Computation and cognition: toward a foundation for cognitive science
Computation and cognition: toward a foundation for cognitive science
Mind design
What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
Strategies for analyzing complex organization in the nervous system: I.: lesion experiments
Computational neuroscience
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Conceptual Coordination: How the Mind Orders Experience in Time
Conceptual Coordination: How the Mind Orders Experience in Time
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Autonomous robotic systems
Intelligence Without Reason
Embodiments of Mind
Brain Organization and Computation
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Revisiting Algorithmic Lateral Inhibition and Accumulative Computation
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Neural computation with cellular cultures
Natural Computing: an international journal
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Virtually from its origins, with Alan Turing and W.S. McCulloch's formulations, the use of the computational paradigm (CP) as a conceptual and theoretical framework to help to explain Neurophysiology and Cognition has aroused controversy. Some of the objections raised, relating to its constitutive and formal limitations, still prevail. We believe that others stem from the assumption that its objectives are different from those of a methodological approach to the problem of neural modeling.In this work we start from the hypothesis that it is useful to look at the neuronal circuits assuming that they are the neurophysiological support of a calculus, whose full description requires considering, at least, three levels of organization: circuits and mechanisms, neurophysiological symbols and knowledge and emerging behavior. We also stress the figure of the external observer and the need to distinguish between two description domains in each level: the level's own domain and the domain of the external observer. Finally, we describe a procedure for using the computational paradigm qualitatively in order to try to do "reverse neurophysiology", drawing on two abstraction processes that link the calculus at signal level with cognition. We end by considering the real limitations (constitutive) and apparent (wrong objectives) of the CP and its integrating and non-exclusive nature.