Call for Workshops - 6th International BCI

I give knowledge of an email I received from Jane Huggins, PhD, BCI Meeting Chair, about the 6^th International BCI Meeting calling for workshops.  

Up to 15 workshops will be held in each time slot and will be devoted to 3 hour workshops that will run concurrently. Each workshop will engage 10-40 participants and focus on a specific topic. Workshops can combine invited talks, targeted discussions, demonstrations, hands-on exercises and/or sharply focused debates as the leaders see fit. Workshop organization should include the participation of senior researchers to ensure proper coverage of the topic.

Researchers and/or practitioners wishing to organize workshops should submit an informal 5-line workshop description to workshops@meetings.bcisociety.org for pre-acceptance. These short descriptions will be screened to minimize topic overlaps and to join groups together.  

Main proposals should include:

• Workshop title
• Leader(s) Name(s) and Email(s) and short Bio(s)
• Description of the workshop topic and goals
• Detailed workshop timetable

Important dates deadlines:

• Proposal Pre-Submission: November 1 2015 
• Main Proposal Submission: December 1 2015

OpenBCI - 32 bit board kit

OpenBCI is a group of  researchers, engineers, scientists, designers, etc, that "shares a passion for harnessing the electrical signals of the human brain and body to further understand and expand who we are". 

OpenBCI stands for open-source brain-computer interface (BCI). with an hardware device that has a bio-sensing microcontroller that can sample electrical brain activity (EEG), muscle activity (EMG), heart rate (EKG).

The price of the new 32-bit Board Kit (chipKIT™-compatible) version is about $449,99. More infomation can be obtained in his forum.

BCI Events 2015 / 2016

Interest in BCIs is growing both by the scientific community, medical and general public. An example of this is the growing number of solutions, published articles and events related to this area.

Here's the list for the next world events described by name, local and date:

• Cybathlon 2016 – Switzerland, October 2016 
• International BCI Meeting 2016 – USA, May 2016 
• IEEE World Congress on Computational Intelligence – Canada, July 2016 
• 4th International Winter Conference on BCI – Korea, February 2016 
• German-Japanese workshop on Adaptive BCI - Japan, October 2015 
• International Conference on Systems and Cybernetics - China, October 2015 
• IEEE SMC 2015 5th Workshop on BMI Systems - China, October 2015 
• 4th International Workshop on Symbiotic Interaction – Germany, October 2015 
• 7th Computer Science & Electronic Eng. Conference – UK, September 2015 
• 6th International Conference on Affective Computing – China, September 2015 
• 4th Workshop on Affective Brain-Computer Interaction – China, September 2015 
• 2015 Summer School on Neurorehabilitation – Spain, September 2015

This list was obtained from BNCI Horizon 2020.

Faculty positions in Biomedical Engineering / BCI

The University of California at Davis has positions available in Brain-Computer Interfaces area. 

The research program of a successful candidate is expected to integrate campus strengths in engineering, neurosciences, and medicine. Candidates interested in helping lead efforts to integrate these disciplines on the UC Davis campus, possibly as part of a new Center for Neuroengineering & Medicine, are encouraged to apply. The current positions are part of a cluster of hires that will also include an associated position in neurobiology/motor control.

For more information press here.

International Brain-Computer Interface (BCI) Meeting 2016

The new BCI meeting is schedule for May 30, 2016 in California, USA. 

Main objectives of this event:

1. Bringing together and fostering productive interactions (...);
2. Presenting a comprehensive review of the current state of BCI research;
3. Addressing in focused workshops (...) for continued progress in BCI research;
4. Promoting the education and development of new researchers (...);
5. Maximizing the (...) meeting impact through publication by the BCI Journal (...);
6. Defining member benefits and Society-led projects for the newly formed BCI Society. 

6. 
   

This meeting will bring together scientists, engineers, and clinicians involved in BCI research and clinical use and will contribute greatly to BCI development.

For more informations press here.

Neuroanatomy - Human Brain

A new online application HNBS allows you to identify the various areas of the human brain just clicking the interest point.

