Evidence of a noise induced transition in fluid neural networks

Submitted to Physica D. Focusing on a phenomenon observed in the temporal patterns of activity behavior of Leptothorax ants, we introduce the notion of Noise Induced Computation. We study, from a Noise Induced Transition perspective, the emergent property of autosynchronization in ant colonies, usin...

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Detalles Bibliográficos
Autores: Delgado Pin, Jordi|||0000-0003-4546-8355, Solé, Ricard Vicenç
Tipo de recurso: informe técnico
Fecha de publicación:1995
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/82157
Acceso en línea:https://hdl.handle.net/2117/82157
Access Level:acceso abierto
Palabra clave:Fluid neural networks
Selforganization
Noise induced transitions
Àrees temàtiques de la UPC::Informàtica
Descripción
Sumario:Submitted to Physica D. Focusing on a phenomenon observed in the temporal patterns of activity behavior of Leptothorax ants, we introduce the notion of Noise Induced Computation. We study, from a Noise Induced Transition perspective, the emergent property of autosynchronization in ant colonies, using to model this phenomenon the formalism of Fluid Neural Networks. It is known that through this autosynchronization, ants attain, as a global computational property, a mechanism for information exchange known from computer science as mutual exclusion. We have numerical evidence that this happens at the critical point of the noise induced transition.