Tuesday, September 12, 2017

SigViewer 0.6.1 - View EEG raw data

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.


For more information about BCI/EEG press here.


Sunday, September 10, 2017

Neuralink is Looking for BCI Engineers and Scientists

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.


For more information about BCI/EEG press here.


Friday, September 08, 2017

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.


Tuesday, September 05, 2017

EEG Python Algorithms

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!


For more information about BCI/EEG press here.


BCI Journal

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.

For more information about BCI/EEG press here.


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

For more information about BCI/EEG press here.


Friday, September 01, 2017

The ambitions of Elon Musk and the future of BCI/BMI according to Gerwin Schalk

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.





"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.


For more information about BCI/EEG press here.


Thursday, August 31, 2017

Mindreach - A Portuguese BCI Startup Company

MindReach is a company created by the neuroscientist Rui Costa dedicated to BCI/EEG research. As already mentioned in previous posts, Mindreach is one more company that contributes to the development of an interface that over time will radically change the way we deal with electronic devices.


Mindreach offers an end-to-end product that uses an electroencephalography (EEG) headset coupled with a dedicated training software platform allowing users to learn to directly control activity in pre-frontal cortex, and as a first approach correct abnormal brain patterns, as is the case of Attention deficit hyperactivity disoder (ADHD) and other conditions. Our solution can be expanded and integrated with a wide range of on-the-market effector devices, such as other controllers, neuro-rehabilitation equipment and neuro-prosthetics.

For more information about BCI/EEG press here.


Sunday, August 13, 2017

A BCI-based Environmental Control System for Patients with Severe Spinal Cord Injuries

Rui Zhang, Qihong Wang and Kai Li present a BCI-based environmental control system that integrates household electrical appliances, a nursing bed, and an intelligent wheelchair with automated navigation function. Synchronous and asynchronous control modes are employed in different situations to provide more natural and practical control. Specifically, the asynchronous mode, which can infer from the ongoing EEG whether the user intends to execute his/her control through the BCI, is for switching the environmental control system on or off or for selecting a device (e.g., a TV) to control. 


Furthermore, a verification mechanism and several pseudo-keys are introduced into our paradigm to effectively reduce false operations in the asynchronous mode. Once a device is switched on, the synchronous mode, generally with a higher BCI detection performance of accuracy and speed than the asynchronous mode, is used for function selection, such as channel selection for a TV. Two experiments involving six paralyzed patients with severe spinal cord injuries (SCIs) were separately carried out in a nursing bed and a wheelchair. Experimental results indicated that all the SCI patients could operate the household electrical appliances, the nursing bed and the intelligent wheelchair by using the BCI with satisfactory. The proposed environmental control system can thus be used to assist severely paralyzed people with SCIs in their daily life and improve their self-care abilities.

For more informaton about BCI/EGG press here.


Friday, August 11, 2017

NeuroFuse - a Brain Miracle Pills?

Neurofuse seems to have a brain miracle effect just in a few minutes. Some testimonials report the  "amazing" intense focus, mental clarity and cognitive precision results. True or false? We will wait for the answers.


Enhance Mind IQ, which has no recorded side effects in any clinical trials, was soon the target of critics who claimed it was too powerful to be sold without a prescription. Other people in academic circles insisted that Enhance Mind IQ provided an artificial edge for its users and was unfair to those who weren’t taking it. This led to it being banned from quiz shows and at many top universities as well. 

For more information about BCI/EEG press here.


Thursday, August 10, 2017

Graz BCI Conference 2017

Three workshops will occur during Graz BCI Conference 2017:
  • Cloud-based BCIs: challenges and opportunities of home-use systems for big data collection;
  • Facilitators and barriers of using mobile EEG: a workshop using the extreme test case of BCIs for space flights;
  • Passive BCI, Lab Streaming Layer, and Neuroadaptive Technology.

