6th International BCI Meeting in Asilomar, 2016 - Poster Presentations

POSTER PRESENTATIONS

Decoding decision outcomes from single realizations of lateral prefrontal cortex ensemble activity Predicting Forelimb Muscle Activity from Corticospinal Signals in Rats Upper Limb Movement Encoding by Intracortical Recordings in Human Sensorimotor Cortex Reliable BMI control using epidural ECoG by an hemiplegic user Time domain classification of grasp and hold tasks NAO race: exploring social context on motor imagery performance Movements of the same upper limb can be classified from low-frequency time-domain EEG signals Temporal dynamics of mouth motor cortex activity during speech Motivation matters: Psychological models in brain-computer interfacing Extraction of motor patterns from joint EEG/EMG recording: A Riemannian Geometry approach Hyperparameter Optimization for Machine Learning Problems in BCI

Towards a BCI Based on Vergence Eye Movements Spatial Abilities Play a Major Role in BCI Performance Effect of visuomotor coordination and relaxation repeated interventions for Sensorimotor BCI Comparison Between Discrete and Continuous Motor Imageries: toward a Faster Detection A visual BCI system using mild peripheral visual field stimulation M3BA: New Technology for Mobile Hybrid BCIs Comparison of session-to-session transfer (...) in motor imagery BCI Turbo-Satori: A novel real-time fNIRS data processing and analysis toolbox Attentional processes during P3-based BCI task in amyotrophic lateral sclerosis patients P300 Latency Jitter More Likely for People with ALS BCI as a New AAC Access Modality for Individuals with Advanced Paralysis. Combining Methods To Predict Accuracy of Individual Brain-Computer Interface Selections Fusion of P300 and Eye Tracker Data for Spelling Using BCI2000 Improving Motor Imagery BCI with User Response to Feedback On the pursuit of classification of EEG recorded during imagined speech FlashTypeTM: A Context Aware, Language Independent, (...) using c-VEP or Eye Tracking Sheet Music by Mind: A BCI for Composing “Brain Invaders 2”: an open source Plug & Play multi-user BCI videogame Neurofeedback via intracranial depth electrodes Intracortical Microstimulation as a Feedback Source for Brain-Computer Interface Users Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct (...)  Controlling UAVs with a SSVEP-Based BCI Extended BCI controlled alpha band neurofeedback training in schizophrenia patients Improving Motor Recovery after Stroke by Combined rTMS and BCI Training Comparison of Three Modalities of SMR-BCI within Stroke Patients Detecting walking intention using EEG phase patterns Prediction of Subject Ratings of Emotional Pictures from EEG Features Home-Based Rehabilitation System Using Portable BCI and Functional Electrical Stimulation Thought-controlled nanoscale robots in a living host Factors and values related to technology acceptance of BCI as assistive technology Online Accuracy of Invasive and Non-invasive MI BCI Adaptive assistance for BCI: a locked-in syndrome end-user case study Time varying EEG Bandpower Estimation Improves 3D Hand Motion Trajectory Prediction Accuracy Discriminating goal-directed from nongoal-directed movements (...) for BCI control Single Trial Classification of Neural Correlates of Anticipatory Behavior during Real Car Driving Detecting P300 ERPs with Convolutional Networks Frontal-Temporal Connectivity Dysfunction in a Mouse Model of Schizophrenia Tactile BCI performance of sensory experts Online classification of visual perception Attention in Complex Environment of Brain Computer Interface New approach based on frequency features of EEG signals (...) during walking Spatial Frequency Characterization and Optimization of SSVEP Stimuli Image and Neural Classifier Co-Training (...) in Rapid Serial Visual Presentation Online Optimization of Visual Stimuli for Reducing Fatigue in SSVEP-based BCIs Classification of Visual Target Detection during Guided Search using EEG Source Localization Pipeline for ECoG electrode localization on brain surface: towards a one click approach Relevant Frequency Estimation in EEG Recordings for Source Power Co-Modulation Non-verbal Communication using BCI, Haptic Feedback and Dance MindBEAGLE: An EEG-based BCI developed for patients with disorders of consciousness An Improved Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis Speech envelope tracking using around the ear EEG Toward improved covert attention application using shifting stimuli Recursive Queries for BCIs: SSVEP Shuffle Speller Predicting BCI Performance with the Detectability Index Boosting BCI accuracy using wavelet enhanced CBLE scores as a classifier feature Prediction of Difficulty Levels in Video Games from EEG Cortico-Muscular-Coupling and Covariate Shift Adaptation based BCI for (,,,) Stroke Patients Volitional Control of Beta Band Power (...) with Nexus-D Streaming Neurophysiological correlates of mind-wandering, towards a predictive BCI-based Neurofeedback Adaptive Interactive Learning for Training BCI Systems Enhanced modulation of working memory activity through fMRI neurofeedback An Automated Method for Determining Awareness and Predicting Recovery after Brain Injury (...) BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients Evaluation of Motion Artifacts on EEG Signals during Exoskeleton Gait. Lateralization patterns for movement execution (...) with concurrent EEG-fMRI and EEG-fNIRS Programming for Pediatrics: A literature review of brain-computer interfaces for neurorehabilitation in children Classification of attempted and executed hand movements from ipsilateral motor cortex in amputees Can amputees control a brain-computer interface with their missing hand? Sensorimotor Rhythms During Preparation for Robot-Assisted Movement Multiuser Spatial cVEP BCI Direct Brain-robot Control Mirage91: The Graz BCI-Racing Team – making students familiar with BCI research Demonstration of a Chronic Brain-Computer Interface using a Deep Brain Stimulator Intelligence and Brain Dynamics in Children with Cerebral Palsy Why BCI researchers should focus on attempted, not imagined movement The quantified cook – Physiological responses during cooking food (...)  