Abstract
It is our personal belief that we need a more reflexive attitude reconsidering where the problems are, what are the proper questions, what formal tools we need and how to use these tools to solve the questions in the way to attain a more thorough understanding of neural computation in the brain. In this paper we comment on some points that could be of interest in the biological perspective of neural computation. First some methodological remarks as well a theoretical frame of reference is metioned. Then, some of the anatomical and physiological basis are reported and finally, a frame for cooperative computation is introduced. Here neural nets are considered as "source of inspiration" to formulate inference networks, where in addition to analogical and logical calculus, a more general concurrent computation is permited. In this way, classical connectionisme (with the pass of numerical values) and symbolic computation (with the pass of messages and instructions) are integrated, and we can focus on the study of organizational principles more genuine of the neural tissue.
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Mira, J., Delgado, A.E. (1991). Always trying to write an equation for the brain. In: Prieto, A. (eds) Artificial Neural Networks. IWANN 1991. Lecture Notes in Computer Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035882
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DOI: https://doi.org/10.1007/BFb0035882
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