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Computational psychiatry: from synapses to sentience
This review considers computational psychiatry from a particular viewpoint: namely, a
commitment to explaining psychopathology in terms of pathophysiology. It rests on the …
commitment to explaining psychopathology in terms of pathophysiology. It rests on the …
The free energy principle made simpler but not too simple
This paper provides a concise description of the free energy principle, starting from a
formulation of random dynamical systems in terms of a Langevin equation and ending with a …
formulation of random dynamical systems in terms of a Langevin equation and ending with a …
[HTML][HTML] A step-by-step tutorial on active inference and its application to empirical data
The active inference framework, and in particular its recent formulation as a partially
observable Markov decision process (POMDP), has gained increasing popularity in recent …
observable Markov decision process (POMDP), has gained increasing popularity in recent …
The empirical status of predictive coding and active inference
Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …
theories: Predictive Coding for perception and Active Inference for decision-making. While …
Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Mechanistic insight is achieved only when experiments are employed to test formal or
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
[HTML][HTML] How particular is the physics of the free energy principle?
The free energy principle (FEP) states that any dynamical system can be interpreted as
performing Bayesian inference upon its surrounding environment. Although, in theory, the …
performing Bayesian inference upon its surrounding environment. Although, in theory, the …
Sophisticated inference
Active inference offers a first principle account of sentient behavior, from which special and
important cases—for example, reinforcement learning, active learning, Bayes optimal …
important cases—for example, reinforcement learning, active learning, Bayes optimal …
[HTML][HTML] Information geometry, fluctuations, non-equilibrium thermodynamics, and geodesics in complex systems
E Kim - Entropy, 2021 - mdpi.com
Information theory provides an interdisciplinary method to understand important phenomena
in many research fields ranging from astrophysical and laboratory fluids/plasmas to …
in many research fields ranging from astrophysical and laboratory fluids/plasmas to …
[HTML][HTML] Some interesting observations on the free energy principle
Biehl et al.(2021) present some interesting observations on an early formulation of the free
energy principle. We use these observations to scaffold a discussion of the technical …
energy principle. We use these observations to scaffold a discussion of the technical …
[HTML][HTML] Memory and Markov blankets
In theoretical biology, we are often interested in random dynamical systems—like the brain—
that appear to model their environments. This can be formalized by appealing to the …
that appear to model their environments. This can be formalized by appealing to the …