Comparison of Hierarchical and Non-Hierarchical Classification for Motor Imagery Based BCI Systems Detection of errors using multiple spectro-temporal features related to distinct post-error neural processes Effects of Off-Site Attention on SSSEP Amplitude Soft Drink Effects on Brain Computer Interface Online Performance and Resting-State Arousal Tripolar Concentric Ring Electrode Encephalography Reduces Muscle Artifacts for BCI Applications Fatigue Evaluation through EEG Analysis Using Multi-scale Entropy in SSVEP-based BCIs Towards a simulator of mu rhythms for the development of BCI applications in children: (...)  Improved estimates of BCI accuracy with hierarchical Bayesian models Skipping BCI calibration: fundamental investigations on Restricted Boltzmann Machines Estimated Prevalence of Severe Paralysis With Loss of Communication in The Netherlands. Analyzing the Performance of Dry Electrodes for P300 Brain-Computer Interfaces in Participants with ALS Home use of an EEG-based BCI by people with amyotrophic lateral sclerosis (ALS)  (...) Towards an Auditory BCI for Binary Communiation in the ICU Development of a Real Time Speech Synthesizer Based Brain Computer Interface Toward a Brain Interface for Tracking Attended Auditory Sources Initial evaluation of an auditory P300 brain-computer interface for the Japanese Hiragana syllabary Bio-inspired Filter Banks for SSVEP BCIs An Online Brain-Computer Interface Using Dynamically Detected Steady-State Visual Evoked Potentials EEG Clustering Based on Phase Synchrony for Self-paced BCI Development Influence of cognitive variables in a Brain-Computer Interface driven application Social inclusion as feature to improve BCI skill training: A feasibitly case study in cerebral palsy The impact of a BCI for creative expression on the quality of life of two arists in the locked-in state Virtual Reality, Graphics and mVEP Classification Predicting Single-Trial Motor Performance from Oscillatory EEG in Chronic Stroke Patients BCI-approach for cognitive rehabilitation in stroke: pilot data from patient with spatial neglect Why and How to Use Intelligent Tutoring Systems to Adapt MI-BCI Training to Each User? Importance of the Window Size for Neurofeedback based on fMRI Functional Connectivity A Prognostic Measure on EEG-based Motor Imagery Brain-Computer Interface for Stroke The Effect of Deep Brain Stimulation on the Pallido-Cortical Coherency Pattern of Parkinson’s Disease Neurogoggles for Stroke Rehabilitation Classifying force levels of hand grasping and opening using electroencephalography cortical currents Magnetoencephalography-based Real-time Control of a Prosthetic Hand in Paralyzed Patients Pushing the limits of BCI accuracy: Winning solution of the Grasp & Lift EEG challenge. BCI-based Semi-Autonomous Wheelchair Control using (...) Cyber Physical System Approach  Decoding of two hand grasping types from EEG Development of an SSVEP Brain Computer Interface Robust to Data Nonstationarity Comparisons and Calculations in the Human Posterior Parietal Cortex Tactile BCI training for elderly people ERP Responses of the Elderly for Bisyllabic Word Stimuli Visual Perceptual-based Spatial Location Discrimination Using Single-trial EEG Analysis How is subject-to-subject transfer probable in motor imagery BCI? Potential Use of Electrical Somatosensory Modality for Brain Computer Interface Decoding auditory attention using behind the ear EEG Autocorrelation based EEG Dynamics depicting Motor Intention A New Statistical Model of EEG Noise Spectra for Real-time, Low-gamma-band SSVEP BCI Comparison of a consumer grade EEG amplifier with medical grade equipment in BCI applications Deep Transfer learning for Cross-Experiment Prediction of Rapid Serial Visual Presentation Events Communication Strategies to Involve Potential Users in BCI Research Blink Artifact Rejection Algorithms May Interfere with P3 Speller BCI Accuracy Noninvasive detection of neural sources underlying ECoGbased P300 speller performance Single-trial Classification of Inner Speech and the No-control State Using Electroencephalography Cognitive workload BCI in the maritime environment Incorporating neuroscience priors into brain-computer interfaces to detect attentional state Error-Related Potentials for EEG-Based Typing Systems Classification of motor imagery with distractions Large Scale EC research projects: ComaWare and recoveriX Leveraging Temporal Confusion in P300 Spellers BCI-controlled Brain Painting at home: years of use Brain Painting V2: long-term evaluation by an end-user at home – an update Unity Plugin for Immersive BCI Applications GKT-Enhanced Applications Motor Imagery Based BCI Racing: Challenge a Friend with 4 Channel Dry Electrode EEG First steps towards adaptive deep brain stimulation in Parkinson’s disease Treating attention deficits in chronic stroke patients using Slow Cortical Potential (SCP) Neurofeedback A Quest for the Cortical Representation of Subjective Surprise With a Virtual Reality Neurofeedback Platform Volitional control of basal ganglia activity for the treatment of Parkinson’s disease Analysis of Subcortical Beta Activities in Stroke Patients for Motor Rehabilitation Comparing EEG and fNIRS for a covert attention BCI Theta phase coupling with rhythmic motor output during visuomotor tracking Noninvasive EEG Based Control of a Robotic Arm for Reach and Grasp Tasks Detecting and utilizing the idle state in an intracortical brain-computer