The module interface is meant to mimic a radiology workstation with adjacent image scrolling via arrow keys and or mouse wheel button. Hover the cursor over a structure of interest; if active, its name will appear underneath the image. Clicking the mouse button in an active area will synchronize and cross reference all image planes.  To instantly navigate in all image planes move the mouse while holding down the mouse button.

Try it now pressing here.

BCI job (PhD position) at Université de Genève

The Swiss Center for Affective Sciences and Computer Vision and Multimedia Laboratory (CVML) are looking for a candidate with a solid background in signal processing for a fully-funded PhD position at the computer science department, University of Geneva. 

The research focuses on analyzing the interactions between facial expressions and EEG signals with the aim of reducing unwanted interferences and recognizing emotions. Research will involve recording and analyzing EEG signals and facial expressions using Bayesian estimation methods.

Required qualifications

• An MSc in a field related to one or more of the following: electrical engineering, computer science, applied mathematics;
• Strong knowledge of signal processing and statistics;
• Strong programming skills in Matlab or Python;
• Interest in performing experiments with humans including recording multimodal sensorial data from volunteer participants;
• Ability to communicate and report research results in English.

Salary 

• CHF52’000/year, +/- 4.000€/month, before tax and social charges

Starting date 

• Preferably by January 2016

For more informations press  here.

FlexCtrl - A new EEG / BCI capture device

A new EEG capture device with 32-channel headset was announced.  This project was found as a BCI crowdfunding campaign in Indiegogo.

Their web page is still under constrution and in my opinion this project does not respond to some fundamental questions: 

• What kind of dry sensors are used?
• How does it react with long hair?
• When the SDK will be available?

Let's wait for the answers...!

Play computer games without using your hands or feet

New BCI solutions are increasingly common in laboratories and research institutes. One such example is the project developed by Christoph Hintermüller and his team from g.tec Guger Technologies. He says: “We have developed so called brain-computer interfaces which allow the user to control different devices and programmes without hands, by means of the user’s thoughts.”

This is one more approach to play a computer game hands-free. Using SSVEP the user selects the commands by simply looking at the blinking arrows on the screen. The frequency of the flashing is reproduced in the brain cortex and read by the electrodes at occipital area.

Also Arnau Manzanal of the research and development department says: "As soon as we have understood the electroencephalography patterns produced by the groups of neurons in the brain, we can map the brain activity to any commands for any device, like a television or a motorised system for the home".

More information about this article can be found here.

Structural change of brain cells caused by depression

The Champalimaud Foundation has just acquired a ultra-high field scanner that can deliver results 10x above the conventional MRI. It can be used in several studies of diseases such as multiple sclerosis or depression.

“In depressed patients, cells change structure, change shape and size. With the method that we have been developing in this lab, it could become possible to study these processes and, hopefully, to see these changes as they occur. Potentially in the future it will be useful for clinicians to select treatments and better diagnosis depression.”

This type of equipment can provide new answers on how the human brain works. Watch the video report here.

The future of BCI - From the state of the art to Vision

The BNCI Horizon 2020 Consortium have just released the final version of the roadmap for the field of brain-computer interfaces (BCIs).

• Who should read this roadmap?
• Aim and Executive summary
• What is a BCI and Vision for 2025
• Use case scenarios
• Unlocking the locked-in and NeuroTutor
• BCI-controlled neuroprosthesis
• Hybrid BCI-driven FES for stroke rehabilitation
• Research tool for cognitive neuroscience
• Horizon 2020 and the place for BCIs
• BCI market, stakeholders and Ethics
• General recommendations
• Appendix
• Research, Industry and End Users
• Use cases, focus groups and BCI Society
• Consortium

Vision for 2025

"In 2025, a wide array of applications will use brain signals as an important source of information. We will see routine applications in professional context, personal health monitoring, and medical treatment. We envision a future where humans and information technology are seamlessly and intuitively connected by integrating various biosignals, particularly brain activity. People will be supported in choosing the best time for making difficult and important decisions. People working in safety-relevant fields will be capable of anticipating fatigue, and authorities may find good (evidence-based) reasons to incorporate such applications in regulations. (...)"

