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فن آوری مدرن به دانشمندان علوم اعصاب اجازه می دهد تا مغز انسان را ببینند ، اما آیا می تواند ذهن را بخواند؟ دانشمندان علوم اعصاب گرگ گگ و همكارانش كه با دستگاهي به نام الكترونسفالوگرام ، يا EEG و برخي از جادوگران محاسبات مسلح شده اند ، تلاش مي كنند تا در انديشه هاي موضوع مورد نظر قرار گيرند.

در DIY Neuroscience ، یک سری TED اصلی ، آزمایش های علوم اعصاب برش را با بودجه کف پوش تماشا کنید. اطلاعات بیشتر در اینجا ببینید:

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36 پاسخ به “این رایانه در حال یادگیری ذهن شما است | Neuroscience DIY ، یک سری TED”

  2. That is very interesting sir I perhaps we all can get together and change some knowledge however I am a Scientist and I am in the process of feeding information into the brain thank you

  15. This, if it avances, is a serious threat to the last vestiges of privacy. Do not try to say there are not some private businesses, corporations, government or those with an ulterior motive who wouldn't use this in the worst possible way. There is a reason we have the term thought police and it isn't because privacy is respected.

  18. It is not mind reading that you can retrieve stored thoughts that are tied to a signal, Mind reading means that you capture these thoughts yourself and and this is not what you deal with in your experiment.

    You are already having a computer recall a stored signal and not recognize it yourself.

  22. I have a suggestion your feeding her the images to fast. Give them 1 to 2 mins for each video if you don’t want to cheat next time. Like this experiment try doing it again.

  24. Invasive technology that will inevitably be abused.These researchers have an infuriating sense of entiltlement;they believe that they have privileged access to trespass into the private world of the human brain. We 're in danger!

  26. MIND CONTROL there is 20 years between the scientist discovery and the date they present for the public.
    The research on the MIND CONTROL is more important than IA or robotic for them!
    They work for devil and they try to control humanity.
    They can read the mind so they can send the kind of mind they want in a brain.

  30. Oh. the asian guy is a korean chirofractor. I learned chinese medicine history from him. And to study neuroscience should you speak with scientists. Dont make your way with outsiders if you want to find truth. Every study related with chirofractor failed in korea. A lot of korean physicists who study with chirofractor gave up before 1 year. Especially if you want to study neuroscince within other department, contact me. I will give my lecture note that blackhole and brain have same network processing. And I can give my lecture source too. This is the topic of neuroscience today.

  31. Scientists will need far more detailed brain measurement/diagnostic devices and more efficient machine-learning algorithms for thoughts to be interpreted properly by a computer. If a neuroimaging device could image and measure every single neuron, and every synapse, and measure the electrical signal at each of those in real-time, and all of that information was digitized and capable of being stored in RAM, then a sophisticated machine-learning program should be able to find way more useful data about our thoughts. There is another TED talk from Summer 2018 in which a woman, who is a neuroscientist and engineer, talks about her team's new brain-imaging device. This device uses red-wavelength laser light combined with holography to allow non-intrusive imaging and measurement of individual neurons and synapses in real-time, it has extreme spatial resolution and incredible speed of measurement. Very soon we'll be living in a world where people's entire central nervous systems can be imaged, measured, and interpreted in great detail, if her team's devices are paired with machine-learning algorithms and deep-learning neural networks. This is simultaneously incredibly promising for the advancement of neuroscience, psychiatry, psychology, psychopharmacology, medicine, and deeply frightening if one contemplates the less ethical applications of such technology.

  32. 1. add more test subjects
    2. add more difficulty images, eg. man faces vs woman faces (no house, no scenery)
    3. focus on occipital lobe, subject can only use one of his/her dominant eyes
    4. add splitting image (eg. solid orange colour) for 1-2 secs after each face pictures

  36. Fascinating… But for now they are categorising images into certain similar patterns like face, scenery and so on…… But what makes specificity of these images like types of faces or colour of faces or weather in scenery ?

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