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Descripción
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| Abstract It goes without saying that in science, experiments are essential; hypothesis need to be contrasted against empirical results, in order to build scientific theories. In a system of overwhelming complexity like the brain, it is very likely that hidden variables, unknown by the experimentalist are interacting with those few elements of which the values are expected and can be validated or rejected in the laboratory. Thus, at the end of the day, the experimentalist is refuting or validating models that are somehow prisoner of the lack of knowledge about the structure of the system. The global picture is missing, the key is to reveal the structure which must be found not in the objects, but in the relationships between the objects -morphisms. How components at the same level interact (objects in the category of neurons) and how superior levels constrain those levels below and emerge from those above is tackled here with a mathematical outlook. The mathematical theory of categories is proposed as a valid foundational framework for modeling in brain sciences. | |
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Internacional
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Si |
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DOI
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Edición del Libro
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0 |
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Editorial del Libro
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Springer |
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ISBN
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978-1-4614-0163-6 |
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Serie
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Título del Libro
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From Brains to Systems: Brain-Inspired Cognitive Systems 2010. |
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Desde página
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320 |
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Hasta página
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339 |