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Titlebook: Mathematical Approaches to Biological Systems; Networks, Oscillatio Toru Ohira,Tohru Uzawa Book 2015 Springer Japan 2015 Biological network

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發(fā)表于 2025-3-21 20:09:05 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mathematical Approaches to Biological Systems
副標題Networks, Oscillatio
編輯Toru Ohira,Tohru Uzawa
視頻videohttp://file.papertrans.cn/627/626002/626002.mp4
概述Represents the forefront of mathematical approaches on biological systems relating to networks, oscillations, and collective motions.Brings together various research themes without restricting them to
圖書封面Titlebook: Mathematical Approaches to Biological Systems; Networks, Oscillatio Toru Ohira,Tohru Uzawa Book 2015 Springer Japan 2015 Biological network
描述.This book presents the most recent mathematical approaches to the growing research area of networks, oscillations, and collective motions in the context of biological systems. Bringing together the results of multiple studies of different biological systems, this book sheds light on the relations among these research themes. .Included in this book are the following topics: feedback systems with time delay and threshold of sensing (dead zone), robustness of biological networks from the point of view of dynamical systems, the hardware-oriented neuron modeling approach, a universal mechanism governing the entrainment limit under weak forcing, the robustness mechanism of open complex systems, situation-dependent switching of the cues primarily relied on by foraging ants, and group chase and escape..Research on different biological systems is presented together, not separated by specializations or by model systems. Therefore, the book provides diverse perspectives at the forefront of current mathematical research on biological systems, especially focused on networks, oscillations, and collective motions..This work is aimed at advanced undergraduate, graduate, and postdoctoral students,
出版日期Book 2015
關(guān)鍵詞Biological network; Biological oscillation; Collective motion; Mathematical model; Neural network; Neural
版次1
doihttps://doi.org/10.1007/978-4-431-55444-8
isbn_softcover978-4-431-56238-2
isbn_ebook978-4-431-55444-8
copyrightSpringer Japan 2015
The information of publication is updating

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Hardware-Oriented Neuron Modeling Approach by Reconfigurable Asynchronous Cellar Automaton, approach: a reconfigurable asynchronous cellar automaton approach. In this chapter, neuron-like bifurcations of the asynchronous cellar automaton neuron model are analyzed and an on-chip learning algorithm (on-chip dynamic circuit reconfiguration algorithm) for reproducing biological neuron’s behaviors is demonstrated.
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Book 2015ext of biological systems. Bringing together the results of multiple studies of different biological systems, this book sheds light on the relations among these research themes. .Included in this book are the following topics: feedback systems with time delay and threshold of sensing (dead zone), ro
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Dynamical Robustness of Complex Biological Networks, framework, we examine the dynamical robustness of neuronal firing activity in networks of synaptically coupled Morris-Lecar neuron models. Our analyses suggest that a consideration of both network structure and dynamics is crucial in elucidating biological robustness.
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發(fā)表于 2025-3-23 09:25:24 | 只看該作者
A Universal Mechanism of Determining the Robustness of Evolving Systems,based on a linear-stability analysis, the condition for our system to grow is more moderate. The mechanism of this novel universal transition is described in detail. The characteristics of the model, such as lifetime distribution of the elements, and its relevance to the previous works such as SOC models are also discussed.
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