Cloud-based BCIs: challenges and opportunities of home-use systems for big data collection
Bringing brain-computer interfaces from the lab environment into the homes of patients and consumers requires three components: 
  1. Cloud-based realtime signal processing and machine learning that generalises across large datasets, 
  2. Low-cost, wireless EEG hardware with sufficient signal quality for scientific and clinical purposes, 
  3. User-friendly, cross-platform software applications to make the system directly accessible to endusers. 
Tackling this challenge may be the key to enabling robust communication and control for patients, and breaking the limitations of current research in terms of sample size and longitudinal data. With this workshop we aim to bring experts from both inside and outside the BCI community together to inspire future work that will allow us to overcome existing boundaries, both in research and in clinical practice.

Facilitators and barriers of using mobile EEG: a workshop using the extreme test case of BCIs for space flights
Since the advent of mobile EEG with which the subject is no longer constrained by a lab environment, but can be tested in a realistic environment, an increasing number of application areas are opening up for investigation. For example, mobile EEG offers new research opportunities in Sports and Movement Science, Entertainment, Neuromarketing and more fundamental Cognitive Neuroscience. However, mobile EEG also confronts us with new technical and experimental challenges. During our workshop we aim to start a constructive multidisciplinary technology assessment to identify the main barriers and facilitators of mobile EEG. To facilitate the discussion, we focus on the extreme use scenario of Brain-Computer Interface research for space flights. Thus, speakers will first present their scientific findings, experience and challenges with mobile EEG. Then, we narrow the discussion to the extreme use scenario of BCI for space flights, which prepares workshop participants for a final group discussion.

Passive BCI, Lab Streaming Layer, and Neuroadaptive Technology
This workshop is aimed at participants interested in applications of BCI technology in Human‐Computer Interaction for users without disabilities. It is intended to represent the Society for Neuroadaptive Technology (SNAT) and to support the communication between this society and BCI researchers. Dr. Thorsten O. Zander will present and discuss the aims of passive BCI research, Neuroadaptive Technology and modern Human‐Computer Interaction. This part represents a forum to identify synergies and develop new ideas. Dr. David Medine and Ratko Petrovic, will present technological developments for passive and hybrid BCIs. Dr. Medine will present the Lab Streaming Layer (LSL), an open‐source software project for synchronized, multi‐modal data streaming and recording. Mr. Petrovic will present recent hardware developments compatible with LSL. The third part is a hands‐on demonstration with Neuroadaptive Technologies. In several groups,participants use an application combining passive BCI, gaze control and dry electrodes.

For more information about BCI/EEG press here.


Wednesday, August 09, 2017

Studying the Human Cerebral Cortex with Cortical Explorer

Cortical Viewer is a web-based, interactive, 3D viewer for exploring the brain cortex developed at Imperial College.

The viewer allows users to interactively explore the HCP’s Multi-modal Parcellation. Clicking on different regions brings up access to a wealth of meta-data summarising directly the extensive neuroanatomical supplementary results. ‘Sections’ refers to which broad neuroanatomical sections of the brain the region belongs to, where these sections reference how the brain was subdivided up during manual annotation.


The explorer offers several different schemes for viewing the data, for example the regions connected (or in a common section) to the primary motor cortex can be viewed either by exploding (moving) the areas, or recolouring (to fade out unrelated regions).

For more information about BCI/EEG press here.


Monday, July 31, 2017

NeuroMore - No more free licenses

The Neuromore BCI tool seems to stop it's free license. Now the subscription options are $50/month or $420/year. Like Matlab or LabVIEW it will be a good ideia to have a low cost or free (restricted) editions for developers, academics, etc. Let´s wait and see what happens.


For more information about BCI/EEG press here.


Sunday, July 30, 2017

The Virtual Brain - Download Free

The Virtual Brain software (TVB) is a computational framework for the virtualization of brain structure and function. This is accomplished by simulating network dynamics using biologically realistic large-scale connectivity.

TVB merges structural information on individual brains including 3D geometry of neocortex, white matter connectivity, etc. and then simulates the emergent brain dynamics. The logic of TVB is the following:
  • Structural information provides certain constraints on the type of network dynamics that may emerge.
  • While these constraints limit arbitrary brain dynamics, structural connectivity provides the foundation on top of which a dynamic repertoire of functional configurations can emerge.
  • When brain structure is changed, as maturation, aging, or from damage or disease, then the brain’s dynamic repertoire changes.


TVB allows the systematic investigation of the dynamic repertoire as a function of structure. It moves away from the investigation of isolated regional responses and considers the function of each region in terms of the interplay among brain regions.

