Karl Friston
British neuroscientist who developed free-energy principle for brain function.
Most quoted
"The free energy principle is a variational principle for adaptive systems. It says that any self-organizing system that is at equilibrium with its environment must minimize its free energy."
— from Scholarpedia, 2010
"The free energy principle is a mathematical expression of the idea that living systems are constantly trying to minimize their surprise."
— from Scholarpedia, 2010
"The free energy principle is a theory of how the brain maintains its internal states in the face of a constantly changing environment."
— from Scholarpedia, 2010
All quotes by Karl Friston (103)
The brain is a generative model that tries to explain its sensory input.
The free energy principle is a unified theory of brain function.
The brain is constantly updating its model of the world.
The free energy principle is a mathematical statement about the nature of life itself.
The brain is a predictive processor.
The free energy principle is a way of understanding how the brain maintains its homeostasis.
The brain is a hypothesis-generating and testing machine.
The free energy principle is a theory of how the brain makes sense of a complex and uncertain world.
The brain is an active inference system that tries to minimize its prediction error.
The free energy principle is a fundamental principle that underlies all aspects of brain function.
The brain is a Bayesian organ that is constantly trying to infer the causes of its sensory inputs.
The brain is essentially a Bayesian inference engine, constantly updating its beliefs about the world.
Free energy is the energy of surprise; minimizing it is the brain's way of staying alive.
Active inference is the process by which organisms act upon the world to fulfill their expectations.
Prediction errors are the currency of cognition; without them, learning ceases.
The free energy principle unifies perception, action, and learning under a single variational framework.
In neuroscience, the map is not the territory; it's a probabilistic model of it.
Surprise is the ghost in the machine, driving all adaptive behavior.
Generative models are the scaffolding of the mind, building worlds from priors and data.
Empirical Bayes is nature's way of hierarchical inference.
Contemporaries of Karl Friston
Other Cognitive Sciences born within 50 years of Karl Friston (1968).