interface Scenario screen: P300 speller variation for wheelchair control Separable decoding of cue, intention, and movement information from the fronto-parietal grasping-network A surgeon’s brain switch: cortical dynamics of cognitive load in surgeons Movement Related Cortical Potential based on Multi-Class Motor Imagery Effect of a cognitive involving videogame on MI task Towards Mobile and Wearable Brain-Computer Interfaces Oscillatory modulations during human verbal interaction – A simultaneous EEG/MEG study Combination of EEG and fNIRS for the (Un)Conscious Discrmination during Anesthesia Design of Duty-cycle Screening Paradigm for Steady-State Somatosensory Evoked Potential Transfer Learning with Large-Scale Data in Brain-Computer Interfaces NPXLab Suite 2016: tools for BCI signal analysis Word networks for BCI decoding purposes Distinct timescales of cortical reorganization in a long-term learning task using an intracortical BCI Electrophysiological recording stability in human intracortical brain-computer interface users Visual and auditory P300-BCI: influence of daytime on P300 amplitude in patients with ALS Beyond the control: idle state detection in human intracortical Brain-Computer Interfaces Spelling with cursor movements modified by implicit user response Subject-Specific Electrode Subsets for P300 BCI: Typically Developing and Cerebral Palsy Populations Using congruent activity from primary motor cortex and the cognitive attention network to improve the specificity of the BCI control signal. Features reduction for P300 Spellers Re(con)volution: accurate response prediction for BBVEP-based BCI The contribution of counting to neural activity evoked by the oddball paradigm A yes/no auditory-based BCI: trying to communicate with complete locked-in patients Novel SSVEP-BCI Setup Evaluation During Emotional State Elicited by Unpleasant Sounds A New Region-based BCI Speller Design using Steady State Visual Evoked Potentials Multisensory Stimulation Framework for BCI-based Communication in the ICU Context Aware Recursive Bayesian Estimation in BCI for Graph Navigation An Affective Brain-Computer Music Interface Competitive and Collaborative Multiuser BCI Emotion Imagery BCI Improving Motor Imagination with Support of Real-Time LORETA Neurofeedback fMRI informed EEG Neurofeedback from the IFG Controlling Gestures of a Social Robot in a Brain Machine Interface Platform Neural activity in a simultaneous BCI & manual task A novel BCI based rehabilitation approach for aphasia rehabilitation Brain-Computer Interface based communication in patients diagnosed with post-stroke aphasia Toward standards in AAC-BCI performance measurement and a data repository Towards Detecting of Walking Intention from Readiness Potentials for a Powered Exoskeleton Control On the use of ROS as a common infrastructure for robotic BCI driven applications Full Body Spatial Tactile BCI for Direct Brain-robot Control Can SSVEP be modulated by tDCS? Investigating Depth of Cognitive Processing in the Brain Dynamics of Oscillations Single Channel Hybrid BCI System using Motor Imagery and SSVEP Efficient Transfer Learning in Brain Computer Interfaces using Spectral Meta Learning 2-D analog like control of a cursor by means of SSVEP acquired with two dry electrodes and elicited by 4 LEDs ERP features correlate with reaction time in a covert-attention task Disentangeling working memory load – finding inhibition and updating components in EEG data Pilot Study on Using Fractional Order Calculus-Based Filtering for the Purpose of EEG Signals Analysis CEBL3: A New Software Platform for EEG Analysis and Rapid Prototyping of BCI Technologies A Real-Time Neural Spike Based Data Reduction Platform Predicting Serial Visual Presentation Events from EEG Using Spatial-temporal Convolution Neural Network Neural Signature of Selective Sensation based Tactile BCI in the Context of ECoG Investigation Music rhythm reconstruction from ECoG Visual and audiory P300-BCI: psychological predictors of performance in healthy subjects Articulatory gestures are insensitive to within-word context Nationwide survey of 780 Japanese patients with amyotrophic lateral sclerosis: Their present status and expectations from brain–computer interfaces Online BCI Typing using Language Models by ALS Patients in their Homes Detecting Drowsiness in RSVP KeyboardTM BCI Users with SSPI Effects of Stimuli Relevance on Auditory BCI A user-focused study of auditory P300 brain-computer interface design Improving the information transfer rate at auditory BCI system using virtual sound Optimizing the face Paradigm for BCI systems with the modified Mismatch Negativity paradigm An Audiovisual BCI for Awareness Evaluation in Patients with Disorder of Consciousness FLashLifeTM: A Context Aware Solution for Everyday Life Robust, accurate spelling based on error-related potentials A Transfer Learning Approach for Adaptive Classification in P300 Paradigms Affective BCI for characterizing museum visitors response A method for estimating emotional arousal changes (...) during movie screening using SSVEP My Virtual Dream: Brain Computer Interface In An Immersive Art Environment Real-time self-regulation across multiple visual neurofeedback presentations Improving Memory Performance Using a Wearable BCI Reducing BCI calibration time with transfer learning: a shrinkage approach Keeping disability in mind: A qualitative study of BCI researcher and end user perspectives Hemicraniectomy-based EEG as a platform for low-risk investigations of BCIs in subjects with brain injuries A Portable, Low-Cost BCI for Stroke Rehabilitation Enhanced Motor Imagery Classification in EEG-BCI using Multivariate EMD based filtering and CSP Features BCI controlled neuromuscular electrical stimulation enables sustained motor recovery in chronic stroke victims

