Our cybernetic implant options draw nearer (and more intelligent) –
The Caltech team has designed a system that would make the procedure more predictable by attaching a tiny MEMS-based motor to each electrode on a multichannel electrode array and using an algorithm to direct the electrodes to individual neurons. The MEMS part is still a work in progress, but the software algorithm has been worked out and tested in Caltech neuroscience labs.
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As the electrodes are driven into the tissue, the software starts taking sample recordings to detect spikes of electrical activity at the electrode tip. When the software detects spikes, it moves forward in small increments and tracks how the signals change. After determining whether the signal has improved or gotten worse, it the algorithm moves the electrode to a new position and does more recording and comparing, driving the electrode in further if necessary until it finds the best signal. If the signal wanes, the algorithm will automatically adjust the electrode position to improve the signal.
Hmm, self-adjusting electrodes – If this keeps up, I may get my ‘Computer-Neurological-Control’ milling machine after all. – A robotic brain-computer interface
6 thoughts on “Robotic Brain-computer interface in development”
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Electrodes that move around…doesn’t that just sound like a way to more effectively tear up a person’s brain instead of having static electrodes, or am I the only one that sees that?
I believe we are speaking about relatively minute movements – even still the tought of this action going on internally is not terribly attractive.
Judging from the photo, the size of this device has a very long way to go. Even still, the concept is intriguing.
Hello. I am doing a little research about Brain computer Interface. Brain Computer Interface technology provides a direct electronic interface and can convey messages and commands directly from the human brain to a computer. It involves monitoring conscious brain electrical activity via electroencephalogram (EEG) signals and detecting characteristics of EEG patterns via digital signal processing algorithms that the user generates to communicate. So.. Yesterday I found one great Open Access ( free to download&share ) book “Recent Advances in Brain-Computer Interface Systems” here : http://www.intechopen.com/books/show/title/recent-advances-in-brain-computer-interface-systems Take a look, it is great. Cheers! ;)