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39 relations: Bayesian cognitive science, Bayesian probability, Bayesian statistics, Cognitive architecture, Edwin Thompson Jaynes, Experimental psychology, Free energy principle, Geoffrey Hinton, Harold Jeffreys, Helmholtz machine, Hermann von Helmholtz, Hierarchical temporal memory, Human brain, Jeff Hawkins, Kalman filter, Karl J. Friston, Machine learning, Markov chain, Mental model, Michael S. Landy, Michael Shadlen, Mismatch negativity, Neural computation, Neuroscience, New Scientist, Peter Dayan, Pierre-Simon Laplace, Predictive coding, Priming (psychology), Psychology, Richard Threlkeld Cox, Science News, Statistical model, Thermodynamic free energy, Thomas Bayes, Two-alternative forced choice, Unsupervised learning, Variational Bayesian methods, Zoubin Ghahramani.
Bayesian cognitive science
Bayesian Cognitive Science (also known as Computational Cognitive Science) is a rapidly growing approach to cognitive science concerned with the rational analysis of cognition through the use of Bayesian inference and cognitive modeling.
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Bayesian probability
Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief.
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Bayesian statistics
Bayesian statistics, named for Thomas Bayes (1701–1761), is a theory in the field of statistics in which the evidence about the true state of the world is expressed in terms of degrees of belief known as Bayesian probabilities.
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Cognitive architecture
A cognitive architecture can refer to a theory about the structure of the human mind.
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Edwin Thompson Jaynes
Edwin Thompson Jaynes (July 5, 1922 – April 30, 1998) was the Wayman Crow Distinguished Professor of Physics at Washington University in St. Louis.
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Experimental psychology
Experimental psychology refers to work done by those who apply experimental methods to psychological study and the processes that underlie it.
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Free energy principle
The free energy principle tries to explain how (biological) systems maintain their order (non-equilibrium steady-state) by restricting themselves to a limited number of states.
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Geoffrey Hinton
Geoffrey Everest Hinton One or more of the preceding sentences incorporates text from the royalsociety.org website where: (born 6 December 1947) is a British cognitive psychologist and computer scientist, most noted for his work on artificial neural networks.
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Harold Jeffreys
Sir Harold Jeffreys, FRS (22 April 1891 – 18 March 1989) was a British mathematician, statistician, geophysicist, and astronomer.
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Helmholtz machine
The Helmholtz machine is a type of artificial neural network that can account for the hidden structure of a set of data by being trained to create a generative model of the original set of data.
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Hermann von Helmholtz
Hermann Ludwig Ferdinand von Helmholtz (August 31, 1821 – September 8, 1894) was a German physician and physicist who made significant contributions in several scientific fields.
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Hierarchical temporal memory
Hierarchical temporal memory (HTM) is a technology based on a realistic biologically-constrained model of the pyramidal neuron that reflects today’s most recent neocortical research originally described in the 2004 book On Intelligence by Jeff Hawkins with Sandra Blakeslee.
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Human brain
The human brain is the central organ of the human nervous system, and with the spinal cord makes up the central nervous system.
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Jeff Hawkins
Jeffrey Hawkins (born June 1, 1957) is the American founder of Palm Computing (where he invented the PalmPilot) and Handspring (where he invented the Treo).
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Kalman filter
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe.
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Karl J. Friston
Karl John Friston FRS, FMedSci, FRSB, is a British neuroscientist and authority on brain imaging.
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Machine learning
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
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Markov chain
A Markov chain is "a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event".
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Mental model
A mental model is an explanation of someone's thought process about how something works in the real world.
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Michael S. Landy
Michael S. Landy is Professor of Psychology and Neural Science at New York University.
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Michael Shadlen
Michael Neil Shadlen (born 19 August 1959) is an American neuroscientist and neurologist, who has made contributions in the neuroscience of decision making.
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Mismatch negativity
The mismatch negativity (MMN) or mismatch field (MMF) is a component of the event-related potential (ERP) to an odd stimulus in a sequence of stimuli.
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Neural computation
Neural computation is the hypothetical information processing performed by networks of neurons.
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Neuroscience
Neuroscience (or neurobiology) is the scientific study of the nervous system.
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New Scientist
New Scientist, first published on 22 November 1956, is a weekly, English-language magazine that covers all aspects of science and technology.
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Peter Dayan
Peter Samuel Dayan is the director of the Gatsby Charitable Foundation Computational Neuroscience Unit at University College London.
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Pierre-Simon Laplace
Pierre-Simon, marquis de Laplace (23 March 1749 – 5 March 1827) was a French scholar whose work was important to the development of mathematics, statistics, physics and astronomy.
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Predictive coding
Predictive coding models suggest that the brain is constantly generating and updating hypotheses that predict sensory input at varying levels of abstraction.
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Priming (psychology)
Priming is a technique whereby exposure to one stimulus influences a response to a subsequent stimulus, without conscious guidance or intention.
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Psychology
Psychology is the science of behavior and mind, including conscious and unconscious phenomena, as well as feeling and thought.
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Richard Threlkeld Cox
Richard Threlkeld Cox (August 5, 1898 – May 2, 1991) was a professor of physics at Johns Hopkins University, known for Cox's theorem relating to the foundations of probability.
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Science News
Science News is an American bi-weekly magazine devoted to short articles about new scientific and technical developments, typically gleaned from recent scientific and technical journals.
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Statistical model
A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of some sample data and similar data from a larger population.
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Thermodynamic free energy
The thermodynamic free energy is the amount of work that a thermodynamic system can perform.
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Thomas Bayes
Thomas Bayes (c. 1701 7 April 1761) was an English statistician, philosopher and Presbyterian minister who is known for formulating a specific case of the theorem that bears his name: Bayes' theorem.
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Two-alternative forced choice
Two-alternative forced choice (2AFC) is a method for measuring the subjective experience of a person or animal through their pattern of choices and response times.
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Unsupervised learning
Unsupervised machine learning is the machine learning task of inferring a function that describes the structure of "unlabeled" data (i.e. data that has not been classified or categorized).
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Variational Bayesian methods
Variational Bayesian methods are a family of techniques for approximating intractable integrals arising in Bayesian inference and machine learning.
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Zoubin Ghahramani
Zoubin Ghahramani FRS (ژوبین قهرمانی; born 8 February 1970) is a British-Iranian researcher and Professor of Information Engineering at the University of Cambridge.
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References
[1] https://en.wikipedia.org/wiki/Bayesian_approaches_to_brain_function
