- BCI prosthetic hand to control phantom limb pain
- Implantable Communication BCI for Home-Use in Locked-In Syndrome
- A brain-spine interface to alleviate gait deficits after spinal cord injury
- BCI for Communication with Patients in Completely Locked-in State
- Individual word classification during imagined speech
- Restoration of finger movements in everyday life environments using a hybrid brain/neural hand exoskeleton
- Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance
- Targeted up-conditioning of contralesional corticospinal pathways promotes motor recovery in poststroke patients with severe chronic hemiplegia
- Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality
- High Performance BCI in Controlling an Avatar Using the Missing Hand Representation in Long Term Amputees
- Online adaptive BCI with attention variations
- Which BCI paradigm is better to induce agency or sense of control over movements?
Tuesday, September 26, 2017
List of the twelve nominees during the Annual BCI Award 2017 conference.
For more information about BCI/EEG press here.
Tuesday, September 12, 2017
SigViewer is a viewing application for biosignals such as EEG or MEG time series. In addition to viewing raw data, SigViewer can also create, edit, and display event information (such as annotations or artifact selections). Available formats: GDF, EDF, BDF, DAT, CNT, VHDR, BKR and EVT.
Sunday, September 10, 2017
Neuralink, the BCI company from Elon Musk based in San Francisco, are looking for engineers and scientists.
Neuralink is developing ultra high bandwidth brain-machine interfaces to connect humans and computers. No neuroscience experience is required: talent and drive matter far more. We expect most of our team to come from other areas and industries. We are primarily looking for evidence of exceptional ability and a track record of building things that work.
Friday, September 08, 2017
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.
- 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
- 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
- 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
- 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
- INVESTIGATING NEUROADAPTIVE TECHNOLOGY FOR SPEED READING APPLICATIONS
- TOWARD NEUROADAPTIVE PERSONAL LEARNING ENVIRONMENTS
- GAZE DIRECTION AND THE EEG MARKER FOR INTENTION/EXPECTATION IN HYBRID INTERFACES
- 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
- 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
- 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
- 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
- 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 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
- 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
- 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
Tuesday, September 05, 2017
New algorithms applied to classification and processing of EEG data will allow to identify more clear behavior patterns related to an action thought by the user. This is one of the objectives of my BCI PhD work that I will share with you soon. The approach will be done in a first phase through the EMOTIV equipment and Python language also using statistical signal processing techniques. If you have interest in this matter stay tuned!
Promoted by BCI Society, the BCI journal aims to be a information repository, with "Journal News", "Call of Papers" and much more, making available its reading to the scientific community and to all those who are interested in this area.
BCI journal publishes high quality, original research articles encompassing analysis of theoretical and practical advances in brain-computer interface (BCI) technology. Articles should expand upon novel and innovative research where the methods, analysis and conclusions are robust and of the highest standard.
Monday, September 04, 2017
2nd World Congress & Expo on Nanotechnology and Materials Science during June 25-27, 2018 Dubai, UAE
This World Congress aims to gather researchers, renowned speakers, Nanotechnologists, Nanotech-engineers, Pharmaceutical professionals and leading specialists in order to discuss current developments and future trends in Nanotechnology and Materials Science. The scientific program paves a way to gather visionaries through the research talks and presentations and put forward many thought provoking strategies.
Benefits of Attending
- All accepted abstracts will be published in the respective Journals
- Each abstract will receive a DOI provided by Cross Ref
- Special privileges on group registrations
- Chance of B2B meeting
- Opportunity to organize Workshop/Symposium
Friday, September 01, 2017
Neuralink will build a brain computer interface (BCI) or "neural lace" that will eventually "upload thoughts" to the internet but, along the way, deftly heal those with epilepsy, Parkinson's and depression, and restore function to people with stroke and brain injury for good measure. What could Musk's lace possibly look like?
The basic brief for any BCI is to record the electrical activity of brain cells and sometimes squirt back a little voltage to stimulate those same cells. EEG records brain waves from outside the skull, but high fidelity means getting up close, generally by draping an array of 100-200 electrodes over the dura, the brain's hard outer layer, or plunging electrodes directly into the squishy stuff. These deeper brain dives have, already, produced some astounding results.
Deep brain stimulation has helped people with uncontrollable tremor from Parkinson's hold a cup of coffee. In epilepsy, the NeuroPacedevice senses an impending fit and heads it off with a judicious surge of current. A DARPA program culminated in a paralysed woman using her thoughts to control a robotic arm and gently shake hands with an incredulous interviewer. And a February article reports that a woman paralysed with Lou Gehrig's disease used the BrainGate device to type at a record eight words per minute. With her thoughts.
There is, however, a big problem with sticking things in the brain.
"You have an electrode that's hard and artificial, it's made of metal and it's spiky. And on the other side is the brain that's soft, chemical, electrical and pliable. Those two things don't work together all that great," says Schalk, with neuroscientist deadpan.
Brains get traumatised, scar tissue forms around electrodes, the signal degrades, the body rejects the device, and so on.