WE ARE THE CHAMPIONS - Portugal UEFA Euro 2016

I know it's not a matter of BCI or EEG but I must share my happiness together with more than 10 million Portuguese!!!:-) :-) :-)

11th International Symposium on Medical Information and Communication Technology - ISMICT 2017

ISMICT 2017 aims to establish a forum to present new research and development results, exchange ideas, discuss practices and share experiences among Technology and Medicine sides including healthcare, wellness, clinical therapy, and surgery as well as ICT, mechanical, and biomedical engineering. Moreover, activities of standard, regulation, and business for medical ICT devices, systems and services will be promoted by national, European and global government and industry.

Some of the symposium topics:

• CPS for medical applications
• BAN technology (PHY, MAC, protocols)
• Antennas and radio propagation for wireless BAN
• Medical BAN applications and services
• Wearable and implantable devices
• E-Health systems and electronic medical records
• Hospital data networks and wireless hospital
• Privacy and Security issues
• Pervasive health care and patient monitoring
• Human body communication

ISMICT 2017 will be held in Instituto Superior Técnico, Lisbon, Portugal, from 6th to 8th February 2017.

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

For more informations press here. -------------------------------------   Press here to read more about BCI -------------------------------------

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.