Neural Systems Under Change of Scale

Neural Systems Under Change of Scale

We derive a theoretical construct that allows for the characterisation of both scalable and scale free systems within the dynamic causal modelling (DCM) framework. We define a dynamical system to be “scalable” if the same equation of motion continues to apply as the system changes in size. As an exa...

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Bibliographic Details
Main Authors: Erik D. Fagerholm, W. M. C. Foulkes, Yasir Gallero-Salas, Fritjof Helmchen, Karl J. Friston, Robert Leech, Rosalyn J. Moran
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Computational Neuroscience
Subjects:
scalable neural systems
scale free neural systems
mechanical similarity
dynamic causal modeling (DCM)
computational neuroscience
theoretical neuroscience
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.643148/full

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https://www.frontiersin.org/articles/10.3389/fncom.2021.643148/full

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