About Me: I am currently a Computer Science major at San Jose State University.

Sunday, December 15, 2013

Scientific Computing: Simulating the Human Brain



The field of Computer Science is an extremely diverse field, and can be applied to many different areas of study. In addition to writing programs that we use in our day to day lives, computer scientists have developed extremely specialized programs that help researchers make complex calculations, help extrapolate data, and model complex systems.
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One such system, which has proven to be extremely difficult to model even to this day, is the human brain. Many teams have tried tackling this challenge, like IBM's Watson's ability to search its terabytes of memory for a solution, but it seems that the Computational Neuroscience Research Group of the University of Waterloo went a step further. They attempted to create a computer system that mimics how the human brain solves problems. SPAUN, which stands for Semantic Pointer Architecture: Unified Network, is a computer that contains over 2.3 million simulated neurons. Those neurons are patterned into facsimiles of different parts of the human brain, like the prefrontal cortex (memory) and the basal ganglia and the thalamus (motor control). When tasked with remembering a sequence of numbers and writing them down, SPAUN had a success rate of 94%. While there are many computers that can do these tasked more efficiently than SPAUN, it is the fact that each of the simulated neurons is communicating in the exact way that real neurons do.
While this sounds like a very stellar achievement, we must keep in mind that we are still years and years away from anything that completely simulates the human brain. Even SPAUN is a very limited machine. The 2.3 million neuron count is puny compared to Watson’s, and each task that SPAUN is given takes over two hours to complete. And if that wasn't enough, SPAUN is not actually capable of learning or adapting. Its neurons are hard-wired and incapable of dynamic modifications of the kind that real neurons. All that said, this is still am impressive feat, and I
am very interested in the future of this project.

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2 comments:

  1. This is an interesting and well written post. I knew very little on the modeling of the brain other than that it was and has been attempted in the hopes to produce better artificial intelligence, and to understand how our own brains work. SPAUN is interesting, and I am glad you chose to reference this for further reading. Thanks, Matt, and Merry Christmas.

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  2. Cool post Matthew. I had never heard of either of those Computers being made. SPAUN sounds like really cool topic, and at the same time kinda scary. What if it were to work at an 100% rate? Should we prepare for the terminators?

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