They are also recording from up to 1000 channels, which is probably overkill for mind pong, tbh. But you'll need that many implanted electrodes to study long term electrode biocompatibility.
They are also recording from up to 1000 channels, which is probably overkill for mind pong, tbh. But you'll need that many implanted electrodes to study long term electrode biocompatibility.
Not exactly “Hello, World” but maybe “ToDo List App”.
Granted it moves slower than actual Atari Pong, and takes a few minutes to get the hang of controlling the paddle. But IME it isn't much harder to control the up/down of the paddle with the EEG than it is to play a game like flappy bird, and that's using a couple random scalp electrodes from a consumer device.
So yeah thanks for bringing this up, because I feel some of the comments here are acting like this is much closer to "mind reading" than it actually is. Not that it isn't cool, but the overhyping kinda kills it for me lol. Is this how robotics people feel when Boston Dynamics releases a new video?
It's not totally trivial, but a reasonably skilled person should be able to get a not-too-janky version working with a bit of effort. (Also, where are you that undergrads get to interact with monkeys?!)
For example, a very basic approach is design experimental tasks that have contrasting conditions, or events to be predicted. They don't do that. Even something as simple as pressing the controller left vs right vs not moving at all in donkeykong would have been more interesting.
In any case, brains and traditional computer circuits work on different principles as I noted in my OP. Furthermore, there is quite a lot more redundancy in brains--and partial-redundancy is a bit of how it works; for example, if you have a population of neurons with different tuning curves, then the output in response to a stimulus can be integrated, and a likelihood distribution obtained for the actual value of a stimulus; that's just fundamentally different than how, say, a 5-stage pipelined RISC cpu works.