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- Attractor_network abstract "An attractor network is a type of recurrent dynamical network, that evolves toward a stable pattern over time. Nodes in the attractor network converge toward a pattern that may either be fixed-point (a single state), cyclic (with regularly recurring states), chaotic (locally but not globally unstable) or random (stochastic). Attractor networks have largely been used in computational neuroscience to model neuronal processes such as associative memory and motor behavior, as well as in biologically inspired methods of machine learning.An attractor network contains a set of n nodes, which can be represented as vectors in a d-dimensional space where n>d. Over time, the network state tends toward one of a set of predefined states on a d-manifold; these are the attractors.".
- Attractor_network wikiPageID "34073692".
- Attractor_network wikiPageRevisionID "605280465".
- Attractor_network hasPhotoCollection Attractor_network.
- Attractor_network subject Category:Networks.
- Attractor_network type Abstraction100002137.
- Attractor_network type Group100031264.
- Attractor_network type Network108434259.
- Attractor_network type Networks.
- Attractor_network type System108435388.
- Attractor_network comment "An attractor network is a type of recurrent dynamical network, that evolves toward a stable pattern over time. Nodes in the attractor network converge toward a pattern that may either be fixed-point (a single state), cyclic (with regularly recurring states), chaotic (locally but not globally unstable) or random (stochastic).".
- Attractor_network label "Attractor network".
- Attractor_network sameAs m.0hr0w7c.
- Attractor_network sameAs Q4818702.
- Attractor_network sameAs Q4818702.
- Attractor_network sameAs Attractor_network.
- Attractor_network wasDerivedFrom Attractor_network?oldid=605280465.
- Attractor_network isPrimaryTopicOf Attractor_network.