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6th International BCI Meeting in Asilomar, 2016 - Oral Presentations

ORAL PRESENTATIONS Why BCI researchers should focus on attempted, not imagined movement An Audiovisual BCI for Awareness Evaluation in Patients with Disorder of Consciousness Treating attention deficits in chronic stroke patients using Slow Cortical Potential (SCP) Neurofeedback Movements of the same upper limb can be classified from low-frequency time-domain EEG signals Beyond the control: idle state detection in human intracortical Brain-Computer Interfaces Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct Current Stimulation Alters Task Performance Lateralization patterns for movement execution and imagination investigated with concurrent EEG-fMRI and EEG-fNIRS Intracortical Microstimulation as a Feedback Source for Brain-Computer Interface Users Separable decoding of cue, intention, and movement information from the fronto-parietal grasping-network Neurophysiological correlates of mind-wandering, towards a predictive BCI-based Neurofeedback BCI controlled neuromuscular electrical stimulation enables sustained motor recovery in chronic stroke victims Attentional processes during P3-based Brain Computer Interface task in amyotrophic lateral sclerosis patients Combining Methods To Predict Accuracy of Individual Brain-Computer Interface Selections Improving Memory Performance Using a Wearable BCI For more informations press here.

3D Hologram to Walk through the Brain

Taking a walk inside your brain sounds like science fiction, but this hologram takes us a step closer, according to the researchers who created it. The team at 3D developers Holoxica in Scotland claim this is the first ever 3D digital hologram of the human brain fibre connections.

Developers say a hologram of a healthy brain was made via a technique called “Fibre Tractography”. The technique tracks nerve fibre pathways inside the brain by measuring the movement of water molecules in the brain’s white matter.

More information press here.

Job in EEG, Scientific Consultant - Brain Vision

Brain Vision is looking for candidates with a deep understanding of EEG research.

Brain Vision, LLC is looking for scientists to join our team. We seek candidates with excellent communication skills: fluent written and spoken scientific English (proficiency in other languages will be seen as a plus, but is not a requirement). An academic degree (PhD is preferred, but we will also consider an Academic Diploma and Masters) in neuroscience, psychology, psychophysiology, or a related field is required.

The candidates should have expertise in conducting, analyzing, and publishing EEG experiments or similar complex neurophysiological analyses (the ideal candidate is a current user of our hardware and software solutions). Experience in writing and managing grants is also a plus.

More information here.