The following graph shows the potential that the BCI has for the next two decades:

It's also possible to download the summarized roadmapping activities. For more informations visit bnci-horizon-2020.eu

Tracking pilots’ brains using EEG / BCI

Announced on the science channel from Euronews, scientists from 3 different countries are working to better understand pilot’s brain functions and to prevent human errors.

“We are trying to better understand what can cause human error by using the same tools as neuroscientists, like electroencephalography (EEG), measuring the heart rate, the pupil diameter, eye tracking, which means tracking the pilot’s gaze at any given moment.”

This research have a great potential to be used during the pilot selection process and for monitoring the training techniques and cockpit designs. Watch the video pressing here.

3rd International Winter BCI Conference - 49 Publications

All the links to the 49 publications from the 3rd International BCI Conference, presented in this blog some weeks ago, are available here or at IEEE Xplore Digital Library.

• Tutorial on multimodal neuroimaging for brain-computer interfacing
• Bayesian common spatial patterns
• Brain-computer interface for stroke rehabilitation with clinical studies
• Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors
• Neuro-driving: Automatic perception technique for upcoming emergency situations
• Spatial projections of neural arrays: A short guide to classic and new signal analysis techniques
• Divergence estimation for machine learning and signal processing
• Progress toward a high-performance neural prosthetic
• Decoding cognitive brain states
• Eeg/sonication-based brain-brain interfacing
• Japanese SRPBS for BMI research: Decoded neurofeedback as a causal tool in systems neuroscience
• A Bayesian approach for spatio-spectral filter optimization in BCI
• A novel P300-based BCI system for words typing
• Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces
• A novel tactile stimulation system for BCI feedback
• A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS)
• BMFLC with neural network and DE for better event classification
• Classifying ECoG signals prior to voluntary movement onset
• Common spatial patterns based on generalized norms
• Decoding three-dimensional arm movements for brain-machine interface
• Design of a robotic wheelchair with a motor imagery based brain-computer interface
• Detection of multi-class emergency situations during simulated driving from ERP
• Dry electrode design and performance evaluation for EEG based BCI systems
• EEG asymmetry and anxiety
• Eeg-based emotion recogntion during emotionally evocative films
• Eeg-based person authentication using face stimuli
• Effects of rest frames on cybersickness and oscillatory brain activity
• Efficient edge detection method for anatomic feature extraction of neuro-sensory tissue image based on optical coherence tomography
• Emotion classification in movie clips based on 3D fuzzy GIST and EEG signal analysis
• Estimation on the development of cerebral edema from computed tomography preliminary studies for pediatric traumatic brain injury patients
• Ethical and social issues behind brain-computer interface
• Evaluation of feature extraction methods for motor imagery-based bcis in terms of robustness to slight changes of electrode locations
• “Eyes-closed” SSVEP-based BCI for binary communication of individuals with impaired oculomotor function
• Implementation of a mental spelling system based on steady-state visual evoked potential (SSVEP)
• Learning Markov random field image prior for pixelation removal of fiber microscopy using sparse coding based on Bayesian framework
• Modified pattern-reversal visual checkerboard stimuli with dual alternating frequencies for multi-class ssvep-based brain-computer interfaces
• Motor trajectory decoding based on fMRI-based BCI — A simulation study
• Multimodal imaging technique for rapid response brain-computer interface feedback
• Optimal channel selection based on statistical analysis in high dimensional NIRS data
• P300 speller using a new stimulus presentation paradigm
• Power consumption of wireless EEG device for BCI application: Portable EEG system for BCI
• The beginning of neurohaptics: Controlling cognitive interaction via brain haptic interface
• The effectiveness of epidural ECoG on brain computer interface in primate
• Three-dimensional upper limb movement decoding from EEG signals

Shining light on Depression - Champalimaud Centre for the Unknown

Depression is a complicated and heterogeneous mood disorder. It affects a big part of the adult population and results in a significant financial and social liability for countries worldwide. But what really is depression and what are its causes? How can it be treated and prevented?

