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Titlebook: Natural Computing; 2nd International Wo Y. Suzuki,M. Hagiya,A. Adamatzky Conference proceedings 2009 Springer-Verlag Tokyo 2009 Alignment.A

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發(fā)表于 2025-3-25 04:26:13 | 只看該作者
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發(fā)表于 2025-3-25 09:34:25 | 只看該作者
Computing with Feedforward Networks of Artificial Biochemical Neuronsconsidered as a variant of the artificial neurons used in neural networks. In this way the artificial neural network metaphor can be used to model and study intracellular signaling networks. The question what types of computations can occur in biological intracellular signaling networks leads to the
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發(fā)表于 2025-3-25 13:38:16 | 只看該作者
Information Processing with Structured Chemical Excitable Medium the number of pulses or in the sequences of times separating subsequent excitations. Information is processed as the result of two major effects: interactions between pulses and interactions between a pulse and the environment. The properties of excitable medium provide us with a number of features
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發(fā)表于 2025-3-25 19:00:05 | 只看該作者
Wholeness and Information Processing in Biological Networks: An Algebraic Study of Network Motifs one hand, they are materializations of a kind of wholeness to have biological functions on the other hand. We formalize the wholeness by the notion of sheaf. We also formalize a feature of information processing by considering an internal structure of nodes in terms of their information processing
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發(fā)表于 2025-3-25 22:14:02 | 只看該作者
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發(fā)表于 2025-3-26 01:25:40 | 只看該作者
On Detection and Isolation of Defective Cells in Self-Timed Cellular Automatas paper reviews two approaches to defect-tolerance for nanocomputers that are based on self-timed cellular automata, a type of asynchronous cellular automaton, where the cells’ defects are assumed to be of the stuck-at fault type. One approach for detecting and isolating defective components (cells)
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發(fā)表于 2025-3-26 08:03:40 | 只看該作者
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發(fā)表于 2025-3-26 10:33:40 | 只看該作者
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發(fā)表于 2025-3-26 13:25:23 | 只看該作者
Exploiting Natural Asynchrony and Local Knowledge within Systemic Computation to Enable Generic Neurginal concept because of the limitations of the classical computation paradigm. To address this, systemic computation (SC), a model of interacting systems with natural characteristics, followed by a modelling platform with a bio-inspired system implementation were introduced. In this paper, we inves
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發(fā)表于 2025-3-26 20:39:02 | 只看該作者
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