BCI with fully Implantable Devices - DARPA

The Defense Advanced Research Projects Agency (DARPA) program aims to develop an implantable neural interface able to provide unprecedented signal resolution and data-transfer bandwidth between the human brain and the digital world. The interface would serve as a translator, converting between the electrochemical language used by neurons in the brain and the ones and zeros that constitute the language of information technology.

The goal is to achieve this communications link in a biocompatible device no larger than one cubic centimeter in size, roughly the volume of two nickels stacked back to back.

More information here.

1st NOVA Biomedical Engineering Workshop

This workshop will occur at the Library of Faculdade Ciências e Tecnologia (FCT) of the Universidade NOVA de Lisboa (UNL) - Portugal and is intended for faculty, research staff and students at all levels. It aims to disseminate ongoing research and innovation activities to Biomedical Engineering at the several schools of NOVA and other Universities.

The program includes invited speakers and will accomodate selected talks and posters presentation covering several scientific areas includind Brain-Computer Interfaces.

BCI by Electrical Cortex Activity: Challenges in Creating a Cognitive System for Mobile Devices Using SSVEP

Conference: DoCEIS2016 - Technological Innovation for Cyber-Physical Systems, Portugal
Book Title: Technological Innovation for Cyber-Physical Systems
DOI: 10.1007/978-3-319-31165-4_14

Abstract: The research field of Brain-Computer Interfaces (BCI) emerged in an attempt to enable communication between paralyzed patients and technology. Identifying an individual’s mental state, through his brain’s electric activity, a typical BCI system assigns to it a particular action in the computer. It is known that when the visual cortex is stimulated with a certain frequency, it shows activity with the same frequency. This Steady-State Visually Evoked Potential (SSVEP) activity can be used to achieve the aforementioned communication goal. In this work, we first analyze the spontaneous electrical activity of the brain, to distinguish two mental sates (concentration / meditation). Then, following an SSVEP type of approach, we divide the stimulating screen in four areas, each of which flickering at a distinct frequency. By observing the responding frequency from the occipital lobe of the subject, we can then estimate the 2 bit decision he made. We observe that such a setup is efficient for real time BCI, and can be easily integrated in mobile devices. Besides, the user is able to change voluntarily her/his decisions, interacting with the system in a natural manner.

For more information click here.

NeuroTechNix Conference, November 2016 - Porto, Portugal

This congress will be a meeting point of multidisciplinary teams, of both biomedical and engineering professionals, academics and practitioners. It will promote translational discussions on how technology can meet the needs of both clinical practitioners and persons with neurological disorders.

Early basic registration fees range between 475€ for Member of INSTICC (no lunches included) and 595€ - Non member, with lunches included.

Important Dates

• Complete Paper Submission: May 26, 2016 
• Extended Abstracts: July 4, 2016 

For more informations press here.

19th International Conference on Cognitive Neuroscience - Paris

This Conference, between 23 and 24 January - 2017, aims to bring together scientists and researchers to exchange and share their experiences and results about all aspects of Cognitive Neuroscience including BCI and EEG. 

It also provides the premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and the solutions adopted in the field of Cognitive Neuroscience.

Paper Submission Deadline is July 23, 2016

More informations press here.

NeuroBB - Forum BCI

The NeuroBB is a EEG/BCI/Neurofeedback Forum where it is possible to discuss and exchange ideas about Brain-Computer Interfaces.

For more information about BCI/EEG press here.

Control your Dreams with Aurora Headband

"Have a Lucid Dream!" - This is the new concept of the iWinks company from San Diego, USA. With this system is possible to know you are dreaming, after wakeup remember the dreams or just explore the subconscious.

Features

• Dream Sounds: Direct your dreams! Smartphone sounds set your dream mood;
• Comfort: Aurora’s hypoallergenic construction and plush silver sensors;
• Alarm Clock: Simply set your desired wake-up period;
• Clinic-Proven: Sleep tracking algorithm learns your sleep stages;
• Connected: Bluetooth Low Energy onboard;
• Future-Proof: Open SDK empowers researchers to find new uses;
• Open Sleep Research Platform: Aurora empowers developers to explore sleep and brain-computer-interface (BCI) research by leveraging our research-grade sensors.

I'm a little concerned about the presentation of this product and all its features but we will wait for the results. For more informations press here.

Brain Products - Jobs and EEG & Eye Tracking

The company Brain Products from Germany as a new study on combining EEG & Eye Tracking about the Neuroscience of Implicit Moral Evaluation and Its Relation to Generosity in Early Childhood. Watch the next 3 minutes video.

They are also looking for a position to Scientific Consultant (Neuroscience research applications). The Brain Products headquarters in Gilching (near Munich/Germany) needs your experience and creativity to strengthen the Scientific Support team. Brain Products is the global player for a vast variety of scientific applications in the context of electroencephalography.

