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Author Spotlight: Investigating the Impact of Aging on Hippocampal-Dependent Spatial Learning
Published on: February 16, 2024
Meta-learning in active inference
1Computer Science Department, Autonomous University of Barcelona, and School of Psychology and Neuroscience, University of St Andrews, Barcelona, Spain op5@st-andrews.ac.ukhttps://openacchio.github.io/.
Abstract:
Binz et al. propose meta-learning as a promising avenue for modelling human cognition. They provide an in-depth reflection on the advantages of meta-learning over other computational models of cognition, including a sound discussion on how their proposal can accommodate neuroscientific insights. We argue that active inference presents similar computational advantages while offering greater mechanistic explanatory power and biological plausibility.
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