享乐主义者 发表于 2025-3-30 11:05:06

Pattern Recognition Versus Synchronization: Synchronization and Phase LockingIn this chapter we continue the treatment of our model of Sect. 9.2 where we now study various aspects of synchronization. Our starting point is the set of equations (9.15), which we repeat.

definition 发表于 2025-3-30 13:10:52

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磨坊 发表于 2025-3-30 20:34:35

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Debark 发表于 2025-3-30 23:15:43

Linear Algebra and Matrix Analysis of neurons in the lamprey (Sect. 11.2), correlated movements between index fingers (Sect. 11.3) as a paradigm of limb coordination, and, more generally, quadruped motion (Sect. 11.4). In Sect. 11.5 we return to the neuronal level dealing with neuronal groups. As we will see, all these cases share a common mathematical ground.

LURE 发表于 2025-3-31 01:10:10

Phase Locking via Sinusoidal Couplings of neurons in the lamprey (Sect. 11.2), correlated movements between index fingers (Sect. 11.3) as a paradigm of limb coordination, and, more generally, quadruped motion (Sect. 11.4). In Sect. 11.5 we return to the neuronal level dealing with neuronal groups. As we will see, all these cases share a common mathematical ground.

吊胃口 发表于 2025-3-31 07:09:13

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keloid 发表于 2025-3-31 12:10:20

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巫婆 发表于 2025-3-31 16:55:38

The Single Neuroning behavior of the solutions, we will discuss the FitzHugh–Nagumo equations in Sect. 13.2 and then return in Sect. 13.3 to the Hodgkin–Huxley equations and especially to generalizations of them. The axon membrane is a lipid bilayer that may be considered as a thin insulating sheet that can store electric charges like a conventional capacitor.

讥笑 发表于 2025-3-31 19:58:12

Book 2008Latest editionby two extensive chapters that discuss the interplay between pattern recognition and synchronization. Further, to enhance the usefulness as textbook and for self-study, the detailed solutions for all 34 exercises throughout the text have been added..

上涨 发表于 2025-4-1 01:16:56

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查看完整版本: Titlebook: Brain Dynamics; An Introduction to M Hermann Haken Book 2008Latest edition Springer-Verlag Berlin Heidelberg 2008 Computational Neuroscienc