Rat Propulsion Via Brain-machine Interface

Our little red-eyed friend can drive this vehicle around with his mind. WITH HIS MIND, MAN!

This is the product of research into adaptive technologies. The process is pretty invasive, implanting neural electrodes in the motor cortex of the brain. The hope is that some day this will be a safe and reliable prospect for returning mobility to paralysis victims.

We found it interesting that the vehicle was trained to react to the rats’ movements. They were allowed to move around a test space under their own power while brain signals were monitored by the electrodes. Video tracking was used to correlate their movements with those signals, and that data is used to command the motors for what the Japanese researchers are calling RatCar.

We can see the possibilities opening up for a mechanized cockroach v. RatCar free-for-all. Something of a battlebots with a live tilt. But we kid, this is actually quite creepy.

[via Neatorama and PopSci]

Lucid Dreaming

When we saw [merkz] use of an Arduino to produce lucid dreaming we were quite shocked. Unlike typical setups that just flash a light through sleep, his system monitors eye movement through electrodes and is able to send the data to a computer for graphing and analyzing.  The only problem being we couldn’t find a circuit diagram or code.

Not ones to be shot down so quickly, a Google revealed this thread on making ‘Dream Goggles’, which was really a Brain-Wave Machine based on the parallel port. Some modifications of an ECG collector’s electrodes using sound cards, and you could have your own lucid dreaming.

[Thanks Phil]

Twitter Brain Interface

nia

Just in time for the influx of sedentary Oprah viewers, [Adam Wilson] built a brain interface that allows you to post Twitter messages. The electrode cap monitors the user’s brain functions to determine where they’re looking. The display slowly flashes each letter in the alphabet. The user focuses on the letter they want and when it flashes the cap can pick up the resulting impulse. It’s a long process and the average user can only do ten characters a minute i.e. 14 minutes to use all 140 characters in a Twitter post. It’s interesting research and shows how far we still need to go with neural interfaces. The researchers note that Twitter’s forced brevity levels the playing field between locked-in patients and normal users. A video of the device in use is available on the NITRO blog.

Related: KanEye tracking system

[via @johl]