Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
What the Escherichia Coli Tells Neurons about Learning
Áreas de investigación
  • Ciencias biológicas,
  • Psicología,
  • Ingenierías
The Escherichia coli is a bacterium that comfortingly lives in the hu- man gut and one of the best known living organisms. The sensitivity of this cell to environmental changes is reflected in two kind of movements that can be ob- served in a swimming bacterium: ?run? towards an attractant, for example food, and ?tumbling?, in which a new direction is chosen randomly for the next ?run?. This simple bimodal behavior of the E. coli constitutes in itself a paradigm of adaptation in which roboticists and cognitive psychologists have found inspira- tion. We present a new approach to synaptic plasticity in the nervous system by scrutinizing Escherichia coli?s motility and the signaling pathways that mediate its adaptive behavior. The formidable knowledge achieved in the last decade on bacterial chemotaxis, serve as the basis for a theory of a simple form of learning called habituation, that is applicable to biological and other systems. In this paper we try to establish a new framework that helps to explain what signals mean to the organisms, how these signals are integrated in patterns of behavior, and how they are sustained by an internal model of the world. The concepts of adaptation, synaptic plasticity and learning will be revisited within a new perspective, provid- ing a quantitative basis for the understanding of how brains cope with a changing environment.
Edición del Libro
Editorial del Libro
Título del Libro
Integral Biomathics
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Esta actividad pertenece a memorias de investigación
  • Autor: Ricardo Sanz Bravo (UPM)
  • Autor: Jaime Gómez Ramírez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Autónomos
  • Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC
  • Departamento: Automática, Ingeniería Electrónica e Informática Industrial
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