On January 22nd a group of neuroscience students and researchers from Champalimaud Neuroscience Programme will explore this subject and try to find some answers about it.
If tickets (free) are sold out live streaming will be available during the event. Don't miss!

Muse: the brain sensing headband.

Interaxon from Canada recently announced the launch of a new EEG reading device: MUSE (version 2). As the old version, it measures the electric activity produced by the brain searching for behavior patterns and identifying states of mind. Basically uses alpha waves (8-12Hz) to find if the person is calm and focused or when is wandering.

Muse is the mental equivalent of a treadmill, which helps you exercise your brain with focused attention training. It improves your attention by training you to become aware of your distractions quicker and react faster to regain focus on what you’re doing.

Connected to a Smartphone it will process the signals in real-time alerting you if get distracted and helping you catch to regain focus increasing the productive in your activity.

According to the company, the main advantages that this product offers are:

It motivates you to change your brain

Studies show that the focused-attention and mindfulness exercises upon which Muse is based can cause the brain to change itself, making it more resistant to distractions. Muse makes this process more motivating, fun and efficient.

It improves how you respond to stress

In the short-term, this training has been shown to trigger the natural relaxation response – a state of deep rest that changes the physiological and emotional responses to stress. Your metabolism decreases and your heartbeat slows. The muscles relax, breathing becomes slower, and blood pressure decreases.

It gives you a lasting feeling of self-control

Stress is thought of as a perceived lack of control or unpredictability, associated with impaired cognitive performance, higher blood pressure, lowered immunity, and many more negative effects. 

It can improve your emotional state

We often think of distraction as something external, like the sound of a nearby conversation. However, Muse’s feedback algorithms are tailored to respond to both external and internal distractions.

Extended use can have amazing and lasting results

A study showed that 20 minutes of focused attention training for 3 days in a row has been shown to reduce pain, reduce anxiety, improve mood, and reduce heart rate. 

It is designed to help you form the habit

Research has shown using an app and starting with 3-5 minutes can dramatically help you with mental exercises like meditation. Muse starts you with 3 minute sessions and rewards you for your achievements, making sure it’s easy and motivating to train with Muse.

Waitting to receive posts from people who have tested this new MUSE.

The Future of Brain/Neural Computer Interaction: Horizon 2020

The European Commission's Framework Programme 7 as created a Coordination and Support Action (CSA) called BNCI Horizon 2020. This project aims to foster communication and collaboration among stakeholders in the field of BCIs.

Brain-computer interfaces (BCIs) have become a popular topic for research in recent years. A BCI is a communication device which allows people to control applications through direct measures of their brain activity. A BNCI (brain/neuronal computer interaction) system extends a BCI by including other physiological measures such as muscle or eye movement signals. 

The number of BCI research groups around the world, peer-reviewed journal articles, conference abstracts, and attendance at relevant conferences are indicators of the rapid growth of this field. With dozens of companies and research groups actively participating in the development of BCIs and related technologies, collaboration, a common terminology, and a clear roadmap have become important topics.

For more informations visit the Horizon 2020 Web page.

3rd International Winter Workshop on Brain-Computer Interfaces

From 12 until 14 January, 2015, at Seoul - Korea, will be held the conference 3rd International Winter Workshop on Brain-Computer Interfaces.

Different approaches to Brain-Computer Interfaces have been developed, each one with specific solutions that range from understanding and explaining cognitive functions over communicating with real and virtual environments by thought alone to real-time monitoring of cognitive states. 
The 3rd International Winter Conference on Brain-Computer Interface aims to encourage overview, in-depth talks and discussions on the latest research at all levels of BCI research. 
Its devotion includes:

• invasive recording, 
• semi-invasive ECoG, 
• non-invasive EEG, 
• non-invasive NIRS and fMRI measurement and 
• potential combinations of the different methods furthermore advances in data analysis. 

The Path to Happiness - Peace or Pleasure?

Next December 4th, Champalimaud Center of the Unknown will discuss what bring us happiness. Dr. Morten Kringelbach and Scott Rennie will talk about meditative practices and their impact on how the brain works.

