Abstract
It appears that for biological creatures, the external world may be internalized in terms of intrinsic geometric representations. We can formalize the relationships between the physical signals of external objects and the internal signals of a biological creature by using extrinsic vectors to represent those signals coming from the world and intrinsic vectors to represent those signals originating in the internal world. We can also assume that external and internal worlds employ different reference coordinate systems.
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Bayro-Corrochano, E. (2019). Geometric Neurocomputing. In: Geometric Algebra Applications Vol. I. Springer, Cham. https://doi.org/10.1007/978-3-319-74830-6_13
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DOI: https://doi.org/10.1007/978-3-319-74830-6_13
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74828-3
Online ISBN: 978-3-319-74830-6
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