This allows us to
  • Re-classify lesions in terms of the network of nodes (regions) and connections (axons, white matter tracts) that have been damaged and to
  • Investigate the mechanisms that preserve function by understanding how regional damage affects the function of other parts of the network.

For more information about BCI/EEG press here.


Thursday, July 27, 2017

Grasping Objects with your Brain using a EEG RSVP- driven grasp pipeline

Brain-Computer Interfaces are promising technologies that can improve Human-Robot Interaction, especially for disabled and impaired individuals. Noninvasive BCI’s, which are very desirable from a medical and therapeutic perspective, are only able to deliver noisy, low-bandwidth signals, making their use in complex tasks difficult. To this end, we present a shared control online grasp planning framework using an advanced EEG-based interface. 



These results are encouraging, and demonstrate that a relatively fast and effective pipeline based off of only EEG data is workable. The experiment revealed some issues, specifically in terms of how images are generated when representing abstract concepts.

For more information about BCI/EEG press here.


Wednesday, July 26, 2017

Increasing the capacity of advanced neural interfaces to engage more than one million neurons in parallel

The Defense Advanced Research Projects Agency (DARPA) through its Neural Engineering System Design (NESD) program is working on Brain-Computer Interfaces and  seeks to translate neurochemical signals into binary code (MedCityNews).


The NESD program looks ahead to a future in which advanced neural devices offer improved fidelity, resolution, and precision sensory interface for therapeutic applications. By increasing the capacity of advanced neural interfaces to engage more than one million neurons in parallel, NESD aims to enable rich two-way communication with the brain at a scale that will help deepen our understanding of that organ’s underlying biology, complexity, and function.

For more information about BCI/EEG press here.


Friday, July 07, 2017

CEBL3: A New Software Platform for EEG Analysis and Rapid Prototyping of BCI Technologies

We are still waiting for the version 3 of the Colorado Electroencephalography and Brain-Computer Interfaces Laboratory. The CEBL3 it will be a new software platform, presented at 6th International BCI2016 meeting, written in Python, that is designed to support all phases of BCI research and development


A major design goal of CEBL3 is to allow researchers to rapidly progress novel ideas from the early experimental and analysis stages to fully functional BCI prototypes. Current BCI software packages are typically designed with one of two primary goals: offline analysis or performing interactive experiments. 



For instance, EEGLAB and BCILAB are written primarily in MATLAB and easily permit exploratory analysis using standard or custom methods. However, they are not equipped with an extensive framework for developing new user interfaces or performing real-time experiments. On the other hand, software packages like BCI2000 and OpenVibe are well-suited for performing interactive experiments. However, they are written in C++ and require significant time and effort to implement new methods. The goal of CEBL3 is to bridge this gap by providing a single BCI software platform that supports all stages of BCI development in a flexible, feature-rich and high-performance environment

For more information about BCI/EEG press here.


Brain Morphometry Tool

Mindboggle is an open-source for brain morphometry analyzing tissue segmentation, cortical and subcortical parcellation, volumetry and cortical thickness. 


Mindboggle can be run on a previously uploaded input T1 dataset. This pipeline will automatically start in parallel the necessary. 

For more information about BCI/EEG press here.


Tuesday, July 04, 2017

Microsoft is looking for a "Corporate Strategy and Development Manager" with experience in BCI

BCI-based systems, with all the technological potential it presents, starts to have a demand in the labor market as this case of this job offer for Microsoft.

Required Qualifications
  • 1+ years of consulting firm experience in strategy and/or technology
  • Passion for technology, and ability to understand and stay current on industry trends, internal product development efforts, and competitive landscape (top competitors, startups, emerging segments, etc.).
  • (...)

Preferred Qualifications
  • Technical expertise in one or more of the following: Software development, Cloud computing, Artificial Intelligence, Next-generation interfaces (e.g. conversational platforms, mixed reality), Breakthrough technologies (e.g. quantum computing, brain-computer interface), or other emerging technology areas
  • (...)

For more information about BCI/EEG press here.


