Diverticulum 发表于 2025-3-21 19:13:34

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affinity 发表于 2025-3-21 23:48:27

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嫌恶 发表于 2025-3-22 02:11:57

Moritz Helias,David DahmenProvides the first self-contained introduction to field theory for neuronal networks.Presents the main concepts from field theory that are relevant for network dynamics, including diagrammatic techniq

Ischemic-Stroke 发表于 2025-3-22 08:32:33

978-3-030-46443-1Springer Nature Switzerland AG 2020

Compass 发表于 2025-3-22 10:47:58

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辞职 发表于 2025-3-22 15:21:24

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旧石器时代 发表于 2025-3-22 20:25:08

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难取悦 发表于 2025-3-22 22:16:47

Probabilities, Moments, Cumulants,the cumulant-generating function. It, correspondingly, introduces moments and cumulants and their mutual connections. These definitions are key to the subsequent concepts, such as the perturbative computation of statistics.

Gratulate 发表于 2025-3-23 02:04:29

Loopwise Expansion in the MSRDJ Formalism,al, introduced in Chap. .. This will allow us to obtain self-consistent solutions for the mean of the process including fluctuation corrections. It also enables the efficient computation of higher order cumulants of the process by decomposing them into vertex functions, as introduced in Chap. ..

RUPT 发表于 2025-3-23 08:08:32

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查看完整版本: Titlebook: Statistical Field Theory for Neural Networks; Moritz Helias,David Dahmen Book 2020 Springer Nature Switzerland AG 2020 Statistical physics