A worrying number of psychological findings are not replicable. Diagnoses of the causes of
this “replication crisis,” and recommendations to address it, have nearly exclusively focused …

This review article summarises recently proposed theories on how neural circuits in the
brain could approximate the error back-propagation algorithm used by artificial neural …

In order to understand how the mammalian neocortex is performing computations, two
things are necessary; we need to have a good understanding of the available neuronal …

The study and understanding of human behaviour is relevant to computer science, artificial
intelligence, neural computation, cognitive science, philosophy, psychology, and several …

In the past decade the field of cognitive sciences has seen an exponential growth in the
number of computational modeling studies. Previous work has indicated why and how …

Memorization is an essential functionality that enables today's machine learning algorithms
to provide a high quality of learning and reasoning for each prediction. Memorization gives …

A growing literature suggests that the hippocampus is critical for the rapid extraction of
regularities from the environment. Although this fits with the known role of the hippocampus …

A proposal for a fully post-phrenological neuroscience that details the evolutionary roots of
functional diversity in brain regions and networks. The computer analogy of the mind has …

ACT‐R is a hybrid cognitive architecture. It is comprised of a set of programmable
information processing mechanisms that can be used to predict and explain human …

This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …