Titlebook: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence; 6th International Wo José Mira,Alberto Prieto Conference

緩和

Neuronal Models with Current InputsWe propose a novel approach based upon a superposition of ‘colored’ and ‘white’ noise to approximate current inputs in neural models. Numerical results show that the novel approach substantially improves the approximation within widely, physiologically reasonable regions of the rising time of α-wave inputs.

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Time-Dispersive Effects in the J. Gonzalo’s Research on Cerebral DynamicsIn the present work, certain aspects, restricted to the visual system, of the J. Gonzalo’s research, are interpreted according to a simple linear theory of time-dispersion applied to the dynamic cerebral system, characterized by its excitability and its reaction velocity.

加劇

變色龍

D. Bernard,A. Tossa,R. Emilion,S. K. Iyericz. These expressions even though information preserving may have a high degree of complexity impairing their understandability. The paper discloses a strategy which combines classical logic with the logic of Lukasiewicz to decompose a complex rule into a set of simpler rules that cover the former.

Lime石灰

https://doi.org/10.1007/3-540-45720-8Connectionism; Simulation; algorithmic learning; artificial neural networks; biocomputing; brain-like com

感激小女

978-3-540-42235-8Springer-Verlag Berlin Heidelberg 2001

Conquest

José Mira,Alberto PrietoIncludes supplementary material:

不如樂死去

專心

rectocele