Intelligence without representation
Artificial Intelligence
An adaptive neural network: the cerebral cortex
An adaptive neural network: the cerebral cortex
Neural networks for consciousness
Neural Networks - 1997 special issue on neural networks for consciousness
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Neural Networks - Special issue on organisation of computation in brain-like systems
A model of computation in neocortical architecture
Neural Networks - Special issue on organisation of computation in brain-like systems
Neurobiological Inspiration for the Architecture and Functioning of Cooperating Neural Networks
IWANN '96 Proceedings of the International Workshop on Artificial Neural Networks: From Natural to Artificial Neural Computation
Dynamic neural field with local inhibition
Biological Cybernetics
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Human communication emerges from cortical processing, known to be implemented on a regular repetitive neuronal substratum. The supposed genericity of cortical processing has elicited a series of modeling works in computational neuroscience that underline the information flows driven by the cortical circuitry. In the minimalist framework underlying the current theories for the embodiment of cognition, such a generic cortical processing is exploited for the coordination of poles of representation, as is reported in this paper for the case of visual attention. Interestingly, this case emphasizes how abstract internal referents are built to conform to memory requirements. This paper proposes that these referents are the basis for communication in humans, which is firstly a coordination and an attentional procedure with regard to their congeners.