Thursday, June 29, 2017

BCI Applications in Medicine - Frontiers Research Topic

BCIs may increase the diagnostic accuracy of brain disorders (...) could be used to detect neural signatures of cognitive processes in persons diagnosed with disorders of consciousness (DOC), provide real-time functional brain mapping for neurosurgery, improve visual function assessment in glaucoma, etc.


Overall, different BCI approaches have the potential to enter into mainstream clinical practice, improving the assessment, rehabilitation, and management of several neurological diseases. 
This Research Topic aims to collect original research manuscripts and reviews describing breakthrough applications of invasive and non-invasive BCIs in all aspects of medicine.

Submit your abstract until 01 September 2017.

For more information about BCI/EEG press here.


Wednesday, June 28, 2017

Wired Minds: The Neural Underpinning of the Entrepreneurial Brain

Neural underpinnings of entrepreneurship are not well understood yet. Recent publications suggest that the behavior of psychopaths and entrepreneurs is not very different. This study aims to take an overall view of personality traits typically associated to an entrepreneur (determined by a psychometric assessment) and compare them to connectivity indices and cortical brain measurements. This is a proof-of-concept work towards bridging the gap between psycometry and brain underpinnings.


For more information about BCI/EEG press here.


Thursday, June 15, 2017

FB dream: type 100 words/minute on a phone with just your mind

At April 19, after the FB presentation about it's secret team "Building 8" working in BCI, the media started publishing a lot of articles about the new FB/BCI revolution.

Facebook revealed it has a team of 60 engineers working on building a brain-computer interface that will let you type with just your mind without invasive implants. The team plans to use optical imaging to scan your brain a hundred times per second to detect you speaking silently in your head, and translate it into text. Regina Dugan, the head of Facebook’s R&D division Building 8, explained to conference attendees that the goal is to eventually allow people to type at 100 words per minute, 5X faster than typing on a phone, with just your mind.


This presentation was a mix of research and a pure marketing campaign. Of course the technology will grow up in the next years but there are a lot of "technical" barriers that will need time to type a message in your smartphone just using your thoughts. I belive this will be possible and it will be a total user-interface revolution. But, as the cancer cure aim, it needs years of work, doubt and research

For more information about BCI/EGG press here.


Sunday, June 04, 2017

EEG-NIRS based Hybrid BCI and Monitoring

For the further development of the fields of telemedicine, neurotechnology and Brain-Computer Interfaces (BCI), advances in hybrid multimodal signal acquisition and processing technology are invaluable. Currently, there are no commonly available hybrid devices combining bio-electrical and bio-optical neurophysiological measurements – here Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS). 


The resulting Mobile, Modular, Multimodal Biosignal Acquisitionarchitecture (M3BA) is based on a high-performance analog front-end optimized for bio-potential acquisition, a microcontroller, and our previously published open source openNIRS technology. The designed M3BA modules are very small configurable high precision and low-noise modules with full input linearity, Bluetooth, 3D accelerometer and low power consumption.

For more information about BCI/EEG press here.


Saturday, June 03, 2017

BR41N.IO - The BCI Designers Hackathon

The BR41N.IO hackathon challenges young geeks to design and buid a unique, playful and wearable headpiece which is able to measure useful EEG signals in real-time to create any sort of interaction. With the intended purpose in mind, the teams plan and produce their own fully functional headpiece. 3D printers are on-site, so the teams will be able to give their headpieces an individual design that fits on participants’ head.


The goal of this hackathon is to bring people of different professions together, such as engineers, programmers, physicians, or graphic designers. As an interdisciplinary team, they learn from each other and merge well established hardware and software in order to create a new, innovative and exceptional idea. The participation only requires basic knowledge in Brain-Computer Interfaces, machine learning, programming, signal processing or designing.

For more information about BCI/EEG press here.


Saturday, May 20, 2017

Typing-by-Brain Facebook Project

First it was Elon Musk, now Facebook. Suddenly, all the big Silicon Valley players want to get into brain tech (IEEE Spectrum). Mark Zuckerberg added his perspective on the news in a post soon after the announcement, presenting the brain-typing project as a natural evolution of Facebook’s mission to help people share their interior worlds. If they like sharing comments, photos, and videos, why not directly share their thoughts too?


In my opinion, we must invest in this BCI solution for several years to achieve a fluid and natural writing resorting solely to the identification of brain electrical impulses through non-invasive equipment. 

