Elon Musk's company Neuralink has recently announced that it has implanted a chip in a human brain. The press has many an untrue headline about this, such as headlines talking about mind-reading brain chips. No one has done any such thing as reading thoughts by scanning brains.
You might expect to get the real scoop on this topic by reading an article on it in the prestigious journal Nature. But a recent article in that journal misinforms us on this topic. The article is entitled "Elon Musk’s Neuralink brain chip: what scientists think of first human trial." We read this:
"Neuroscientists have long argued that data from individual neurons are needed for sophisticated thought-decoding. But research indicates that averaged signals can allow decoding of complex cognitive processes, such as inner speech."
No, that isn't true. It is impossible to figure out what a person is thinking by scanning his brain signals or brain states. The quote above has a link to the paper "A high-performance neuroprosthesis for speech decoding and avatar control." The paper describes a device that helps decode what a paralyzed woman is trying to say. But that paper states this:
"For speech decoding, the participant was presented with a sentence as a text prompt on a screen and was instructed to silently attempt to say the sentence after a visual go cue. Specifically, she attempted to silently speak the sentence without vocalizing any sounds. This differs from imagined or inner speech because she was trying to engage her articulators to the best of her ability, although substantial orofacial weakness prevents her from naturally mouthing words."
The paper describes a woman paralyzed so badly that she is unable to make intelligible speech. What the device was doing was responding to muscle signals that occur when a person is trying to speak. Picking up such signals is not an example of reading thoughts from brain signals. As the quote above confesses, it is not an example of "inner speech."
The Nature article has misled us by claiming that some decoding of brain signals can "allow decoding of complex cognitive processes, such as inner speech." The first paper it cites in support of this claim denies that claim, as the quote above shows.
Besides having a link to the paper above, the Nature quote above also had a reference to the paper "Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis." That paper is also a paper that relies on attempted speech in a severely paralyzed person, rather than pure thought that makes no attempt at muscle movement. We read this in the paper:
"Here, we demonstrate that real-time decoding of silent attempts to say 26 alphabetic code words from the NATO phonetic alphabet can enable highly accurate and rapid spelling in a clinical-trial participant (ClinicalTrials.gov; NCT03698149) with paralysis and anarthria. During training sessions, we cued the participant to attempt to produce individual code words and a hand-motor movement, and we used the simultaneously recorded cortical activity from an implanted 128-channel electrocorticography (ECoG) array to train classification and detection models. After training, the participant performed spelling tasks in which he spelled out sentences in real time with a 1152-word vocabulary using attempts to silently say the corresponding alphabetic code words. A beam-search algorithm used predicted code-word probabilities from a classification model to find the most likely sentence given the neural activity while automatically inserting spaces between decoded words. To initiate spelling, the participant silently attempted to speak, and a speech-detection model identified this start signal directly from ECoG activity.".
The second paper cited by the Nature article also gives no support for the article's claim that some decoding of brain signals can "allow decoding of complex cognitive processes, such as inner speech." To the contrary, what we have is another case of picking up attempted muscle movements.
The ideologically neutral diagram below may help you understand the situation better:
What the two papers above are doing are picking up brain signals from the motor cortex. Such papers do nothing to show that the Mind Core (thought, recall, will, imagination, self-hood, etc.) comes from the brain. Virtually no one disputes that there can be increased activity in the motor cortex area of the brain when someone is engaging in muscle activity or attempting to move his muscles.
Real thought-reading using neural devices would require picking up something when no one was attempting to move their muscles. Such a thing has never been done. There have been some misleading "mashup"-technique studies that have included attempts to read brain signals and also the use of computer databases and AI (artificial intelligence). Such a mixture can be an extremely confusing "smoke and mirrors" affair in which results coming not from thought-reading by brain scans are mixed up with some brain scanning activity, with the results misleadingly passed off as some breakthrough in "neural mind reading." For a discussion of some of the resulting misleading studies see my two posts below:
Misleading Tricks of the Latest Claim of Mind-Reading by Brain Scans
- The very massive current occurrence of misleading university press releases, very often announcing new research and making claims about such research not matching anything shown by the research (with the press release claims very often not matching anything even claimed in the corresponding scientific paper).
