Saturday, November 04, 2017

3D Rotative Graph from a CSV file using Python

There are several modules in Python to create different types of graphs. "The Python Graph Gallery" brings together several examples, as rotating 3D chart, created from a data file in CSV format. The next code, from Yan Holtz, save 70 PNG images in the "filename" folder. Then you just need to convert them to GIF format using, for example, gifmaker.meThis code can easily be adapted to read EEG data files.

# library
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns

# Get the data (csv file is hosted on the web)
url = 'https://python-graph-gallery.com/wp-content/uploads/volcano.csv'
data = pd.read_csv(url)

# Transform it to a long format
df=data.unstack().reset_index()
df.columns=["X","Y","Z"]

# And transform the old column name in something numeric
df['X']=pd.Categorical(df['X'])
df['X']=df['X'].cat.codes

# We are going to do 20 plots, for 20 different angles
for angle in range(70,210,2):

   # Make the plot
   fig = plt.figure()
   ax = fig.gca(projection='3d')
   ax.plot_trisurf(df['Y'], df['X'], df['Z'], cmap=plt.cm.viridis, linewidth=0.2)

   # Set the angle of the camera
   ax.view_init(30,angle)

   # Save it
   filename='PNG/ANIMATION/Volcano_step'+str(angle)+'.png'
   plt.savefig(filename, dpi=96)
   plt.gca()

For more information about BCI/EEG press here.


Friday, November 03, 2017

Brain-Computer Interface online free course

Christian Kothe, from SCCN/UCSD, presents an online course on BCI designed with a focus on modern methods. It includes basics of EEG, BCI, signal processing, machine learning, and also contains tutorials on using BCILAB and the lab streaming layer software. Although it was published in 2012 it maintains several BCI principles.


For more information about BCI/EEG press here.


Sunday, October 29, 2017

Mental Work using a Motorized Wheel

The École polytechnique fédérale de Lausanne (EPFL) in Switzerland, as a new demonstration of brainwave reading technology. It will involve EEG being connected to a motorized wheel. People will be controlling the movement of the device while the data their brainwaves generate will be anonymized, collected, and provided to researchers for study.


“The industrial revolution was a dangerous period in history, literally dangerous for the laborer who might lose a hand while not paying attention. Now we are in the cognitive revolution and the stakes are potentially higher. Today, that won’t happen because you are not in touch with the machine in any physical way. Instead, you may lose your mind.”

For more information about BCI/EGG press here.


Tuesday, October 24, 2017

Monday, October 23, 2017

Typing 100 Words in a Smartphone using just Your Mind

As I published during June 2017, Facebook aims to allow people to type 100 words per minute with just your mind, 5X faster than typing on a smartphone. Knowing the technological evolution that we are living, in your opinion, how many years Facebook will need to create this BCI solution? The possible answers are: 2 years, 5 years, 10 years, 20 years or never. Share your opinion pressing here.


For more information about BCI/EEG press here.


Tuesday, October 17, 2017

Brain Sciences Journal

Brain Sciences is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, clinical neuroscience, systems neuroscience, and theoretical and computational neuroscience. 


Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.

For more information about BCI/EEG press here.


Monday, October 16, 2017

EEGrunt: A Collection Python EEG

EEGrunt consists of a collection of functions for reading EEG data from CSV files, converting and filtering it in various ways, and finally generating pretty and informative visualizations.

Features

  • EEGrunt is compatible with data from OpenBCI and Muse.
  • EEGrunt has bandpass, notch, and highpass filters for cleaning up powerline interference, OpenBCI's DC offset, and zeroing in on the frequency band you want to analyze.
  • EEGrunt makes it easy to generate signal plots, amplitude trend graphs, spectrograms, and FFT (fast-fouier transform) graphs, etc.

Here is my small code adaptation from the original analyze_data.py file:

# Download the required files from https://github.com/curiositry/EEGrunt
import EEGrunt
source = 'openbci'
path = 'data/'
filename = 'eegrunt-obci-ovibe-test-data.csv'
session_title = "OpenBCI EEGrunt Test Data"

EEG = EEGrunt.EEGrunt(path, filename, source, session_title)
EEG.plot = 'show'

EEG.load_data()
print "\n\n\nChannels:" + str(EEG.channels)

for channel in EEG.channels:
    EEG.load_channel(channel)
    print("Processing channel "+ str(EEG.channel))
    EEG.remove_dc_offset()
    EEG.notch_mains_interference()
    EEG.signalplot()
    EEG.get_spectrum_data()

    EEG.data = EEG.bandpass(0,1)
    EEG.spectrogram()
    EEG.plot_band_power(8,12,"Alpha")
    EEG.plot_spectrum_avg_fft( )

EEG.showplots()


For more information about BCI/EGG press here.


Sunday, October 15, 2017

40th International Engineering in Medicine and Biology Conference, Hawaii

The theme of the meeting, from July 17-21, 2018, is “Learning from the Past, Looking to the Future”, inspired by the 40th anniversary of the world’s largest international biomedical engineering meeting.


Proposals for Workshops, Tutorials, Invited Sessions, Mini-Symposia and Special Sessions are invited. Submission opens on September 1, 2017 and closes November 1, 2017. 

Formore information about BCI/EEG press here.


Friday, October 13, 2017

Translational and Regenerative Medicine Conference, Italy

The International Translational and Regenerative Medicine Conference, from April 25-27, 2018 aims to the “Need for translational medicine, Challenges in translational medicine, and Opportunities in translational medicine”. Discover the advances in health practice, management and education in relation to health disparities as well as a breadth of other topics.


Conference Themes

  • Translational therapeutics/ Novel therapeutic technologies
  • Translational Neuroscience
  • Biomedical sciences / Bioengineering
  • Bio Molecular/ Nuclear imaging
  • Stem cells/ Regenerative Medicine
  • Translational Stem Cell Research
  • Scaffold in regenerative medicine
  • (...)

For more information about BCI/EEG press here.


Tuesday, September 26, 2017

Annual BCI Award 2017 Nominees

List of the twelve nominees during the Annual BCI Award 2017 conference.


  • 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?

For more information about BCI/EEG press here.


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.