ArticleBrain sciences2016
The Cluster Variation Method: A Primer for Neuroscientists.
Article in Brain sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Cancer Niches and Their Kikuchi Free Energy.Entropy (Basel, Switzerland) · 2021Article
- The 2-D Cluster Variation Method: Topography Illustrations and Their Enthalpy Parameter Correlations.Entropy (Basel, Switzerland) · 2021Article
- Neuronal message passing using Mean-field, Bethe, and Marginal approximations.Scientific reports · 2019Article
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1 author.
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Abstract
Effective Brain-Computer Interfaces (BCIs) require that the time-varying activation patterns of 2-D neural ensembles be modelled. The cluster variation method (CVM) offers a means for the characterization of 2-D local pattern distributions. This paper provides neuroscientists and BCI researchers with a CVM tutorial that will help them to understand how the CVM statistical thermodynamics formulation can model 2-D pattern distributions expressing structural and functional dynamics in the brain. The premise is that local-in-time free energy minimization works alongside neural connectivity adaptation, supporting the development and stabilization of consistent stimulus-specific responsive activation patterns. The equilibrium distribution of local patterns, or
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