- The extensive use of deceptive brain scan visuals, which "lie with colors" by using misleading coloring effects in which very tiny brain activity differences are depicted in bright colors, leading people to think that particular regions of the brain "light up" and are much more active during certain cognitive activities, when in reality the difference is only about 1 part in 200 (the type of difference we might expect from random fluctuations, even if brains do not produce minds and do not store memories).
- The massive occurrence in scientific papers of inaccurate citations, claiming that some paper showed or supported some claim that it never showed or supported, typically made by scientists who never read the paper they are citing (a scientific paper estimated that only 20% of people citing a scientific paper actually read the paper they are citing).
- Inaccurate descriptions of what was stated by people who were brain zapped to try to produce an out-of-body experience, in which the subjects hesitating and ambiguous responses (often in response to "leading" questions) are described as reports of an out-of-body experience, when such a report was not given by the subject.
- Deceptive papers in which purely software implementations are passed off as things that help to explain human memory, by means of outrageous language abuses in which sections or layers of software code are improperly given anatomical names corresponding to parts of the human brain, and in which tricky equivocation occurs involving mixing up the human definition of memory (involving mental experiences) and the computer definition of memory (not involving mental experiences).
- A very large number of misstatements and misrepresentations by psychiatrists, very carefully documented in Peter Gøtzsche’s "Critical Psychiatry Textbook" that can be read here, with the misstatements often occurring to try to bolster weakly supported or unfounded claims that various types of mental illness are caused by brain states rather than life histories or socioeconomic conditions or personal life conditions.
- The massive current occurrence of both misleading titles in scientific papers and misleading claims in scientific paper abstracts, with paper titles very commonly making claims not matching anything established by the research in the main body of the paper, and abstracts also frequently claiming the research showed something it failed to show.
- Extremely misleading statements about the quality of evidence for spiritual and psychical phenomena that tend to contradict neuroscientist dogmas, typically made by people who have never seriously studied such evidence, often claiming very large bodies of solid evidence gathered over decades or centuries are "no evidence," combined with misleading stereotypical, mudslinging or gaslighting characterizations of the people who have reported such phenomena.
- Many decades of poor research practices in neuroscience, such as the use of way-too-small sample sizes of fewer than ten subjects, failure to follow blinding protocols, lack of pre-registration, and the use of an unreliable "see-whatever-you-want-to-see" method for trying to measure animal recollection ("freezing behavior" estimation) rather than the reliable measurement techniques discussed here.
- The repetition by neuroscientists of utterly absurd claims that it takes hours for a human to form a long-lasting memory, claims that are contrary to every person's experience, which is that permanent memories can form instantly, with the claims being made because the people making such claims want us to believe that memories are formed through synapse strengthening known to take at least hours.
- The frequent appearance of highly speculative "brain functional map" charts suggesting some knowledge that particular parts of the brain produce cognitive functions, suggestions that are unwarranted (see here for evidence against one of the standard elements of such charts).
- The extremely severe lie by materialists that a split-brain operation (severing the nerve fibers connecting the two hemispheres of the brain) results in two separate human minds, contrary to the facts that no such thing occurs, and that such an operation leaves people with a single self.
- The use in neuroscience experiments of tortuous extremely convoluted analysis pathways in which brain scan data or biological data is passed through a series of programming iterations, often involving poorly documented gobbledygook code that no one but the original programmer could have ever understood, with the effect of the rigmarole iterations being some "black box" manipulation that not even the original programmer can now understand, and the resulting mess (perhaps having some desired pattern) being passed off as some enhancement of the original data, even though there is every season to suspect the result is a corruption, distortion or contortion of the original data.
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