Results 241 to 250 of about 649,550 (269)

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit. [PDF]

Nat Commun
Van de Maele T, Dhoedt B, Verbelen T, Pezzulo G.   +3 more
europepmc   +1 more source

Integration of Sense and Control for Uncertain Systems Based on Delayed Feedback Active Inference. [PDF]

Entropy (Basel)
Ji M, Pan K, Zhang X, Pan Q, Dai X, Lyu Y.   +5 more
europepmc   +1 more source

Corrigendum to "Conscious active inference II: Quantum orchestrated objective reduction among intraneuronal microtubules naturally accounts for discrete perceptual cycles" [Comput Struct Biotechnol J 30 (2024) 3314]. [PDF]

Comput Struct Biotechnol J
Wiest MC, Puniani AS.
europepmc   +1 more source

The Physics and Metaphysics of Social Powers: Bridging Cognitive Processing and Social Dynamics, a New Perspective on Power Through Active Inference. [PDF]

Entropy (Basel)
Albarracin M, de Jager S, Hyland D.
europepmc   +1 more source

Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging. [PDF]

Brain Sci
Limongi R, Skelton AB, Tzianas LH, Silva AM.   +3 more
europepmc   +1 more source

Learning and embodied decisions in active inference

Priorelli M, Stoianov IP, Pezzulo G.
europepmc   +1 more source

Active inference and learning [PDF]

Neuroscience and Biobehavioral Reviews, 2016
This paper offers an active inference account of choice behaviour and learning. It focuses on the distinction between goal-directed and habitual behaviour and how they contextualise each other. We show that habits emerge naturally (and autodidactically) from sequential policy optimisation when agents are equipped with state-action policies.
Karl J Friston, Thomas H B Fitzgerald, Francesco Rigoli   +2 more
exaly   +8 more sources