Welcome the newest SciBling!
-
Go say Hello to Rhett Allain at Dot Physics.
Read the comments on this post...
2 uur geleden
A blog dedicated to recent developments in psychophysiology and clinical applications of ERP in neuropsychiatry. Ghent University Institute for Systems learning and Applied Neurophysiology.
Italian microcontroller company, Dave, has announced a new board based on TI's Sitara AM3505/AM3517 SoCs that may be just what you need for that robot you're about to send into the desert (or the Arctic). The new board is called the Lizard and it tolerates temperatures ranging from -40 F to 185 F. The Superscalar ARM Cortex-A8 processor clocks in at 500MHz. You get 256MB of DDR2 RAM, 2GB of NAND flash, 2 SD flash expansion ports, OpenGL acceleration, touchscreen controller, fast ethernet port, 2 USB host ports, 1 USB OTG port, CAN, 3 UARTs, 2 I2C, SPI, I2S, a keypad controller, JTAG, and some GPIO. Yes, it runs GNU/Linux. But be prepared to spend some money because those temperature tolerances come at the cost of $748 USD. For more details see the Linuxdevices.com article or Dave's Lizard press release (PDF format).
The main OpenViBE application fields are medical (assistance to disabled people, real-time biofeedback, neurofeedback, real-time diagnosis), multimedia (virtual reality, video games), robotics and all other application fields related to brain-computer interfaces and real-time neurosciences.
OpenViBE users can either be programmers or people not familiar with programming. This includes medical doctors, video game developers, researchers in signal-processing or robotics, etc.
In this new release, you will find the following modifiactions (+ for adds, * for modifications, - for removes) :
+ Mr. Christoph Veigl contributed and added a new driver for OpenEEG Modular EEG / Monolith EEG
+ We added a new driver : g.Tec's gUSBamp acquisition device
+ We added a new P300-based entertaining application called "Magic Card" + We added tooltips for new users :)
+ We updated the sample scenarios
* We propose a stabilized P300-based pipeline
* We made the development of new classifiers easier thanks to base algorithms
* We updated the dependencies installation script for linux so that it uses native packages instead of compiling everything from scratch
* We updated the dependencies installation for windows so that DirectX and Visual C++ Runtime gets installed automatically if needed
* We updated the online documentation and tutorials
* We fixed lots of bugs !
- The VR demo are no more built by default as OpenMASK is not compiling on recent Linux distributions
+ We added several tooltips for new users :)
+ We added a k-fold test in the classifier trainer box
+ We added a functionnality to load/save channel names in the acquisition server
+ We enabled the voting classifier box to vote either on streamed matrix or on stimulations
+ We added a frequency band selector box
+ We added a signal decimation box
+ We added a CSV file writer box (text based)
* We changed the way chanels can be selected in the signal display, power spectrum display and time frequency map display
* We reimplemented the common average reference box
=== What's coming in the next release ================
Here is a snapshot of what we are currently doing and what you can expect from the next release :
+ A BrainProducts V-Amp acquisition driver
+ A Neuroscan acquisition driver
+ A MitsarEEG driver
+ Online comparison of different processing pipelines performance (e.g. multiple classifiers)
+ More documentation on the sample scenarios
* GUI definition will move from glade to gtk-builder
* VR demos will move from OpenMASK to native Ogre3D
The human brain and body are prolific signal generators. Recent technologies and computing techniques allow us to measure, process and interpret these signals. We can now infer such things as cognitive and emotional states, to create adaptive systems and gain an understanding of user experience. In this workshop, we aim to bring together researchers from fields such as HCI, interaction design, cognitive science, psychology, psychophysiology, game research, neural or bio-engineering, and BCI.
Coffee Face
Our face-detection neural machinery can be overloaded. There’s a man’s face hidden in this image. But before we spill the beans about its location, look around and see if you can find it yourself. It’s difficult! Don’t give up too quickly: finding the face may take you a few minutes the first time you look. But once you have seen it, you will always find it immediately in every subsequent search.