For more information about BCI/EGG press here.


Thursday, May 18, 2017

EEG Ranking Companies

The list below ranks each hardware company according to the number of publications they are associated with (Google Scholar). While not exhaustive, and certainly subject to change, the following represents at least a bird’s-eye view of the top EEG hardware companies currently out there. Each company offers different hardware, and choosing the best will often depend on your research goals.

Top 14 (Company/Publications)
  1. NeuroScan (12300)
  2. Brain Products (6690)
  3. BioSemi (5750)
  4. EGI (5000)
  5. Emotiv (3990)
  6. NeuroSky (2290)
  7. Advanced Brain Monitoring (790)
  8. ANT Neuro (340)
  9. Neuroelectrics (317)
  10. Muse (207)
  11. OpenBCI (201)
  12. Cognionics (128)
  13. g tec (128)
  14. mBrainTrain (28)

For more information about BCI/EEG press here.


Wednesday, May 10, 2017

Atlas Brain

The sectional Brain Atlas focuses on the anatomical structures while both the schematic and slice view are used to represent the area of interest. Any region of interest is also accessible with a search function either by name or abbreviation:
  • High detailed anatomic coronal atlas of the human brain;
  • Highlighted anatomical structures;
  • Integrated nomenclature.


For more information about EEG/BCI press here.


Tuesday, May 09, 2017

Glass Brain - 3D Brain Activity Visualization based on EEG

Glass Brain is a project by Gazzaley Lab and Neuroscape Lab at the University of California, San Francisco and the Swartz Center for Computational Neuroscience at the University of California, San Diego that’s a 3D visualization of a brain with real-time brain activity pulled in via an electroencephalography (EEG) cap that can be navigated using a gamepad. This is made possible thanks to BCILAB brain-computer interface technology and the Unity game engine.


For more information about BCI/EEG press here.


Thursday, May 04, 2017

New EEG on-line Analyser

A new open source, free software is available using this simple brainwave analysis that can import CSV data files in 3 formats:
  • OpenVibe
  • Mindwave Reader 512 verion 2.0
  • Mindwave Reader 512 version 1.0
To use the Brainwave Analyzer you’ll need a NeuroSky MindWave Headset (not Mindwave Mobile) which works with Windows 7, XP, and Vista.


The complete instructions can be found at http://brainwaves.io/wp/brainwave-analyzer-help/10

For more information about BCI/EEG press here.


Tuesday, May 02, 2017

Reset Stress Reduction Pods - A solution for Stress Reduction

RESET is a mobile, modular structure designed to include up to six different scientifically proven stress reduction methods. From intimacy to sound therapy, each unit provides a unique experience in playful or interactive way. Shape, materiality, color and light are parameters that can change per unit.

  

For more information about BCI/EEG press here.

Thursday, April 27, 2017

SPARK - Take Brain Selfies of your Neuronal Activity

New portable EEG devices are in the market every year. Now the Personal Neuro Devices company are launching the SPARK ($99) that connects directly with your smartphone.
The ability to take and send brain images to your smartphone is only the first step. The Spark environment allows developers and innovators to create their own apps and programs. Harness your Spark data and expand realm of what is possible for pervasive neurotechnology, brain monitoring and treatment.


Features
  • Sampling Rate: 256 Hz;
  • Bluetooth v.4;
  • Battery Life: up to 8 hours;
  • Neurofeedback apps to train cognitive faculties.

Have you ever taken a selfie of your brain? This is one of the many things you can do with Spark. Get an image of your brain sent directly to your phone. Keep track of your mental well-being and the state of your brain using up to date neurometrics. It's a selfie that gets below the surface.



It's probably the most easyer EEG equipment to use in the market. No doubt that this is the way for portable BCI but I am curious to know about the EEG results, from AF3 and AF4 and a few more electrodes, processed and classified in a smartphone.

For more information about BCI/EEG press here.


Wednesday, April 19, 2017

MMI - Mind-Machine Interfaces

 What are the possible socioeconomic impacts of a mind-machine interface?

