Neural Networks and the human brain

Intelligence II: Prediction (04/03/09)
Document Sample Understanding the world through abstract neurological representations (as discussed in the previous post) is a wonderfully flexible adaptive strategy which makes all kinds of learning possible. However, in order for the strategy to be viable it must somehow produce information that is accessible in real time, or at least at biologically relevant speeds. According to Christof Koch, experimental psychology suggests that the amount of time necessary to consciously resolve a visual percept is on the order of a quarter-second (the pre-conscious processing of intelligence begins to react on much shorter time frames, and lies behind such concepts as "subliminal marketing, " but is also by definition non-conscious). How then can the representational platform of intelligence make it possible for humans to execute cognitively complex tasks in real time, like hunting a deer, driving a car, or performing Dvorák's magnificent cello concerto?
The answer has to do with architecture. The reason intelligence is able to effect conscious control of events on short time scales is that it confers the ability to plan ahead, thus overcoming its own inherent neurobiological speed limits, by making predictions of future events based on information already received. Very roughly

Source: Applied Human Nature:

American Society of Civil Engineers Artificial Neural Networks in Water Supply Engineering
Book (American Society of Civil Engineers)

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Erich Jarvis (Duke/HHMI) Part 2: Motor theory of vocal learning origin
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2010-08-19 09:27:17 by YouUngratefulTurds

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Three-Photon Technology Improves Brain Imaging  — Cornell University The Cornell Daily Sun
Understanding how brain works will have huge impact in science and medicine,” Horton said. “But we can also use multiphoton imaging to detect cancer cells in living animals, which is another research direction of our ... Xu envisions the technology to ...

A neural basis for benefits of meditation  — Medical Xpress
The proposal, based on published experimental results and a validated computer simulation of neural networks, derives its mechanistic framework from the intimate connection in mindfulness between mind and body, since standardized mindfulness meditation ...

The MIT Press Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks
Book (The MIT Press)
WIT Press / Computational Mechanics Soft Computing in Water Resources Engineering: Artificial Neural Networks, Fuzzy Logic and Genetic Algorithms
Book (WIT Press / Computational Mechanics)

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