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Predicted fMRI images for celery and airplane show significant similarities with the observed images for each word. Red indicates areas of high activity, blue indicates low activity. Credit: Courtesy of Science

Predicted fMRI images for celery and airplane show significant similarities with the observed images for each word. Red indicates areas of high activity, blue indicates low activity. Credit: Courtesy of Science

For many years, scientists have been trying to find ways to decipher human thoughts. It took several algorithms and neuro-scans to get to the bottom of how the brain really works.

In their most recent study, a computer scientist, Tom Mitchell, and a cognitive neuroscientist, Marcel Just, both from Carnegie Mellon University, used fMRI data to develop a sophisticated computational models.

These models were designed to predict the brain's response in relation to concrete nouns, or things that we experience through our senses.

The researchers created models for 60 concrete nouns which have been taken fMRI activation patterns. These models were also used to analyze text corpus, a set of text containing a trillion words noting any relationship of each noun to a set of 25 verbs associated with sensory or motor functions.

Combining fMRI data and analysis of the text corpus, the computer was able to predict the brain activity pattern of thousands of other concrete nouns.

Using this method, the researchers have determined that using their computational model is significantly better than chance. An important implication to understanding brain-related diseases and memory losses.

Click here to read more about Brain Imaging and Computational Modeling, Mind Reading using fMRI

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6 Responses to “Predicting Your Thoughts: Brain Imaging and Numerical Modeling Show Proof”

  1. Pratt says:

    I’m a psychologist, and news like this always interest me. I like to thank you for such a wonderful post. With the increase use of technology in medical science many critical studies will solve very easily. And this one is just one more perfect example of it.

  2. Thomas says:

    Superb

  3. sridhar says:

    It is a very good article about predicting the brain’s response to the things we experience.this article gives a good knowledge about the brain.

  4. Ammu1 says:

    I like this article very nice. The information used here are very nice.

  5. very useful and informational article… it belongs to Artificial Intelligence. it makes me amazed about the growth of the science in Human interactions. it is awesome. it may help peoples to control of thinking good and bad things.

    thanks for sharing…

  6. smee says:

    I think this technology is very much similar to brain mapping.This will be helpful for Police for getting evidence from the culprit.Thank you for sharing this wonderful information…

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I am a computer programmer that loves technology, gadgets, making & learning new stuff. I love to read & basically to figure crap out.

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