Elon Musk described it as a “digital layer above the cortex that could work well and symbiotically with you,” in a way similar to the concept of cyberbrain in Ghost in the Shell (...). Neural lace would act as an interface which would regulate data exchange without permitting unfettered access - to prevent the mind from becoming “house cats” to AI.



Once this technology reaches maturity, our way of life would undergo a revolution:

  • Learners can “go to school” by allowing the interface to direct experiences and thoughts into consciousness - instead of reading, listening and interpreting from our sensory feeds.
  • A new profession would arise: mind-workers; with low-cost training (patterns fed into our brains), individuals can “lease” their “mind hour” to institutions via the MMI.
  • Once programs and systems develop to interface with large number of mind-workers, this would become a new way of employment with only one qualification: a functioning mind.
  • Human resources would demand a premium. Instead of technology replacing human labor, they now become enablers of broader employment.
  • Feelings and thoughts would become commodities for exchange and purchase, leading to new media and entertainment industries.

For more information about BCI/EEG press here.


Tuesday, April 18, 2017

3D Brain Anatomy

The company Genes to Cognition Online offers a free 3D Brain Anatomy Model, as it shows in the following picture, compatible with almost Web browsers (no Java code!).


For more information about BCI/EEG press here.


Monday, April 17, 2017

OpenVibe - Job offers

OpenVibe are looking for new professionals to its staff:
  • C++ software engineer;
  • 2 Engineers for medical certification;
  • Postdoc in real-time 3D brain-activity visualization (EEG);
  • 3 Open engineer positions to work on BCI and the OpenViBE platform;
  • Post-doctoral fellow at Inria Bordeaux on BCI and physiological computing;
  • Postdoc/software engineer.

For more information about BCI/EEG press here.


Wednesday, April 12, 2017

Low-cost and Portable BCI/EEG Equipment

Conventional BCIs are often expensive, complex to operate, and lack portability, which confines their use to laboratory settings. Portable, inexpensive BCIs can mitigate these problems, but it remains unclear whether their low-cost design compromises their performance. Therefore, we developed a portable, low-cost BCI and compared its performance to that of a conventional BCI.


This BCI was assembled by integrating a custom electroencephalogram (EEG) amplifier with an open-source microcontroller and a touchscreen. The function of the amplifier was first validated against a commercial bioamplifier, followed by a head-to-head comparison between the custom BCI (using 4 EEG channels) and a conventional 32-channel BCI.

For more information about BCI/EEG press here.


Monday, April 10, 2017

New applications through revolutionary BNCI technologies

Digital Economy & Society department from European Commission shows an article about BNCI - Brain-Neural-Computer-Interaction. This area investigates how brain activity can be recorded and used to interact with an electronic device. It uses electroencephalography (EEG) in combination with electromyography (EMG) captured from muscles electrical signals.


BNCI is an information channel for sending messages and control commands direct from the brain to theexternal world. The critical progress needed for BNCI proliferation is not only in technical terms:
  • Economy of scale – BNCI should be made useful to a wider group of users. Beyond the design for people with disabilities, a possible spill over to mainstream technologies could reduce costs and increase performance.
  • Cool Design – In BNCI systems, in particular, the sensor should be cosmetically appealing to a broad range of users. Also, usability is of primary importance in people's perception.
  • Zero Training – Preparation time and the presence of experts to set up BNCI should be reduced in the future – ideally the user can use the BNCI system independently.
  • Interdisciplinary research - Stimulating increased networking and co-operation among engineering disciplines, computer science, neuroscience, psychology, medicine and bio-physiology.
For more information about BCI/EEG press here.


