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Titlebook: Bio-inspired Modeling of Cognitive Tasks; Second International José Mira,José R. álvarez Conference proceedings 2007 Springer-Verlag Berlin

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發(fā)表于 2025-3-26 21:52:16 | 只看該作者
A Perspective on Japan in the New Century, model, we take into account intrinsic plasticity, which is the property of biological neurons that consists in the shifting of the action potential threshold according to experience. In accordance to the computational model, a therapeutic technique for diminishing limbs spasticity is proposed and d
32#
發(fā)表于 2025-3-27 01:47:28 | 只看該作者
https://doi.org/10.1057/9780230593954und and speech as possible. Many knowledge-extraction tasks from speech and voice share well-known procedures at the algorithmic level under the point of view of bio-inspiration. The same resources employed to decode speech phones may be used in the characterization of the speaker (gender, age, spea
33#
發(fā)表于 2025-3-27 07:02:08 | 只看該作者
34#
發(fā)表于 2025-3-27 12:42:15 | 只看該作者
Between Idealism and Pragmatism,etween neurons. The ability of cell division allows us to obtain an exponential amount of cells in linear time and to design cellular solutions to .-complete problems in polynomial time. In this paper we present a solution to the Subset Sum problem via a family of such devices. This is the first sol
35#
發(fā)表于 2025-3-27 17:40:36 | 只看該作者
36#
發(fā)表于 2025-3-27 19:08:09 | 只看該作者
37#
發(fā)表于 2025-3-28 01:52:01 | 只看該作者
https://doi.org/10.1007/978-3-540-73053-8Bayesian network; artificial neural networks; autonom; bio-inspired computing; brain-like computing; cogn
38#
發(fā)表于 2025-3-28 02:32:25 | 只看該作者
978-3-540-73052-1Springer-Verlag Berlin Heidelberg 2007
39#
發(fā)表于 2025-3-28 07:56:24 | 只看該作者
40#
發(fā)表于 2025-3-28 14:20:11 | 只看該作者
A Computational Structure for Generalized Visual Space-Time Chromatic Processing,e have learned recently that RFs are spatiotemporal entities and this characterization is crucial in understanding and modelling circuits in early visual processing ([1]). We present a generalization of the layered computation concept to describe visual information processing in the joint space-time domain.
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