Is it the pleasure of good wine or great sex? 
The lasting pleasure of helping people in need? 
Or perhaps it is simply the quiet moments free from stress when we are truly relaxed? 

A very interesting event to assist!  I will be there!  :-)

How to reduce your required sleep time to just 2 hours a day

Intelclinic presents a new project called NeuroOn. Using EEG/EOG/EMG and with a sleep mask it will be possible to switch from two different sleep states: monophasic and polyphasic. The result is a solution that offers less and better sleep.

What is polyphasic sleep?
It is a term referring to alternate sleep patterns that can reduce the required sleep time to just 2-6 hours daily. It involves breaking up your sleep into smaller parts throughout the day, which allows you to sleep less but feel as refreshed as if you slept for 8 hours or more.
Simply put, it's a series of fine-tuned power naps that allow you to sleep effectively, rest better and perform at optimum energy levels during the day.
Additionally, NeuroOn monitored polyphasic sleep allows you to sync your body clock to very demanding schedules at whatever time is convenient or required.
In conclusion, through great sleep efficiency, Polyphasic sleep can give you an extra 4 hours of free time every day. That’s up to 28 hours (1 day+) a week, 1460 hours a year.

This project will be completed in July 2014. For more information press here.

iPhone Mobile App that Reads your Brain Activity

MELON company from USA created a headband, very simple to use, that reads your brain activity. This device uses the electroencephalography to measure your focus level and process it to show the results in your iPhone.

Gain insight into how your mind works by tracking your focus during any activity you choose. Understand yourself. Learn differently. Imagine if you could see and understand the invisible activity of your brain. Could you transform how you work? Improve the way you meditate? Find a new way to be creative? Melon is a headband and mobile app duo that tracks and helps you improve your focus in relation to your activity, your environment, your emotions, and any other behavior you want to track.

For the developer community there are a Software Development Kit for iOS and Android apps, where it is possible to access to raw data, list of algorithms for different mental states and connect to and control other Bluetooth devices

This project is undoubtedly one step further to the future of BCI.

BCI Technologies: BrainTech Israel 2013

Israel will host their 1st International Brain Technology Conference at October, 14-15, 2013.

This conference will be a unique and innovative event, showcasing the latest developments in the field in Israel and around the world,  and featuring top-tier speakers from the world of neurotechnology along with engaging panels and networking opportunities. The event will bring together companies, entrepreneurs, academics, investors and life science and technology multinationals to explore opportunities in brain technology and enhance collaboration.

For more information about this conference press here.

Israel invests heavily on the study of the brain and has recently created a research center at the Hebrew University of Jerusalem.
The 14,500 square-meter building include state-of-the-art labs, classrooms, an innovative imaging center and areas for biological and pre-clinical research. Significant emphasis were placed on constructing an environmentally friendly building with a focus on conserving energy and reducing carbon dioxide emissions.

Another concrete example of great investment in the study of the brain that is being done all over the world.

BCI State of the art: International BCI Meeting 2013

The Fifth International Brain-Computer Interface Meeting occurred at Asilomar Conference Center in Pacific Grove, California from June 3rd - 7th, 2013. It was an International BCI Meeting organized by a committee of BCI researchers from around the world. 

Here is the list of all the individual abstracts providing the most recent BCI state of the art:

