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Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

PDF | Network models are well-suited for phenomena detection, and most empirical network studies have been exploratory so far. Yet, due to the close... | Find, read and cite all the research you need ...

The ultimate tool for finding the perfect color palette for data visualization with R and paletteer. Explore over 2000 palettes, see them in action on various charts, simulate color blindness, and exp...

This series of webinars introduces the mvgam R package, which can fit State-Space Dynamic Generalized Additive Models using Bayesian inference to time series...

YouTube video by Lisa DeBruine

Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrat...

The concept of factorial invariance has evolved since it originated in the 1930s as a criterion for the usefulness of the multiple factor model; it has become a form of analysis supporting the vali...

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