Responsabilities:

• Support of end users in applying signal processing methods
• Development of training and instruction material
• Compilation of user feedback for product improvements 
• User workshop preparation
• Company representation at international conferences

More informations can be found here.

BCI Jobs - PhD and PostDoc Positions at Graz BCI Lab

A PostDoc position is available at the Institute of Neural Engineering, Graz-BCI Lab, Austria.

We are looking for a person with a PhD in information & computer engineering, computer science, biomedical engineering, or neuroscience with experience and background in the following fields: EEG, neuroscience, biosignal processing, machine learning, brain-computer interfaces, motor neuroprosthetics, feedback, functional brain mapping but also skills in managing a project and supervising students.

Monthly remuneration € 3.590,70 gross (14× per annum), starting at May 1 2016.

There are also, not one but, several PhD positions available.

We are looking for a person with a MSc or Dipl.-Ing. in information & computer engineering, computer science, biomedical engineering, with experience/background in some of the following fields: EEG, neuroscience, biosignal processing, machine learning, brain-computer interfaces, motor neuroprosthetics, functional brain mapping. 

Monthly remuneration € 2.696,50 x 14 gross (14× per annum), starting at May 1 2016.


More information about this Jobs can be found on the website:http://bci.tugraz.at/

50.000 PageViews

More than 50.000 page views to this blog!!!

Mint Labs - A Google Maps Solution for the Brain

Mint Labs is a new company based on a cloud platform, created by Paulo Rodrigues, who wants to affirm itself as a "Google Maps for the brain" solution.

We have developed complex mathematical algorithms to de-noise and enhance MRI images while preserving the important structural information in them. These algorithms are kept in our servers, hosted with Google Cloud Engine. We use Leap Motion as an intuitive form of interaction with this 3D maps. This gives the advantage of allowing the doctor to interact and visualize patient images right at point of care, at the operating room. 

Main Features:

• Storage - Store your imaging data with flexible billing, without hardware, support and any maintenance costs.
• Processing - Unlike the “do-it-yourself” approach with costly upfront outlay and months of implementation, Mint Labs allows you to automatically apply processing apps, and just pay for what you use.
• Sharing - Partners around the world can share datasets securely in one place with permissions-based controls.
• Scientific Consulting - Have our imaging, visualization, computational neuroscience and cloud security expertise at your disposal. Accelerate your path to neuroimaging today.

It is certainly an excellent idea in an innovative way to provide quick and easy access to process this type of "brain data". A genuine Royal idea. :-)

For more information press here.

World Academy of Science, Engineering and Technology

The following image appears to have been taken from a travel agency but is not. It is the World Academy of Science, Engineering and Technology with an extensive conferences program worldwide.

More information here.

Sleep well with Kokoon EEG headphones

Kokoon is a new EEG system using integrated headphones that responds with audio improving sleep quality, remove disruptions and protect regenerative deep sleep.

Pre-orders to "Wake restored" are available with a price of $229.

NeuroPro - Innovative EEG Low-cost Solution

NeuroPro is a Swiss Medical Company that focus their research to provide technologies for patients suffering from neurological conditions and to support the advancement of neurological research and treatment, as epilepsy.

More information here. (the web site is very slow)

Present your EEG Application ideas to the World

Do you have an idea to create a new EEG application? Consciousness Hacking are a global community to explore and present your ideas with a supportive group that helps you to bring them to reality. 

Consumer EEG headsets are beginning to enter the market enabling inexpensive access to brainwave activity. Self-tracking biometric and biomechanical technologies capable of measuring signals such as pulse, skin conductivity, muscle tension, breath analysis, heart rate variability and or physical movement are becoming readily available as viable commercial products.

Computation is no longer a limiting factor, and massive amounts of data can be scoured for patterns no human mind could identify (...). Neuroscience research is beginning to deeply explore the nature of not only meditation, but of mystical and enlightened states. And these examples are just the tip of the iceberg.

More information here.

Detecting errors in the actions of others: An EEG study in pianists, musicians and musically naïve people

M.S. Panasiti, E.F. Pavone and S.M. Aglioti from the Department of Psychology, University of Rome “La Sapienza” - Italy, wrote this new article "Electrocortical signatures of detecting errors in the actions of others: An EEG study in pianists, musicians and musically naïve people" that uses EEG to explored the link between sensorimotor expertise and the ability to detect another’s erroneous action.

Detecting others’ action errors plays a critical role in social life. Studies indicate that executing action errors and observing other’s errors activate a specific cerebral system specialized for performance monitoring and detecting mismatches between an internal model of the action and the executed/observed one. Such a system may be particularly important for highly skilled performance. By recording EEG in expert pianists, non-pianist musicians and musically naïve individuals while they observed correct or incorrect mute piano sequences. Superior error detection in pianists was paralleled by a larger Pe, hinting at the selective activation of the parietal error-monitoring system in visuo-motor experts. Moreover, only in pianists did action observation induce left lateralized mu suppression in the 10–12 Hz band, reflecting somatotopic sensorimotor simulation.(...) This study shows that specific electrocortical indices link motor simulation and detection of errors in the actions of others.

Topics of Interest

• Error detection in motor experts is paralleled by Pe over parietal electrodes;
• Observing domain-specific actions induce lateralized mu suppression in pianist;.
• Motor simulation improves sensitivity to errors which in turn improves detection.

More information about BCI/EEG press here.

Identifying Stable Patterns over Time for Emotion Recognition from EEG

Wei-Long Zheng, Jia-Yi Zhu, and Bao-Liang Lu, from Shanghai Jiao Tong University, recently published the paper "Identifying Stable Patterns over Time for Emotion Recognition from EEG" using a machine learning approach.

(...), we focus on identifying EEG stability in emotion recognition. (...) The experimental results indicate that stable patterns exhibit consistency across sessions; the lateral temporal areas activate more for positive emotion than negative one in beta and gamma bands; the neural patterns of neutral emotion have higher alpha responses at parietal and occipital sites; and for negative emotion, the neural patterns have significant higher delta responses at parietal and occipital sites and higher gamma responses at prefrontal sites. The performance of our emotion recognition system shows that the neural patterns are relatively stable within and between sessions.

For more information about BCI/EEG press here.

Advanced Topics in Brain-Computer Interfacing

A new BCI book from Landon Vaden, it is available for reading from December 24 - 2015.

Research on brain-computer interfacing began in the 1970s at the University of California, Los Angeles under a grant from the National Science Foundation, followed by a contract from DARPA. The papers published after this research also mark the first appearance of the expression brain–computer interface in scientific literature.

With a price of $59 is also available here.

BrainLink - EEG Headband

BrainLink is a new EEG headband, made in China from Macrotellect, with a price of 255€. Developed primarily for fitness control, relax or increase focus, this equipment presents its core functions as:

• Focus Training with Brainwave Reports
• Meditation and Pressure Relief 
• Play Games.

BrainLink is a portable mental fitness headband wearable which helps you to maintain and achieve your peak mental fitness at your own pace. Brainwave sensing technology used in the wearable allows you to see and manage the progress of your mental fitness goals.

More informations here.

Real-time Neuroimaging and Cognitive Monitoring using Wearable Dry EEG

The researchers from the University of California, San Diego,  have developed a new EEG system with 64-channels to interpret and analyse the electrical brain activity using P300.

"We will be able to prompt the brain to fix its own problems," said Gert Cauwenberghs, a bioengineering professor at the Jacobs School and a principal investigator of the research. "We are trying to get away from invasive technologies, such as deep brain stimulation and prescription medications, and instead start up a repair process by using the brain's synaptic plasticity."

The article "Real-time neuroimaging and cognitive monitoring using wearable dry EEG" is available here.

DoCEIS 2016 - Advanced Doctoral Conference on Computing, Electrical and Industrial Systems

During April, 11-13, 2016, DoCEIS’16 will provide in Lisbon - Portugal a platform for the presentation of research results coming out of the PhD works, PhD thesis plans and practical aspects of a PhD work.

The 7th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS’16) will reflect on the growing interests in research, development and application of Cyber-Physical Systems. Fast progress on embedded intelligence and interconnection of systems, enabled by advances in pervasive computing, sensing technologies, and computer networks, including developments on Internet of Things and Cloud Computing, lead to new architectural approaches to systems engineering.

Sponsors:

More informations here.

AREADNE 2016 - Research of Neural Ensembles

In 22-26 June will be held the conference AREADNE 2016 in Greece. One of the proposed aims is to understand how the activation of large networks of neurons gives rise to the higher order functions of the brain including learning, memory, cognition, perception, action and ultimately conscious awareness. 

There are three major goals of the AREADNE Conferences. First and foremost, the meetings are intended to gather global scientific leaders who work on neural ensembles and create a touch-point for a widely disparate and hybrid field. Second, with a spectacular setting on Santorini, the conferences have been carefully planned to foster discussion and interaction between attendees to encourage the establishment of lasting professional relationships. Third, these meetings continue our efforts to promote systems neuroscience in Greece through creating a world-class forum for cutting-edge research.

Important Dates

• 2016-01-06 Abstract submissions open
• 2016-02-12 Abstract submissions close
• 2016-03-15 Abstract notifications sent

More informations here.

4th International Winter Conference on BCI

The 4th International Winter Conference on BCI in Korea, 22-24 February 2016, aims to encourage overview, in-depth talks and discussions, on the latest research of BCI. 

