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8 papers · 1 filter
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Christian Schiffer, Hannah Spitzer, Kai Kiwitz +6
Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic prin…
Is the free-energy principle a formal theory of semantics? From variational density dynamics to neural and phenotypic representations
Maxwell Ramstead, Karl Friston, Ines Hipolito
The aim of this paper is twofold: (1) to assess whether the construct of neural representations plays an explanatory role under the variational free-energy principle and its coroll…
Flexible Bayesian Modelling for Nonlinear Image Registration
Mikael Brudfors, Yaël Balbastre, Guillaume Flandin +2
We describe a diffeomorphic registration algorithm that allows groups of images to be accurately aligned to a common space, which we intend to incorporate into the SPM software. Th…
Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping
Yaël Balbastre, Mikael Brudfors, Michela Azzarito +3
Quantitative magnetic resonance imaging (qMRI) derives tissue-specific parameters -- such as the apparent transverse relaxation rate R2*, the longitudinal relaxation rate R1 and th…
Groupwise Multimodal Image Registration using Joint Total Variation
Mikael Brudfors, Yaël Balbastre, John Ashburner
In medical imaging it is common practice to acquire a wide range of modalities (MRI, CT, PET, etc.), to highlight different structures or pathologies. As patient movement between s…
Some interesting observations on the free energy principle
Karl Friston, Lancelot Da Costa, Thomas Parr
Biehl et al (2020) present some interesting observations on an early formulation of the free energy principle in (Friston, 2013). We use these observations to scaffold a discussion…