• The effect of real-time positive and negative feedback on motor imagery performance
• Perceptual learning via decoded-EEG neurofeedback
• Investigation of the utility of mind-body awareness training in the early learning of a 1D sensorimotor 
• Training effects of multiple auditory BCI sessions
• Motivation and SMR-BCI: The Fear to Fail affects BCI Performance
• EEG Evaluation During Stress Emotional State Elicited by Unpleasant Sounds Applied in BCI
• The Effects of Motivation on Task Performance using the BCI
• Towards neurofeedback for improving visual attention
• Feel the BCI vibe - vibrotactile BCI feedback
• A tactile P300-based BCI
• On the Need for Both Internal and External Context Awareness for Reliable BCIs
• Classification of Auditory Steady-State Responses Incorporating Alpha Waves
• Self-paced BCI with NIRS based on speech activity
• Using Multiple Reward Related Signals in the Adaptation of Neuoprosthetic Decoders
• Temporal and Spatial Distribution of Workload-Induced Power Modulations of EEG Rhythms
• On Oscillatory EEG during Palm and Finger Movements
• Error Potentials for Brain-Computer Interfaces
• Unsupervised BCI calibration as possibility for communication in CLIS patients?
• Probabilistic Co-Adaptive Brain-Computer Interfacing
• Brain-Computer Interface Controlled Robotic Gait Orthosis
• Humanoid Robot Control with SSVEP on Embedded System
• Single Trial Classification of Imagined Hand Postures
• SSVEP based Brain-Computer Interface combined with video for robotic control
• High performance prediction of 3D-trajectory of hand from ECoG 
• 3D Trajectory Reconstruction of Upper Limb Based on EEG
• Muscular Activity Estimation from EEGs Using Component Analysis for B. Machine Interface
• On classifiying artifactual independent components: Generalization ability to different electrode setups
• Increasing the Spectral Signal-To-Noise Ratio of Common Spatial Patterns
• Bayesian Priors for Classifier Design in RSVP Keyboard
• A Stimulus-Free Brain-Computer Interface using Mental Tasks and Echo State Networks
• An Auditory Brain-computer Interface Based on Three-stimulus Oddball Paradigm 
• Implementation of a new independent SSVEP-based BCI
• Listen to the frog! An auditory P300 brain-computer interface with directional cues and natural sounds
• Auditory Brain Computer Interface Using Natural Sound
• A novel approach to auditory EEG based spelling
• Optimized ERP-based BCI using the stimulus of multi-familiar faces
• Fixing a Standard Matrix Size for BCI-360 Applications
• BCI using space-time-frequency coding protocol
• BCI-based operation of off-the-shelf software applications: Towards a General-Purpose Application 
• Investigation of Optimal Mental Task Combinations for EEG-based Brain-Computer Interface (BCI)
• A portable immersive virtual reality platform for motor-imagery guided rehabilitation 
• Comparison of Adaptive Symbol Presentation Methods for RSVP Keyboard
• A Motor Imagery Based Asynchronous BCI Speller
• Characterizing the SSVEP Spectrum using a Broadband Noise Stimulus
• Towards implicit control through steady-state somatosensory evoked potentials
• Cloud-Based Analysis of EEG Signals for BCI Applications
• Bringing Big Data to Neural Interfaces
• Predicting changes in neural tuning during BCI learning
• Proposing a Novel Feedback Provision Paradigm for Restorative Brain-Computer Interfaces
• Dynamic Stopping in a Calibration-less P300 Speller
• Simultaneous BCI operation and electrophysiological assessment to identify brain signal features
• EEG-predictors of covert vigilant attention
• The Effect of Task Based Motivation on BCI Performance: A Preliminary Outlook
• Multi-command Tactile and Auditory Brain Computer Interface based on Head Position Stimulation
• Using generic models to improve tactile ERP-BCI performance of low aptitude users
• Improving Dynamic Data Collection in P300 spellers with a Language Model
• The Use of Phonetic Similarity Cues in Auditory Spellers
• Predicting the performance of a MI-based BCI based on pre-cue EEG data
• Brain mapping as a tool for improving a physiologically based features selection for BCI applications
• Classification of Various Mental Task Combinations for NIRS-based Brain-Computer Interface
• ERPs in the P300 BCI: Sensitivity to Matrix Size and Task
• Electrocorticographic gamma band power correlates with the velocity of upper extremity movements
• Cortically-derived error-signals during BCI use
• Strategy for Reducing Calibration Time with Invariant Common Spatio-Spectral Patterns
• Self-Calibration in an asynchronous P300-based BCI
• Robotic Arm Control Using a Non-Invasive EEG-based BCI
• Eye to eye contact: controlling robot using P300 BCI
• Intelligent adaptive user interfaces for BCI based robotic control
• Task Identification Using Fluctuation Analysis
• Decoding grip types from premotor, parietal, and motor cortex
• Classifying speed and force from movement intentions using entropy and a support vector machine
• Individual selection of mental tasks and frequency bands boosts performance
• EEG Independent Component Polarity Normalization by Convex Relaxation 
• Performance Enhancement by Sparse Representation of EEG Signals for Motor Imagery 
• Performance prediction in motor imagery BCI
• Basis Selection for Increased Interclass Separability of EEG Signals
• Denoising and Time-window selection using Wavelet-based Semblance for improving ERP detection
• Efficient Adaptive Stimulus Sequencing for Improved P300 Speller Performance
• EEG Channel Optimization based on Differential Evolutionary Algorithm for BCI Application
