Claudia Battistin | DeepAI

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research

∙ 10/06/2022

Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles

Systems neuroscience relies on two complementary views of neural data, c...

0 Martin Bjerke, et al. ∙

research

∙ 06/24/2022

How is model-related uncertainty quantified and reported in different disciplines?

How do we know how much we know? Quantifying uncertainty associated with...

0 Emily G. Simmonds, et al. ∙

research

∙ 02/24/2017

The Stochastic complexity of spin models: How simple are simple spin models?

Simple models, in information theoretic terms, are those with a small st...

0 Alberto Beretta, et al. ∙

research

∙ 07/28/2016

Variational perturbation and extended Plefka approaches to dynamics on random networks: the case of the kinetic Ising model

We describe and analyze some novel approaches for studying the dynamics ...

0 Ludovica Bachschmid-Romano, et al. ∙