Deep temporal models and active inference

Neuroscience and Biobehavioral Reviews
Karl FristonHoward Bowman

Abstract

How do we navigate a deeply structured world? Why are you reading this sentence first - and did you actually look at the fifth word? This review offers some answers by appealing to active inference based on deep temporal models. It builds on previous formulations of active inference to simulate behavioural and electrophysiological responses under hierarchical generative models of state transitions. Inverting these models corresponds to sequential inference, such that the state at any hierarchical level entails a sequence of transitions in the level below. The deep temporal aspect of these models means that evidence is accumulated over nested time scales, enabling inferences about narratives (i.e., temporal scenes). We illustrate this behaviour with Bayesian belief updating - and neuronal process theories - to simulate the epistemic foraging seen in reading. These simulations reproduce perisaccadic delay period activity and local field potentials seen empirically. Finally, we exploit the deep structure of these models to simulate responses to local (e.g., font type) and global (e.g., semantic) violations; reproducing mismatch negativity and P300 responses respectively.

Citations

May 11, 2019·ELife·Philipp SchwartenbeckKarl J Friston
May 23, 2019·Cognitive, Affective & Behavioral Neuroscience·Paul B BadcockJakob Hohwy
Jun 22, 2019·Pharmacological Reviews·R L Carhart-Harris, K J Friston
Apr 24, 2020·PLoS Computational Biology·Alexander TschantzChristopher L Buckley
Oct 3, 2020·Perspectives on Psychological Science : a Journal of the Association for Psychological Science·Omer Van den BerghCristina Ottaviani
Jul 11, 2020·The Behavioral and Brain Sciences·Martina G Vilas, Lucia Melloni
Jan 6, 2021·Neural Computation·Beren MillidgeChristopher L Buckley
Dec 30, 2020·Cognitive, Affective & Behavioral Neuroscience·Dimitrije MarkovićStefan J Kiebel
Oct 12, 2020·Progress in Neurobiology·Christopher J Whyte, Ryan Smith
Feb 26, 2021·Synthese·Maxwell J D RamsteadKarl J Friston
Feb 12, 2020·Biological Psychiatry : Cognitive Neuroscience and Neuroimaging·Ryan SmithMartin P Paulus
Jul 20, 2021·Neural Computation·Théophile ChampionHoward Bowman

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Software Mentioned

SPM
Matlab
MDP
VB

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