Abstract
This paper focuses on a cuneate-based network (CBN), a connectionist model of the cuneate nucleus that shows spatial and temporal filtering mechanisms. The circuitry underlying these mechanisms were analyzed in a previous study by means of a realistic computational model [9, [10]] of the cuneate. In that study we have used experimental data (intracellular and extracellular recordings) obtained in cat in vivo [2, [3]] to guide and test the model. The CBN is a high-level description of the realistic model that allows to focus on the functional features and hide biological details. To demonstrate the CBN capabilities we have applied it to solve a filtering problem in mobile robotics.
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Sánchez, E., Mucientes, M., Barro, S. (2001). A Cuneate-Based Network and Its Application as a Spatio-Temporal Filter in Mobile Robotics. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_50
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DOI: https://doi.org/10.1007/3-540-45723-2_50
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