Friday, April 07, 2017

BCI Research Groups

List of 50 BCI Research Groups all over the World

  1. Graz BCI Lab - Graz University of Technology, Austria
  2. The Brain Interface Project - University of British Columbia, Canada
  3. Institute of Biomaterials and Biomedical Engineering - University of Toronto, Canada
  4. Human Machine Interaction group - Shanghai Jiao Tong University, China
  5. BCI Group - Aalto University, Finland
  6. Hybrid - Inria Rennes, France
  7. Berlin BCI Group - Technical University of Berlin, Germany
  8. Brain-Machine Interface Research - University of Freiburg, Germany
  9. Brain State Decoding Lab - University of Freiburg, Germany
  10. Würzburg BCI Research Group - University of Würzburg, Germany
  11. Biomedical Engineering research group - University of Ireland Maynooth, Ireland
  12. Brain Machine Interface Lab - Instituto Italiano di Tecnologia, Italy
  13. Laboratory for Advanced Brain Signal Processing - Riken Brain Science Institute, Japan
  14. BCI Lab Group - University of Tsukuba, Japan
  15. Touyama's BCI laboratory - Toyama Prefecture University, Japan
  16. BCI Group - University of Engineering & Technology, Pakistan
  17. Laboratory for Neuroergonomics and BCI - NCR Kurchatov Institute, Russia
  18. I2R BCI Laboratory - Institute for Infocomm ResearchBCI, Singapore
  19. Sinapse - National University of Singapore, Singapore
  20. BCI Lab @ Unist - Ulsan National Institute of Science and Technology, South Korea
  21. Brain Signal Processing Laboratory - Korea University, South Korea
  22. BCI Group - Korea University, South Korea
  23. BDigital eHealth R&D - Barcelona Digital Centre Technològic, Spain
  24. BitBrain R&D - BitBrain Technologies, Spain
  25. Brain-Machine Interface Systems Lab - Miguel Hernandez University of Elche, Spain
  26. BCI Lab UGR - University of Granada, Spain
  27. UMABCI Lab - University of Málaga, Spain
  28. BCI research team - University of Zaragoza, Spain
  29. Non-Invasive Brain-Machine Interface Group - École Polytechnique de Lausanne, Switzerland
  30. BCIs Group - University of Essex, UK
  31. BCI Project - University of Oxford, UK
  32. Brain Cognition Computing Lab - University of Kent, UK
  33. Signal Processing and Control Group - University of Southampton, UK
  34. BCI and Assistive Technology - University of Ulster, UK
  35. BCI Laboratory - Colorado State University, USA
  36. ETSU BCI Laboratory - East Tennessee State University, USA
  37. Brain UI Group - Georgia Tech & Georgia State University, USA
  38. The BrainLab - Kennesaw State University, USA
  39. BCIs - Microsoft, USA
  40. The BCI project - Neil Squire Society, USA
  41. BCI Lab - Purdue University, USA
  42. Human-Computer Interaction Lab - Tufts University, USA
  43. De Sa BCI Lab - University of California, USA
  44. Swartz Center for Computational Neuroscience - University of California San Diego, USA
  45. Direct Brain Interface Laboratory - University of Michigan, USA
  46. Center for Neuro-Engineerig & Cognitive Science - University of Houston, USA
  47. Schalk Lab - Wadsworth Center, USA
  48. Wadsworth BCI Lab - Wadsworth Center, USA
  49. NeuroEngineering & BioMedical Instrumentation Lab - John Hopkins University, USA
  50. Aspen Lab - Old Dominion University, USA
For more information about BCI/EEG press here.



Thursday, April 06, 2017

Matlab code to learn Recurrent Waveforms within EEGs

When experts analyze EEGs they look for landmarks in the traces corresponding to established waveform patterns, such as phasic events of particular frequency or morphology. This modeling approach automatically learns the waveforms corresponding to transient, reoccurring events within EEG traces. 


The methodology is based on a sparsely excited model of a single EEG trace, and the model parameters are estimated using shift-invariant dictionary learning algorithms developed in the signal processing community. On the motor imagery dataset, linear discriminant analysis can distinguish the type of motor imagery based on the spatial patterns of a subset of the learned waveforms.

For more information about BCI/EEG press here.


Wednesday, April 05, 2017

EEG Source Imaging - Decoding Right Hand Motor Imagery Tasks

Brain-computer interfaces (BCIs) based on sensorimotor rhythms (SMRs) have achieved successful control, therefore there is a need to develop techniques which can identify with high spatial resolution the self-modulated neural activity reflective of the actions of a helpful output device. Over the past decade EEG source imaging (ESI) techniques have proven to be an effective approach for interpreting motor intent by reconstructing the current density on the cortical surface. 


The successful separation of these complex tasks in an offline setting provides confidence for developing an SMR BCI for the natural control of external devices using realistic motor imaginations. 

For more information about BCI/EEG press here.