When Nerve Cells Detect Patterns for Acquired Knowledge

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The novel, brain-inspired computing system BrainScaleS at the Kirchhoff Institut
The novel, brain-inspired computing system BrainScaleS at the Kirchhoff Institute for Physics.
For observations based on sensory data, the human brain must constantly verify which "version" of reality underlies the perception. The answer is gleaned from probability distributions that are stored in the nerve cell network itself. The neurons are able to detect patterns that reflect acquired knowledge. Applying mathematical methods, physicists from Heidelberg University and researchers from Graz University of Technology have proven this phenomenon in their investigations. The current research results, published in the journal "Physical Review", are of major significance in developing new types of computer systems. One of the most important functions of our brain is to create an internal model of our environment. There are two categories of information available for this purpose - the acquired knowledge about known objects and a constant stream of sensory data that can be compared against and continually added to existing knowledge.
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