITY EEG 
• TRACING RHYTHMIC REGULARITY PROCESSING: BEAT-BASED BETA POWER MODULATION IN EEG SOURCE SPACE 
• EXPRESS ESTIMATION OF BRAIN RHYTHM POWER FOR LOW-LATENCY NEUROFEEDBACK 

Neuroadaptive Technology: Applications

• INVESTIGATING NEUROADAPTIVE TECHNOLOGY FOR SPEED READING APPLICATIONS 
• TOWARD NEUROADAPTIVE PERSONAL LEARNING ENVIRONMENTS 
• GAZE DIRECTION AND THE EEG MARKER FOR INTENTION/EXPECTATION IN HYBRID INTERFACES 

Physiological Computing

• WEARABLE SENSORS, DRIVING AND THE VISUALIZATION OF CARDIOVASCULAR STRESS DURING EVERYDAY LIFE 
• EVALUATING FNIRS-BASED WORKLOAD DISCRIMINATION IN A REALISTIC DRIVING SCENARIO 
• FIVE LAYER MODEL FOR PHYSIOLOGICAL COMPUTING 

Passive BCI

• DETECTION OF FEEDBACK-RELATED MENTAL STATES WITH ERROR-RELATED SPECTRAL PERTURBATION 
• A COLLABORATIVE BCI TRAINED TO AID GROUP DECISIONS IN A 
• VISUAL SEARCH TASK WORKS Well WITH SIMILAR TASKS 
• PASSIVE BCI TOOLS FOR MENTAL state estimation in aeroSPACE APPLICATIONS 

Physiological Computing

• CORTICO-CORTICAL SPECTRAL RESPONSES ELICITED BY CLOSED LOOP STIMULATION IN THE SHEEP SOMATOSENSORY CORTEX 
• CLASSIFICATION OF EMOTIONS USING CONVOLUTIONAL NEURAL NETWORKS – AN EEG STUDY 
• CLASSIFICATION OF CORTICAL RESPONSES TO VISUAL TARGETS DURING A PHYSICAL-COGNITIVE INTERACTION TASK 

Neuroadaptive Technology: Methods

• INVESTIGATING RESPONSES TO LETTER PRESENTATIONS IN A SEGMENT SPELLER 
• USING BCIS FOR BENCHMARKING ADAPTIVE AND LOW-RESOLUTION DAQ EEG APPROACHES 
• INTELLIGENT THRESHOLD SELECTION FOR BIOCYBERNETIC LOOP IN AN ADAPTIVE VIDEO GAME CONTEXT 

MoBI

• MOBILE BRAIN / BODY IMAGING (MoBI) OF PHYSICAL INTERACTION WITH DYNAMICALLY MOVING OBJECTS 
• EEG AND EMG SYNCHRONIZATION AND JITTER ESTIMATION FOR MOBI EXPERIMENTS 
• NEURAL CORRELATES OF HUMAN single- and dual-task NATURAL WALKING IN THE URBAN ENVIRONMENT 

Neuroethics

• NEUROETHICS FOR NEUROADAPTIVE TECHNOLOGY: THE CASE OF PASSIVE BRAIN-COMPUTER INTERFACES 
• HACKING MINDS, HACKING BRAINS, HACKING AUGMENTED BODIES: ETHICAL ASPECTS OF NEUROHACKING 
• EVALUATING BRAIN READING’S PRACTICAL APPLICABILITY 

Wearable Sensors

• INTERACTING WITH WEARABLE COMPUTERS BY MEANS OF FUNCTIONAL ELECTRICAL MUSCLE STIMULATION 
• MEASURING ACADEMIC STRESS ‘IN THE WILD’ WITH WEARABLE SENSORS: REMOVAL OF NOISE FROM WEARABLE SENSOR DATA USING FIR FILTERS 
• MOBILE BRAIN/BODY IMAGING (MOBI) OF SPATIAL KNOWLEDGE ACQUISITION DURING UNCONSTRAINED EXPLORATION IN VR 

Poster Session

• SIGNAL ANALYSIS OF MOTOR IMAGERY TASKS FOR SELF-PACED BCI APPLICATIONS 
• FUNCTIONAL CORTICAL NETWORKS FOR AUDITORY DISTRACTOR SUPRESSION DURING A REALISTIC VISUAL SEARCH TASK 
• RE-THINKING BCI MODELS AS NOISY SENSORS FOR NEURAL ANALYSIS 
• A BIOFEEDBACK APPROACH TO INVESTIGATE NEUROCOGNITIVE MECHANISMS OF FEEDBACK-BASED LEARNING 
• FINDING EEG FREQUENCY BANDS RELATED TO CONCENTRATION 
• DEVELOPMENT OF A NEUROADAPTIVE GAMING TECHNOLOGY TO DISTRACT FROM PAINFUL PROCEDURES 
• CORTICAL SOURCE LOCALIZATION OF EEG BIOMARKERS IN A COGNITIVE BRAIN COMPUTER INTERFACE MONITORING WORKING MEMORY LOAD 
• DESIGNING AND UNDERSTANDING CONVOLUTIONAL NETWORKS FOR DECODING EXECUTED MOVEMENTS FROM EEG 
• SIGMABOX: TOWARDS A SIMPLE AND EFFICIENT MATLAB TOOLBOX FOR EEG SIGNAL PROCESSING AND CLASSIFICATION 
• EEG-BASED BIOMETRIC AUTHENTICATION: A PRELIMINARY STUDY 
• MEASURING COGNITIVE CONFLICT IN VIRTUAL REALITY 
• NEUROPHYSIOLOGICAL CORRELATES OF EFFICIENT LEARNING IN THE NEUROFEEDBACK PARADIGM

For more information about BCI/EEG press here.