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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Pitts, W.H. and McCulloch, W.S.: How we know universals: the perception of autitory and visual forms. Bulletin of Mathematical Biophysics, 9, (1947) 127–147
Arbib, M.: The Metaphorical Brain” J. Wiley (1972)
Pellionisz, A., Llinás, R.: Tensor network theory of the metaorganization of functional geometries in the CNS. Neuroscience 16, 2 (1985) 245–273
Somjen, G.: Sensory conding in the mamalian. NS. Plenum (1975)
Kuipers, B.J. Byun, Y.T.: A Robot Exploration and Mapping Strategy Based on Semantic Hierarchy of Spatial Representations. Robotics & Autonomous Syustems 8 (1991) 47–63
Braitemberg, V.: Vehicles: Experiments in Synthetic Psychology. MIT press. (1984)
Lozano-Pérez, T.: Automatic Planning of Manipulator Tranfer Movements. IEEE Trans. on System, Man and Cybernetics, (1988) 122–128
Borenstein, J., Koren, Y.: The vector field histogram-fast obstacle avoidance for mobile robots. IEEE Journal of Robotics and Automation Vol 7, No. 3, (1991) 278–288
Levitt, T.S., Lawton, D.T., Chelberg, D.M., Nelson, P.C.: Qualitative Navigation. Proc DARPA Image Understanding Workshop Los Altos. Morgan Kaufmann (1987) 447–465
Romo, J., de la Paz, F., Mira, J.: Incremental Building of a Model of Environment in the Context of the McCulloch-Craik's Functional Architecture for Mobile Robots. Tasks and Methods in Applied Artificial Intelligence. Springer (1998) 339–352
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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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