• Frequency recognition of AM-SSVEP using modified CCA and PSDA
• Phase Information Enhanced SSVEP-BCI Using a Canonical Correlation Analysis Neural Network
• Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms
• Motor Imagery BCI Feedback Presented as a 3D VBAP Auditory Asteroids Game
• A new stimulation method of virtual speller for simultanous P300 and SSVEP responses
• Error Analysis of the Region-based P300 Brain-Computer Interface Speller
• A hybrid control of a P300-based BCI: a solution to improve system usability?
• Design of Optimal Keyboard Layouts for a Mental Speller
• Effects of Varying Presentation Rate and Sequence Length on User Performance 
• BCILAB: A Toolbox for Rapid Development of Advanced BCI Designs
• SSVEP-based BCI Stimulation Frequency Selection Training and Detection approaches
• Towards a Free and Open Source BCI System Written in Python
• An Online SSVEP-based Brain-computer Interface for Freely Moving Humans
• Objective Indication of Fatigue in SSVEP-based BCI through EEG Spectral Analysis
• Auditory BCIs for Visually Impaired Users
• BCI Research at Inria Bordeaux: making BCI designs usable outside the lab
• Towards a Low Cost mu-rhythm Based BCI
• A Comparison of EEG Systems for use in P300 Spellers by Users with Motor Impairments
• Visual and Stereo Audio Sensorimotor Rhythm Feedback in the Minimally Conscious State 
• Selective enhancement of motor imagery features using transcranial direct current stimulation
• Different Uses of Non-invasive BCI for Controlling Neuroprostheses: Case Studies with End-Users
• Rapid prototyping for BNCI users with Cerebral palsy
• The N100 of Averaged ERPs Predicts LDA Classifier Success on an Individual Basis
• EEG Correlates of Performance during Long-term use of a P300 BCI 
• Decoding Individual Finger Movements using Noninvasive EEG
• Controlling an Avatar by Thought using Real-Time fMRI
• Development of an Intracortical Eye Movement-Based Brain-Computer Interface
• Pairwise Classification of Phoneme Imagery Using CSP
• Mouth Motor movement based BCI
• Using a Brain-Computer Interface to Assess Awareness after Brain Injury
• Classifying volition for comatose patients: a BCI perspective
• Cooperating Brains: Dual-BCI as a New Paradigm to Investigate Brain-to-Brain Coordination
• Cooperating Brains: Joint Control of a Dual-BCI
• An ambulatory BCI-driven orthosis for stroke rehabilitation
• A Scene-combined navigation method based on Newton's Rings Paradigm 
• Tactually-evoked event-related potentials for BCI-based wheelchair control
• Detection of Motor Imagery of Swallow With Model Adaptation: Swallow Or Tongue?
• Towards Biometric Person Identification using fNIRS
• Detecting cognitive states for enhancing driving experience
• Neuroresponsive Media: SSVEP-based Interactive Experiences
• Iterative EEG-based Natural Image Search under RSVP
• EEG-based Emotion Detection in Music Listening
• P300-based Brain Computer Interface for Internet Browsing, Blogging and Storytelling
• Real-Time Functional Brain Mapping
• Evaluating hold-release functionality in a P300 BCI
• Prediction of Multiple Upcoming Emergencies during Simulated Driving based on ERP
• Design of Dry Electrodes for EEG based BCI systems
• Dry and Wireless EEG-based Brain-Computer Interfaces for Real-World Applications
• Comparison of Invasive Chronic Electrodes for Brain-Computer Interface Applications
• Brain Computer Interface Using Chromatic Transient Visual Stimulus Array
• Modeling the Electroencephalogram using Intracranial Signals
• Real-Time Estimation and 3D Visualization of Source Dynamics and Connectivity 
• Long-Term Independent BCI Home-Use by a Locked-In End-User: An evaluation study 
• Evaluation of Four different BCI prototypes by severely motor-restricted End-Users
• Correctly Applying Performance Metrics to Neuroprosthetic Control Interfaces
• Preliminary design and performance standards for BCI desired by potential users 
• An Improved Auditory Streaming BCI with Voice Stimuli
• Limitations of NIRS-based BCI for Realistic Applications in Human-Computer Interaction
• Transfer Learning for Accelerated P300 Speller Training
• Transferring BCI skills to successful application controls
• Effects of workload on P300 BCI signals and accuracy
• Assessment of the P300 evoked potentials latency stability during c(o)vert attention BCI
• Stability of Local Field Potentials Over 11 Months of Brain-Machine Interface Use
• Are BCIs Coming of Age as AAC Systems?
• Assessing information processing in patients with long-term and severe disorders of consciousness
• Clinical Screening Protocol for RSVP Keyboard™ BCI Use
• Comparison of the Checkerboard P300 Speller vs. the Row-Column Speller  
• "Selection Strategies" for the RSVP Keyboard™ BCI: Different Strokes for Different Folks
• Enhancing Brain-Computer Interface Performance in an ALS population: Checkerboard paradigms
• Towards a novel control paradigm based on decoding imagined movements from EEG
• Decoding complex hand movements using high density ECoG and high field fMRI
• Using ECoG Gamma Activity to Model the Mel-Frequency Cepstral Coefficients of Speech
• Decoding Articulatory Properties of Overt Speech from Electrocorticography
• Detecting brain responsivity in disorders of consciousness: a BCI-based methodology
• A platform for the detection of brain activity changes in patients diagnosed with Disorders
• A General Framework for Implementing A Multi-Subject Brain-Computer Interface
• Brain-Computer Interface Supported Collaborative Work

