相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Active inference models do not contradict folk psychology
Ryan Smith et al.
SYNTHESE (2022)
Whence the Expected Free Energy?
Beren Millidge et al.
NEURAL COMPUTATION (2021)
Greater decision uncertainty characterizes a transdiagnostic patient sample during approach-avoidance conflict: a computational modelling approach
Ryan Smith et al.
JOURNAL OF PSYCHIATRY & NEUROSCIENCE (2021)
Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing
Lancelot Da Costa et al.
ENTROPY (2021)
Gut inference: A computational modelling approach
Ryan Smith et al.
BIOLOGICAL PSYCHOLOGY (2021)
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker
Theophile Champion et al.
NEURAL COMPUTATION (2021)
An Active Inference Approach to Dissecting Reasons for Nonadherence to Antidepressants
Ryan Smith et al.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING (2021)
Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference
Lars Sandved-Smith et al.
NEUROSCIENCE OF CONSCIOUSNESS (2021)
Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
Ryan Smith et al.
SCIENTIFIC REPORTS (2021)
Learning action-oriented models through active inference
Alexander Tschantz et al.
PLoS Computational Biology (2020)
Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore-exploit dilemma
Ryan Smith et al.
DRUG AND ALCOHOL DEPENDENCE (2020)
Active inference on discrete state-spaces: A synthesis
Lancelot Da Costa et al.
JOURNAL OF MATHEMATICAL PSYCHOLOGY (2020)
A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders
Ryan Smith et al.
PLOS COMPUTATIONAL BIOLOGY (2020)
Laminar fMRI and computational theories of brain function
K. E. Stephan et al.
NEUROIMAGE (2019)
Neuronal message passing using Mean-field, Bethe, and Marginal approximations
Thomas Parr et al.
SCIENTIFIC REPORTS (2019)
The hierarchically mechanistic mind: an evolutionary systems theory of the human brain, cognition, and behavior
Paul B. Badcock et al.
COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE (2019)
Computational mechanisms of curiosity and goal-directed exploration
Philipp Schwartenbeck et al.
ELIFE (2019)
Neurocomputational mechanisms underlying emotional awareness: Insights afforded by deep active inference and their potential clinical relevance
Ryan Smith et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2019)
Locus Coeruleus tracking of prediction errors optimises cognitive flexibility: An Active Inference model
Anna C. Sales et al.
PLOS COMPUTATIONAL BIOLOGY (2019)
Planning and navigation as active inference
Raphael Kaplan et al.
BIOLOGICAL CYBERNETICS (2018)
Deep temporal models and active inference (vol 77, pg 388, 2017)
Karl J. Friston et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2018)
Human visual exploration reduces uncertainty about the sensed world
M. Berk Mirza et al.
PLOS ONE (2018)
Hierarchical Active Inference: A Theory of Motivated Control
Giovanni Pezzulo et al.
TRENDS IN COGNITIVE SCIENCES (2018)
The Anatomy of Inference: Generative Models and Brain Structure
Thomas Parr et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2018)
A tutorial on the free-energy framework for modelling perception and learning
Rafal Bogacz
JOURNAL OF MATHEMATICAL PSYCHOLOGY (2017)
The free energy principle for action and perception: A mathematical review
Christopher L. Buckley et al.
JOURNAL OF MATHEMATICAL PSYCHOLOGY (2017)
Uncertainty, epistemics and active inference
Thomas Parr et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2017)
Dynamic models of large-scale brain activity
Michael Breakspear
NATURE NEUROSCIENCE (2017)
Active Inference, Curiosity and Insight
Karl J. Friston et al.
NEURAL COMPUTATION (2017)
Active Inference: A Process Theory
Karl Friston et al.
NEURAL COMPUTATION (2017)
Working memory, attention, and salience in active inference
Thomas Parr et al.
SCIENTIFIC REPORTS (2017)
The graphical brain: Belief propagation and active inference
Karl J. Friston et al.
NETWORK NEUROSCIENCE (2017)
Transcending the evidentiary boundary: Prediction error minimization, embodied interaction, and explanatory pluralism
Regina E. Fabry
PHILOSOPHICAL PSYCHOLOGY (2017)
Active inference and learning
Karl Friston et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2016)
Distrusting the present
Jakob Hohwy et al.
PHENOMENOLOGY AND THE COGNITIVE SCIENCES (2016)
The body as laboratory: Prediction-error minimization, embodiment, and representation
Christopher Burr et al.
PHILOSOPHICAL PSYCHOLOGY (2016)
Active Inference, homeostatic regulation and adaptive behavioural control
Giovanni Pezzulo et al.
PROGRESS IN NEUROBIOLOGY (2015)
The Dopaminergic Midbrain Encodes the Expected Certainty about Desired Outcomes
Philipp Schwartenbeck et al.
CEREBRAL CORTEX (2015)
Bayesian model selection for group studies - Revisited
L. Rigoux et al.
NEUROIMAGE (2014)
Sleep and the Price of Plasticity: From Synaptic and Cellular Homeostasis to Memory Consolidation and Integration
Giulio Tononi et al.
NEURON (2014)
Humans Use Directed and Random Exploration to Solve the Explore-Exploit Dilemma
Robert C. Wilson et al.
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL (2014)
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Andy Clark
BEHAVIORAL AND BRAIN SCIENCES (2013)
Predictions not commands: active inference in the motor system
Rick A. Adams et al.
BRAIN STRUCTURE & FUNCTION (2013)
Novelty or Surprise?
Andrew Barto et al.
FRONTIERS IN PSYCHOLOGY (2013)
Waking and dreaming consciousness: Neurobiological and functional considerations
J. A. Hobson et al.
PROGRESS IN NEUROBIOLOGY (2012)
Planning as inference
Matthew Botvinick et al.
TRENDS IN COGNITIVE SCIENCES (2012)
Bayesian model selection for group studies
Klaas Enno Stephan et al.
NEUROIMAGE (2009)
Neural signature of the conscious processing of auditory regularities
Tristan A. Bekinschtein et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2009)
Variational free energy and the Laplace approximation
Karl J. Friston et al.
NEUROIMAGE (2007)
Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts
Juergen Schmidhuber
CONNECTION SCIENCE (2006)
An introduction to factor graphs
HA Loeliger
IEEE SIGNAL PROCESSING MAGAZINE (2004)