Scientists Predicting Intentions
An anonymous reader writes to tell us German scientists claim to have the means of predicting decisions of high level mental activity. "In the past, experts had been able to detect decisions about making physical movements in advance. But researchers at Berlin's Bernstein Center for Computational Neuroscience claim they have now, for the first time, identified people's decisions about how they would later do a high-level mental activity _ in this case, adding versus subtracting."
My first reaction is suspicion.... suspicion of a whole lot of possibilities regardless of whether or not this work has any validity. For instance, I've talked with more than one DOD general who was interested in military applications of electroencephalograms for "mind reading" and such. Certainly there are some applications for lie detection such as the P300, but one has to be very careful about the structure of the interview so as to not attempt to extract non-meaningful information from an evoked potential. My concern is that a whole bunch of additional DARPA type money will suddenly be thrown at the problem and claims will be made that will further impinge upon individual rights and freedoms waaaaaay before even the science is understood (not that understanding science is an excuse to stomp on civil liberties).
My more immediate concern is of the claims that are being made. The fundamental problem of course is developing a global signature for mind reading that is clean enough to derive robust statistics, keeping in mind that individuals brains are far from uniform in their anatomy, physiology or wiring. Work I performed more than a decade ago revealed similar cortical mapping patterns on subjects who performed tasks and then imagined performing those tasks. Certainly it is possible to determine volitional movements based upon our knowledge of neuroanatomy and statistical averages of wiring, but predicting "intentions" is a whole other ball game. The article is light on details and I've tried a search on more in-depth content, but if they are labeling "intentions" as complex behaviors, my eyebrows will be raised. For instance, determining which of two buttons to press invokes a whole series of kinesthetic volitional programming that should be able to be determined by mapping pre-motor cortex. However, if "intentions" are whether or not to engage in complex behaviors are what they are talking about, there is much more complex circuitry to consider including the possibility of imagery or imagining an action versus actually volitionally engaging in that activity.
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researchers at Berlin's Bernstein Center for Computational Neuroscience claim they have now, for the first time, identified people's decisions about how they would later do a high-level mental activity _ in this case, adding versus subtracting."
A big portion of the work of prosecution in this country is spent proving intent. For example, the funny-looking guy that hangs out at the playground. Is he a creep, or is he just a birdwatcher? Obviously, a scanning device would figure that out pretty quick.
(... And I guarantee you that's the same kind of argument they'll make when pushing this thing, too. Because it's all about protecting the children. even at the expense of your fourth amendment rights.)
The theory of relativity doesn't work right in Arkansas.
You mean like what Tom Cruise did 5 years ago?
Virtual Betting on Facebook for non-geeks.
...intend on welcoming our mind-reading overlords (as they well know).
Just because I like variety in my life, I use an external randomizer (flip a coin, roll a die) to decide lots of things...do I go down 10th Street or 9th Street?
I'm now seeing that this was a very wise decision....
I do a lot of sub-optimal things, but at least I'm not predicatable
Truly you have a dizzying intellect.
Adding and subtracting is "high-level" intellectual activity, now?
Be afraid. Be very afraid.
Paleotechnologist and connoisseur of pretty shiny things.
... can they also predict dupes?
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"If you knew which thought signatures to look for, you could theoretically predict in more detail what people were going to do in the future," said Haynes.
Which isn't a million miles from... "we observed that just before our participant scratched their nose they raised thier hand". Using this observation we were able to predict when participants were about to scratch thier nose. And did so with an accuracy rate of 70%."
Don't get me wrong - I think this research is very interesting - but a little over egged at this moment in time.
Sheesh, I can tell you that... they ain't gonna buy a PS3.
As usual, the linked artice is sparse on actual details. Here's a link to the actual article in Current Biology:
s tract?uid=PIIS0960982206026583&highlight=haynes
http://www.current-biology.com/content/article/ab
The full text requires a subscription, but I've pasted the abstract below:
Reading Hidden Intentions in the Human Brain
When humans are engaged in goal-related processing, activity in prefrontal cortex is increased [1, 2]. However, it has remained unclear whether this prefrontal activity encodes a subject's current intention [3]. Instead, increased levels of activity could reflect preparation of motor responses [4, 5], holding in mind a set of potential choices [6], tracking the memory of previous responses [7], or general processes related to establishing a new task set. Here we study subjects who freely decided which of two tasks to perform and covertly held onto an intention during a variable delay. Only after this delay did they perform the chosen task and indicate which task they had prepared. We demonstrate that during the delay, it is possible to decode from activity in medial and lateral regions of prefrontal cortex which of two tasks the subjects were covertly intending to perform. This suggests that covert goals can be represented by distributed patterns of activity in the prefrontal cortex, thereby providing a potential neural substrate for prospective memory [8, 9, 10]. During task execution, most information could be decoded from a more posterior region of prefrontal cortex, suggesting that different brain regions encode goals during task preparation and task execution. Decoding of intentions was most robust from the medial prefrontal cortex, which is consistent with a specific role of this region when subjects reflect on their own mental states.
Also, the final paragraph from the conclusion, which discusses where they'd like to go with this in the future:
Taken together, our results extend previous studies on the processing of goals in prefrontal cortex in several important ways. They reveal for the first time that spatial response patterns in medial and lateral prefrontal cortex encode a subject's covert intentions in a highly specific fashion. They also demonstrate a functional separation in medial prefrontal cortex, where more anterior regions encode the intention prior to its execution and more posterior regions encode the intention during task execution. These findings have important implications not only for the neural models of executive control, but also for technical and clinical applications, such as the further development of brain-computer interfaces, that might now be able to decode intentions that go beyond simple movements and extend to high-level cognitive processes.