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- Continuous_spatial_automaton abstract "Continuous spatial automata, unlike cellular automata, have a continuum of locations, while the state of a location still is any of a finite number of real numbers. Time can also be continuous, and in this case the state evolves according to differential equations. One important example is reaction-diffusion textures, differential equations proposed by Alan Turing to explain how chemical reactions could create the stripes on zebras and spots on leopards. When these are approximated by CA, such CAs often yield similar patterns. Another important example is neural fields, continuum limit neural networks where average firing rates evolve based on integro-differential equations. Such models demonstrate spatiotemporal pattern formation, localized states and travelling waves. They have been used as models for cortical memory states and visual hallucinations.MacLennan [1] considers continuous spatial automata as a model of computation, and demonstrated that they can implement Turing-universality.".
- Continuous_spatial_automaton wikiPageExternalLink contin-comp.html.
- Continuous_spatial_automaton wikiPageID "7555605".
- Continuous_spatial_automaton wikiPageRevisionID "514391319".
- Continuous_spatial_automaton hasPhotoCollection Continuous_spatial_automaton.
- Continuous_spatial_automaton subject Category:Cellular_automata.
- Continuous_spatial_automaton type Anomaly109606527.
- Continuous_spatial_automaton type Automaton109825519.
- Continuous_spatial_automaton type CausalAgent100007347.
- Continuous_spatial_automaton type CellularAutomata.
- Continuous_spatial_automaton type LivingThing100004258.
- Continuous_spatial_automaton type Object100002684.
- Continuous_spatial_automaton type Organism100004475.
- Continuous_spatial_automaton type Person100007846.
- Continuous_spatial_automaton type PhysicalEntity100001930.
- Continuous_spatial_automaton type Whole100003553.
- Continuous_spatial_automaton type YagoLegalActor.
- Continuous_spatial_automaton type YagoLegalActorGeo.
- Continuous_spatial_automaton comment "Continuous spatial automata, unlike cellular automata, have a continuum of locations, while the state of a location still is any of a finite number of real numbers. Time can also be continuous, and in this case the state evolves according to differential equations. One important example is reaction-diffusion textures, differential equations proposed by Alan Turing to explain how chemical reactions could create the stripes on zebras and spots on leopards.".
- Continuous_spatial_automaton label "Continuous spatial automaton".
- Continuous_spatial_automaton sameAs m.026577c.
- Continuous_spatial_automaton sameAs Q5165519.
- Continuous_spatial_automaton sameAs Q5165519.
- Continuous_spatial_automaton sameAs Continuous_spatial_automaton.
- Continuous_spatial_automaton wasDerivedFrom Continuous_spatial_automaton?oldid=514391319.
- Continuous_spatial_automaton isPrimaryTopicOf Continuous_spatial_automaton.