Capturing the dynamic of perception in fuzzy space time

Living systems are dynamic. They efficiently adapt to constantly changing conditions. The human nervous system perceives complex sensory input and produces an appropriate response. One goal of machine automation is to produce a similar adaptive response. Methods: We sought to represent the dynamic o...

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Bibliographische Detailangaben
Hauptverfasser:	Helgason, C.M., Jobe, T.H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automation disambiguation doubly extended magnitude Entropy Frequency fuzzy cortical engram Fuzzy sets Geometry Humans Nervous system Neurons non linear action perception Physiology Testing unit hypercube
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