Abstract
In this paper we present a constructive analytical process used to synthesize a net capable of transforming poor sensory data into a more rich internal representation invariant to rotations and local displacements. This model could be of interest both to understand the sensory code and the internalization of external geometries into the nervous system and to build internal models of the environment in autonomous and connectionistic robots.
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Álvarez, J.R., de la Paz, F., Mira, J. (1999). On virtual sensory coding: An analytical model of the endogenous representation. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100520
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DOI: https://doi.org/10.1007/BFb0100520
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