Literature DB >> 16592807

Biological competition: Decision rules, pattern formation, and oscillations.

S Grossberg1.   

Abstract

Competition solves a universal problem about pattern processing by cellular systems. Competition allows cells to automatically retune their sensitivity to avoid noise and saturation effects. All competitive systems induce decision schemes that permit them to be classified. Systems are identified that achieve global pattern formation, or decision-making, no matter how their parameters are chosen. Oscillations can occur due to contradictions in a system's decision scheme. The pattern formation and oscillation results are extreme examples of a complementarity principle that seems to hold for competitive systems. Nonlinear competitive systems can sometimes appear, to a macroscopic observer, to have linear and cooperative properties, although the two types of systems are not equivalent. This observation is relevant to theories about the evolutionary transition from competitive to cooperative behavior.

Year:  1980        PMID: 16592807      PMCID: PMC348710          DOI: 10.1073/pnas.77.4.2338

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  10 in total

1.  On the differential equations of species in competition.

Authors:  S Smale
Journal:  J Math Biol       Date:  1976-04-29       Impact factor: 2.259

2.  Some developmental and attentional biases in the contrast enhancement and short term memory of recurrent neural networks.

Authors:  S Grossberg; D Levine
Journal:  J Theor Biol       Date:  1975-09       Impact factor: 2.691

3.  Visual illusions in neural networks: line neutralization, tilt after effect, and angle expansion.

Authors:  D S Levine; S Grossberg
Journal:  J Theor Biol       Date:  1976-09-21       Impact factor: 2.691

4.  Pattern formation by the global limits of a nonlinear competitive interaction in n dimensions.

Authors:  S Grossberg
Journal:  J Math Biol       Date:  1977-07-19       Impact factor: 2.259

5.  Neural pattern discrimination.

Authors:  S Grossberg
Journal:  J Theor Biol       Date:  1970-05       Impact factor: 2.691

6.  Decisions, patterns, and oscillations in nonlinear competitive systems with applications to Volterra-Lotka systems.

Authors:  S Grossberg
Journal:  J Theor Biol       Date:  1978-07-06       Impact factor: 2.691

7.  How does a brain build a cognitive code?

Authors:  S Grossberg
Journal:  Psychol Rev       Date:  1980-01       Impact factor: 8.934

8.  Do all neural models really look alike? A comment on Anderson, Silverstein, Ritz, and Jones.

Authors:  S Grossberg
Journal:  Psychol Rev       Date:  1978-11       Impact factor: 8.934

9.  On a diffusive prey--predator model which exhibits patchiness.

Authors:  M Mimura; J D Murray
Journal:  J Theor Biol       Date:  1978-12-07       Impact factor: 2.691

10.  Control of sequential compartment formation in Drosophila.

Authors:  S A Kauffman; R M Shymko; K Trabert
Journal:  Science       Date:  1978-01-20       Impact factor: 47.728

  10 in total
  14 in total

1.  A symbolic/subsymbolic interface protocol for cognitive modeling.

Authors:  Patrick Simen; Thad Polk
Journal:  Log J IGPL       Date:  2010-10-01       Impact factor: 0.861

2.  Where's Waldo? How perceptual, cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene.

Authors:  Hung-Cheng Chang; Stephen Grossberg; Yongqiang Cao
Journal:  Front Integr Neurosci       Date:  2014-06-17

3.  Neural dynamics of object-based multifocal visual spatial attention and priming: object cueing, useful-field-of-view, and crowding.

Authors:  Nicholas C Foley; Stephen Grossberg; Ennio Mingolla
Journal:  Cogn Psychol       Date:  2012-03-14       Impact factor: 3.468

4.  Neural computation of inner geometric pattern relations.

Authors:  H Glünder
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

5.  Ongoing cortical activity at rest: criticality, multistability, and ghost attractors.

Authors:  Gustavo Deco; Viktor K Jirsa
Journal:  J Neurosci       Date:  2012-03-07       Impact factor: 6.167

6.  Dynamic connections in neural networks.

Authors:  J A Feldman
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

Review 7.  Plasticity of Sensorimotor Networks: Multiple Overlapping Mechanisms.

Authors:  Ethan R Buch; Sook-Lei Liew; Leonardo G Cohen
Journal:  Neuroscientist       Date:  2016-07-08       Impact factor: 7.519

8.  A layered neural architecture for the consolidation, maintenance, and updating of representations in visual working memory.

Authors:  Jeffrey S Johnson; John P Spencer; Gregor Schöner
Journal:  Brain Res       Date:  2009-07-14       Impact factor: 3.252

9.  A dynamic neural field model of visual working memory and change detection.

Authors:  Jeffrey S Johnson; John P Spencer; Steven J Luck; Gregor Schöner
Journal:  Psychol Sci       Date:  2009-05-01

10.  Global consensus theorem and self-organized criticality: unifying principles for understanding self-organization, swarm intelligence and mechanisms of carcinogenesis.

Authors:  Simon Rosenfeld
Journal:  Gene Regul Syst Bio       Date:  2013-02-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.