• Motor Recovery After Stroke by Means of BCI-Guided Functional Electrical Stimulation
• Brain Interface to Control a Tele-Operated Robot
• On-board Neural Processor on Vehicular BMI for Rat toward Long-term Operation
• Categorizing outdoor places using EEG signals 
• BCI games with motion capture and its possibilities in rehabilitation
• A Neurofeedback Approach to Supporting Characters in Virtual Stories
• Review: Movement related cortical potential based brain computer interface for rehabilitation
• Using BCI to play games with brain signals: an organic interaction process through NeuroBodyGame 
• Distinguishing between target and non-target fixations in a visual search task 
• Braib-activity-driven real.time music emotive control
• The Musical BCI: Control by Selective Listening
• Microneedle array integrated on a flexible substrate to fabricate dry electrode
• One-dimensional imaginary movement cursor control using disc and tripolar electrodes
• Simulation comparisons of the spatial resolution beteen disc and tripolar concentric ring electrodes

• Non-Invasive versus Invasive Brain-Computer Interfaces
• Impedance, histology, stability and longevity of the Neurotrophic Electrode in rats, and humans
• Design of a multichannel cortical stimulator prototype for future neuroprosthetic research
• Identification of Cortical Target Regions for Intracranial BCI Based on Covert Spatial Attention 
• Which Neural Signals are Optimal for Brain-Computer Interface Control?
• Transcranial Doppler Ultrasonography-Driven Online Augmentative and Alternative Communication 
• Tensor decomposition on EEG of music imagination
• Towards a broad-scale Usability Evaluation of Hybrid BCIs
• The Brindisys project: Brain Computer Interfaces as assistive technology for people with ALS
• Autonomy and Social Inclusion for the Severely Disabled: The BrainAble Prototype
• Measuring (limitations on) control precision in BCI