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Posted by on Nov 30, 2012 in Science |

Spaun: create more complex brain simulation to date

What we see in the pictures is the way it works Spaun, the more complex simulated ever developed . A group of Canadian scientists has been able to develop a program capable of recognizing items, learn and remember even a basic level, getting to spend several intelligence tests low.

Chris Eliasmith, scientist at the University of Waterloo and head of development of Spaun, is who has spent many years thinking about how to build a “brain” as well. Today is a reality and the researcher has announced it is about to publish a book, How To Build A Brain, with instructions describing the architecture of the gray matter and how they act different components. According to researcher:

I thought the only way that people thought I was showing my conclusions, so what we have developed is the largest in the world simulation of a functioning brain.

To give us an idea, Spaun can recognize numbers, remember lists and even write them down. It is also able to pass some basic tests of intelligence. According to scientists, there are currently several projects large brain models in the world, but none is able to see, remember or control limbs. Eliasmith account that there is no current model of large-scale brain that actually does something new.

His team took as its starting point a different approach, using a program that simulates what happens inside the brain, something like the way in which the aircraft simulators mimic the flight.

The name given to the simulation comes from Semantic Pointer Unified Network Architecture. The program has 2.5 million simulated neurons organized into subsystems in order to resemble the prefrontal cortex, thalamus and brain cognitive machinery. Also has a simulated eye can “see” with an arm capable of drawing.

A simplified model of the brain that has taken a year to build and reflects many aspects of neurophysiological and psychological behavior. Not only that, the program ensures Eliasmith biological function simulates real neurons, including cells generated voltages and signals that are compressed around the brain:

It’s all in a machine, we are actually simulating all voltages and currents to the level that can be measured in real cells. No Spaun connections that are not in the brain. It can take up to eight different types of tasks involving the recognition, remember or write numbers.

An incredible achievement because Spaun can go from one task to another in the same way as a human brain can recognize an object at a time and store a list of numbers in the next action. The researchers explain that the simulated brain remember best numbers beginning and end of a list of those in between, as well as humans. You can learn patterns like never seen before and use that knowledge to find the best answer to a question:

So you learn, but not at the level of the real. Spaun is not as customizable as a real brain, since the model is not fully able to learn new tasks. In addition, the simulated eye is fixed so it is unable to control alone.

The future development after Spaun is currently undergoing the Eliasmith ongoing work with groups in the U.S. and UK. An effort to try to accelerate and expand their work and behavior. The idea is that the brain stimulation may someday be used to better understand and model neurological disorders and diseases together with the improvement in the development of artificial intelligence.

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