Its devotion includes invasive recording, semi-invasive ECoG, non-invasive EEG, non-invasive NIRS and fMRI measurement and potential combinations of the different methods furthermore advances in data analysis. Informal open discussion will be highly encouraged during its poster session.

Topics of Interest

• Novel BCI paradigms to elicit and collect data in different settings;
• Methods for the identification of mental status for BCI;
• Novel ideas for the combination of different mental strategies;
• Innovative theories or methodologies for user- or environment-adaptive BCIs;
• Advanced machine learning techniques for bio-signal processing and classification;
• Novel ideas and methodologies for multi-modal BCI;
• Novel methods or concepts for neurofeedback;
• Ideas for the advancement of BCI through open source collaboration;
• Applications of BCI including games, neuro-rehabilitation, control, virtual reality, etc.

More informations here.

Brain-Computer Interface Society

The new BCI Society was created to foster research leading to technologies that enable people to interact with the world through brain signals. 

It will work with other BCI-related organizations, sharing research and organize meetings among other activities. Jonathan Wolpaw and Nick Ramsey are the President and Vice-President of this society. The official site will also have information about Events, Jobs, Announcements. 

If you have interest compete for a BCI SOCIETY logo contest until 15 February 2016. More information here.

Happy New 2016

From Lisbon to worldwide wish for a happy 2016 to all researchers and BCI enthusiasts!

Photograph taken next to the River Tagus, Parque das Nações, Lisbon, Portugal. 

Author: José Boldt

Patient Plays a Musical Instrument While Brain Tumour Removed

A team of neurosurgeons at a Spain hospital successfully removed a brain tumour while the patient was conscious and playing saxophone. With this approach it was possible to operate without damaging the part of the brain involved in musical language.

Aguilera, who was told he had a brain tumour after suffering dizzy spells, said: “Music is what has accompanied me half a lifetime, so when the doctors told me I could do that, I did not think twice.”

This is clearly one of the many advances in medicine and neuroscience. More information here.

Silent Speech EEG Classification

Silent Speech Classification is a very interesting BCI research using a large number of electrodes where several methods are applied as Adaptive Collection, Common Spatial Patterns (CSP), Support Vector Machine with Gaussian kernel (SVM-G) and Relevance Vector Machine with Gaussian kernel (RVM). 

Mariko Matsumoto is one of the researches dedicated to this area published last year two papers: “Silent speech decoder using adaptive collection,” “Verification of Adaptive Collection for BCI” and "BCI using Silent Speech for Speech Assistive Device".

For more information about BCI/EEG press here.

Brain Computer Interfaces: Fundamentals and Methods

A new BCI book created by Laurent Bougrain, Maureen Clerc and Fabien Lotte will be released soon.

With a price of $140 pre-orders are available here.

OpenVibe 1.1.0 - new version

BCI OpenVibe application has since October a new version available for download. This toolbox allows the creation of BCI circuits using predefined modules or created according to our needs. It was mencioned before in this blog with the posts: OpenVibe 3D Voxel and Topographic Map, Open Source Software For EEG and EEG Animation Using Interactive Matlab Toolbox. 

Following are some of the new features implemented:

• Plugins: Implemented MLP classification algorithm; Added a Regularized version of the CSP filter trainer; Added a new plugin category for evaluation; Added 3 new boxes to evaluation: kappa coefficient, ROCCurve, General Statistics Generator.
• New open source drivers: eemagine EEGO.
• New binary drivers: Brain Rhythm 8, Simulator, SmartBCI and Wearable Sensing Dry Sensor Interface.
• More Plugins: The LDA now has a native multiclass mode; The Spatial Filter box now accepts a configuration file which contains a matrix (refer to the doc for the format specification); The xDawn and the CSP trainer can generate matrix file for the spatial filter; Various optimizations of the Spatial Filter; Changed Signal Display refresh paradigm to make it handle bigger datasets; TCP writer box sends Streamed Matrix and Signal in row-major order.
• Misc: Added ASCII import and export functions for IMatrix matrices
• Drivers: Extended Emotiv EPOC support to gnu/linux; Added Software tagging to the universal TMSI driver; Moved the check impedance option to be part of driver preferences; Various updates to BrainProducts VAmp, BrainProducts Brainamp.
• Tutorials: Added an example of stimulation passing to Python.

It is also supported now by more than 20 acquisition devices:

ANT, ANT/EEmagine, Biosemi, BrainMaster, Brain Products, Cognionics, CTF/VSM, EGI, Emotiv, gTec, LabStreamingLayer, mBrainTrain, MCS/MKS, Micromed, MindMedia, Mitsar, Neuroelectrics, Neurosky, OpenBCI, OpenEEG, TMSi.

For more information press here.