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Figure. 1: Cable theory's simplified view of a neuronal fiber. In neuroscience, classical cable theory uses mathematical models to calculate the electric current (and accompanying voltage) along passive [a] neurites, particularly the dendrites that receive synaptic inputs at different sites and times.
TD-Lambda is a learning algorithm invented by Richard S. Sutton based on earlier work on temporal difference learning by Arthur Samuel. [11] This algorithm was famously applied by Gerald Tesauro to create TD-Gammon , a program that learned to play the game of backgammon at the level of expert human players.
This field of study has its historical roots in numerous disciplines including machine learning, experimental psychology and Bayesian statistics.As early as the 1860s, with the work of Hermann Helmholtz in experimental psychology, the brain's ability to extract perceptual information from sensory data was modeled in terms of probabilistic estimation.
The associated process theory of neuronal dynamics is based on minimising free energy through gradient descent. This corresponds to generalised Bayesian filtering (where ~ denotes a variable in generalised coordinates of motion and D {\displaystyle D} is a derivative matrix operator): [ 39 ]
Cognitive psychology is the science that looks at how mental processes are responsible for the cognitive abilities to store and produce new memories, produce language, recognize people and objects, as well as our ability to reason and problem solve.
Lambda (/ ˈ l æ m d ə / ⓘ; [1] uppercase Λ, lowercase λ; Greek: λάμ(β)δα, lám(b)da) is the eleventh letter of the Greek alphabet, representing the voiced alveolar lateral approximant IPA:. In the system of Greek numerals, lambda has a value of 30. Lambda is derived from the Phoenician Lamed. Lambda gave rise to the Latin L and the ...
Karl H. Pribram (/ ˈ p r aɪ b r æ m /; German: [ˈpʁiːbram]; February 25, 1919 – January 19, 2015) was a neurosurgeon, neuroscientist and theoretical philosopher described by his peers as the “Einstein of Brain Science” [1] and the the “Magellan of the Mind” for his groundbreaking research into the “functions of the brain’s limbic system, frontal lobes, temporal lobes, and ...
The basic BCM rule takes the form = (()) (),where: is the synaptic weight of the th synapse,; is th synapse's input current, = () = () is the inner product of weights and input currents (weighted sum of inputs),