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Active Inference: Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

1, 2023

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Active Inference: First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings

1st Edition 2020, 2020

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Learning action-oriented models through active inference

PLoS computational biology, 2020-04, Vol.16 (4), p.e1007805-e1007805

2020

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PID Control as a Process of Active Inference with Linear Generative Models

Entropy (Basel, Switzerland), 2019-03, Vol.21 (3), p.257

2019

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A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback

PLoS computational biology, 2018-01, Vol.14 (1), p.e1005926-e1005926

2018

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Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using active inference

Biological psychology, 2022-03, Vol.169, p.108266-108266, Article 108266

2022

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Generative models as parsimonious descriptions of sensorimotor loops

The Behavioral and brain sciences, 2019-01, Vol.42, p.e218-e218, Article e218

2019

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Hybrid predictive coding: Inferring, fast and slow

PLoS computational biology, 2023-08, Vol.19 (8), p.e1011280-e1011280

2023

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A behavioral and modeling study of control algorithms underlying the translational optomotor response in larval zebrafish with implications for neural circuit function

PLoS computational biology, 2023-02, Vol.19 (2), p.e1010924-e1010924

2023

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Active Inference: 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers

1, 2023

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Natural Induction: Spontaneous Adaptive Organisation without Natural Selection

Entropy (Basel, Switzerland), 2024-09, Vol.26 (9), p.765

2024

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Whence the Expected Free Energy?

Neural computation, 2021-02, Vol.33 (2), p.447-482

2021

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Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs

Neural computation, 2022-05, Vol.34 (6), p.1329-1368

2022

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The free energy principle for action and perception: A mathematical review

Journal of mathematical psychology, 2017-12, Vol.81, p.55-79

2017

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Competition-based model of pheromone component ratio detection in the moth

PloS one, 2011-02, Vol.6 (2), p.e16308-e16308

2011

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How particular is the physics of the free energy principle?

Physics of life reviews, 2022-03, Vol.40, p.24-50

2022

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Recurrent, nonequilibrium systems and the Markov blanket assumption

The Behavioral and brain sciences, 2022-01, Vol.45, p.e184-e184, Article e184

2022

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Curious Inferences: Reply to Sun and Firestone on the Dark Room Problem

Trends in cognitive sciences, 2020-09, Vol.24 (9), p.681-683

2020

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Transient dynamics between displaced fixed points: An alternate nonlinear dynamical framework for olfaction

Brain research, 2012-01, Vol.1434 (24), p.62-72

2012

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Multi-neuronal refractory period adapts centrally generated behaviour to reward

PloS one, 2012-07, Vol.7 (7), p.e42493-e42493

2012

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μSPIM Toolset: A software platform for selective plane illumination microscopy

Journal of neuroscience methods, 2021-01, Vol.347, p.108952-108952, Article 108952

2021

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On the Relationship Between Active Inference and Control as Inference

Active Inference, 2020, Vol.1326, p.3-11

2020

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From the free energy principle to a confederation of Bayesian mechanics: Reply to comments on “How particular is the physics of the free energy principle?”

Physics of life reviews, 2023-03, Vol.44, p.270-275

2023

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Supervised structure learning

Biological psychology, 2024-11, Vol.193, p.108891, Article 108891

2024

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A Probabilistic Interpretation of PID Controllers Using Active Inference

From Animals to Animats 15, 2018, p.15-26

2018

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Active Inference: Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

Active Inference: First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings

Learning action-oriented models through active inference

PID Control as a Process of Active Inference with Linear Generative Models

A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback

Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using active inference

Generative models as parsimonious descriptions of sensorimotor loops

Hybrid predictive coding: Inferring, fast and slow

A behavioral and modeling study of control algorithms underlying the translational optomotor response in larval zebrafish with implications for neural circuit function

Active Inference: 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers

Natural Induction: Spontaneous Adaptive Organisation without Natural Selection

Whence the Expected Free Energy?

Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs

The free energy principle for action and perception: A mathematical review

Competition-based model of pheromone component ratio detection in the moth

How particular is the physics of the free energy principle?

Recurrent, nonequilibrium systems and the Markov blanket assumption

Curious Inferences: Reply to Sun and Firestone on the Dark Room Problem

Transient dynamics between displaced fixed points: An alternate nonlinear dynamical framework for olfaction

Multi-neuronal refractory period adapts centrally generated behaviour to reward

μSPIM Toolset: A software platform for selective plane illumination microscopy

On the Relationship Between Active Inference and Control as Inference

From the free energy principle to a confederation of Bayesian mechanics: Reply to comments on “How particular is the physics of the free energy principle?”

Supervised structure learning

A Probabilistic Interpretation of PID Controllers Using Active Inference

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