Results 51 to 60 of about 10,102,387 (234)
Reinforced Imitation Learning by Free Energy Principle
Reinforcement Learning (RL) requires a large amount of exploration especially in sparse-reward settings. Imitation Learning (IL) can learn from expert demonstrations without exploration, but it never exceeds the expert's performance and is also vulnerable to distributional shift between demonstration and execution.
Ryoya Ogishima +2 more
openaire +3 more sources
The Energy Homeostasis Principle: A Naturalistic Approach to Explain the Emergence of Behavior
It is still elusive to explain the emergence of behavior and understanding based on its neural mechanisms. One renowned proposal is the Free Energy Principle (FEP), which uses an information-theoretic framework derived from thermodynamic considerations ...
Sergio Vicencio-Jimenez +3 more
doaj +1 more source
Thermodynamic Study of H2-FeO Based on the Principle of Minimum Gibbs Free Energy
Studies have shown that the reduction of wustite is the limiting factor in the ironmaking process, whether in hydrogen-based shaft furnaces, hydrogen-rich blast furnaces or smelting reduction vessels.
Shuyue Chen +5 more
doaj +1 more source
Is the free-energy principle neurocentric? [PDF]
Recently, a free-energy formulation of brain function was reviewed in relation to several other neurobiological theories (The freeenergy principle: a unified brain theory? Nature Rev. Neurosci. 11, 127–138 (2010))1. Fiorillo raises some interesting questions about the formulation from a neurocentric perspective (A neurocentric approach to Bayesian ...
openaire +2 more sources
Predictive coding under the free-energy principle [PDF]
This paper considers prediction and perceptual categorization as an inference problem that is solved by the brain. We assume that the brain models the world as a hierarchy or cascade of dynamical systems that encode causal structure in the sensorium. Perception is equated with the optimization or inversion of these internal models, to explain sensory ...
Friston, K., Kiebel, S.
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A Neural Network Implementation for Free Energy Principle
12 pages, 3 figures, submitted to the 4th international workshop on active ...
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ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
Knowing one's place: a free-energy approach to pattern regulation. [PDF]
Understanding how organisms establish their form during embryogenesis and regeneration represents a major knowledge gap in biological pattern formation.
Levin, M +3 more
core
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source

