Literature DB >> 8336084

Non-locality in biological systems results from hierarchy. Application to the nervous system.

G A Chauvet1.   

Abstract

The concept of non-locality is deduced from a new concept for biological systems, the "functional interaction." It is shown that a biological system, which is expressed in terms of functional interactions, can be constructed as a hierarchical system, the dynamics of which are represented by a non-local field at each level of organization. The two following constraints: continuous representation of state variables and hierarchy of the system, result in non-locality, i.e., a space property according to which the system depends on mechanisms that are located elsewhere in the space. Concepts and theory are illustrated in the case of the nervous system, where two levels of organization are considered, the level of neurons and the level of synapses. Non-local versus local field operators are discussed, and an interpretation of the field equation terms is proposed. A general formulation of non-local operators for hierarchical systems is given.

Mesh:

Year:  1993        PMID: 8336084     DOI: 10.1007/bf00173887

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  4 in total

1.  A field theory of neural nets: I. Derivation of field equations.

Authors:  J S GRIFFITH
Journal:  Bull Math Biophys       Date:  1963-03

2.  Temporal oscillations in neuronal nets.

Authors:  G B Ermentrout; J D Cowan
Journal:  J Math Biol       Date:  1979-04-18       Impact factor: 2.259

3.  Excitatory and inhibitory interactions in localized populations of model neurons.

Authors:  H R Wilson; J D Cowan
Journal:  Biophys J       Date:  1972-01       Impact factor: 4.033

4.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

  4 in total
  2 in total

1.  Finding simplicity in complexity: general principles of biological and nonbiological organization.

Authors:  Jose L Perez Velazquez
Journal:  J Biol Phys       Date:  2009-04-04       Impact factor: 1.365

2.  An n-level field theory of biological neural networks.

Authors:  G A Chauvet
Journal:  J Math Biol       Date:  1993       Impact factor: 2.259

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.