Mind Blogs 1.0
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The book is written in a unique format — it is just like a blog, only in the shape of a physical book. It even has newspaper ads before a few articles to create the feeling of a blog.
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The articles, too, are written like blog posts — short and crisp. I would recommend this book to all those who are looking for a light but thoroughly enjoyable and soulful read. Priya Iyer is a content developer and editor who loves reading and reviewing books on her blog and for Book Reviews. And online book reviewers are loving it too.
Freelance journalist and online book reviewer Shail Raghuvanshi from Chennai has reviewed Mind Blogs 1. Calling it a great way to bring blogs to books, she says there were many stories […]. Written succinctly by Sandhya Iyengar, it does reflect the ethos of the book. To read it all, click on the image. Happy reading!
Related Articles. Press coverage. Tin foil hat by Kley Gilbuena. Time to grab the aluminum foil and start thinking about stylish ways of wrapping up your head, people.
In my mind pun intended nothing says the future is here like direct brain-to-brain communication. Footnote: This is cool. Oh silly Dave. Footnote: Video of Brain Decoding. The challenge in developing such technology isn't related to sending the thought, but the complications involved in reading the brain. Well, Horikawa, a scientist from Japan, and friends, also scientists from Japan, showed that it can be done.
While the article is a bit old, published on May 3, , I thought it was a fascinating read and worthy of a little more publicity.
The Experiment. In order to understand what these scientists did, you have to understand that, to a degree, the idea that our thoughts are patterns of brain activation. The first part of the experiment involved putting a patient inside of an fMRI machine and then letting them nod off.
An fMRI machine monitors the consumption of oxygen. When you look at a brain with one of these machines, you can see which parts of the brain are heavily active. Active brain cells use up more oxygen.
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The EEG listens to brain activity. Imagine all the neurons in the brain emitting a small signal when they fire, well using an EEG you can tell when a person is sleeping, not REM but Stage 1 and 2 , by listening to how their brains hum. Footnote: Experimental Protocol. The next part of the experiment is cool because the scientists were elegant in the way that they thought about. Rather than directly trying to match up active parts of the brain from the fMRI data, with any thought, the scientists focused on visual thoughts.
The scientists grouped the visual thoughts, or images that people saw in their minds eye. Then they categorized them.go here
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Street is broad enough, but houses would then be categorized as buildings. Training the algorithm. They used a self-directed learning algorithm, or in equally complex terms, intelligent programmatic instructions. The group worked with the theory that seeing an object and dreaming about an object involves similar brain activity.
Therefore, to further train the computers, the group took images of objects and showed them to the subjects and then recorded the patterns of brain activation.
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The computer algorithm found the similarities between the dream data and the image-generated data. The computer was then further trained to distinguish brain activation of two different images, they use the example of male and car. It was a forced test. The scientists also tried to determine which regions of the brain would give the most accurate object information and, as they suspected, the most complicated image processing parts of the brain were the most accurate.
Your brain processes images at different levels, for example, a face could be described simply using dark and light patches, or with more accuracy with different lines, and then with even higher accuracy using facial features like eyes, nose etc. Level 1: Dave looks like three dark splotches on a pasty typical-no-sun-New Jersey-winter skin tone.
Level 2: Dave has a squarish face shape, large ovals on the top of his face, and a thin line on the bottom of his face. Level 3: Dave has a square jaw, Persian eyes, and thin lips. In the end the scientists were able to train the decoders to analyze the data presented by the fMRI from a high level image processing brain region, and yes, predict what the subjects were seeing in their dreams.
It indicates the potential advances in technology associated with scientific studies, especially those involving the complex and confusing structure that exists in our heads. Now, there are a lot of limits in this study.