BioSemi activeTwo EEG using SSVEP

The BCI and Neural Engineering Lab of University of Essex shows in the next video how to control a cursor using SSVEP.

For more information about BCI/EEG press here.

Movements of the same limb being classified from low frequency time domain EEG signals

Patrick Ofner gave this talk on movements of the same limb being classified from low frequency time domain EEG signals at the BCI Meeting in 2016.

Jon Wolpaw's Talk on the Future of BCI

Dr. Jon Wolpaw, a neurologist and President of the BCI Society, gives a talk on the future of Brain Computer Interfaces at the Sixth International Brain-Computer Interface Meeting at the Asilomar Conference Grounds from May 30th to June 3rd, 2016

Open-Source Biosignal Acquisition Device

Glasgow Neuro has released an open-source data acquisition device for wearable health monitoring applications. It can amplify electroencephalography (EEG) signals, also ECG and EMG, and be processed by external devices such as tablets and smartphones.

The ATTYS is able to transmit raw data, uncompressed signal data at 24 bits wirelessly via Bluetooth. Apps can then be easily built that filter and process this data while maintaining the ability to see the original source, a feature particularly useful for scientific studies. See the video.

For more information about BCI/EEG press here.

Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

A new concept of BCI called Brain-Information Interface is being studied with already published results.

Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user’s interest or search intention is necessary to recommend and retrieve relevant information from these collections. We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals. In experiments, participants were asked to read Wikipedia documents about a selection of topics while their EEG was recorded. Based on the prediction of word relevance, the individual’s search intent was modeled and successfully used for retrieving new relevant documents from the whole English Wikipedia corpus.

The results show that the users’ interests toward digital content can be modeled from the brain signals evoked by reading. The introduced brain-relevance paradigm enables the recommendation of information without any explicit user interaction and may be applied across diverse informationintensive applications.

For more information press here. 

Average Salary of BCI Jobs

Using the Indeed application, the Average Salary of a BCI Engineer in USA is $8.500/month (8.000€).

Facebook is looking for a BCI Engineer - Salary: $145.000/year

Facebook's mission is to give people the power to share, and make the world more open and connected. The Technical Project Team has the responsibility for scoping the effort from inception to product, communicating it to others, creating the partnerships necessary to achieve targeted results, and hitting key milestones. 

B8 seeks an experienced Brain-Computer Interface (BCI) Engineer who will be responsible for working on a 2-year B8 project focused on developing advanced BCI technologies. We are looking for a slightly impatient individual willing to face down their fear of failure to accomplish bold things. This is a two-year position based in our Menlo Park office.

Responsibilities

• Application of machine learning methods, including encoding and decoding models, to neuroimaging and electrophysiological data
• Oversee collaborative research, data management, and software development across a diverse set of external partners including academic and industrial organizations
• Travel to partner sites to review progress and facilitate collaboration

Minimum Qualifications

• Ph.D. degree in neuroscience, computer science, electrical engineering, or related quantitative technical field required
• 3+ years of experience with brain-computer interface technologies or other applications or machine learning methods to neuroimaging and/or electrophysiological data
• Ability to work effectively with diverse partners, vendors, and internal teams.
• Knowledge with software engineering and development
• Familiarity with commercial or open source software packages for artificial speech recognition, natural language processing, or computer vision methods

More information press here

-------------------------------------
  Press here to read more about BCI
-------------------------------------

Global BCI Market is Expected to Reach a Value of US$1.23 bn by 2024

RESEARCHMOZ added Most up-to-date research on BCI Market .

• By Type: Invasive BCI, Partially Invasive BCI, Noninvasive BCI; 
• By Technology: Electroencephalography (EEG), Electrocorticography (ECOG), Near Infrared Spectroscopy (NIRS), Functional Magnetic Resonance Imaging (fMRI), Magnetoencephalography (MEG); 
• By Application: Health Care, Gaming and Entertainment, Communication and Others.

For more information about BCI/EEG press here.

How We Learn - Neurons, Brain Chemistry and Neurotransmission

Synapses and Neural Pathways - Brain Nertworking increasing our knowledge.

One more year dedicated to BCI

Greetings from Lisbon, Portugal: https://goo.gl/bdIAer

-------------------------------------
  Press here to read more about BCI

-------------------------------------