Literature DB >> 17571936

Models wagging the dog: are circuits constructed with disparate parameters?

Thomas Nowotny1, Attila Szücs, Rafael Levi, Allen I Selverston.   

Abstract

In a recent article, Prinz, Bucher, and Marder (2004) addressed the fundamental question of whether neural systems are built with a fixed blueprint of tightly controlled parameters or in a way in which properties can vary largely from one individual to another, using a database modeling approach. Here, we examine the main conclusion that neural circuits indeed are built with largely varying parameters in the light of our own experimental and modeling observations. We critically discuss the experimental and theoretical evidence, including the general adequacy of database approaches for questions of this kind, and come to the conclusion that the last word for this fundamental question has not yet been spoken.

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Year:  2007        PMID: 17571936     DOI: 10.1162/neco.2007.19.8.1985

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  19 in total

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Review 5.  Facing the challenge of mammalian neural microcircuits: taking a few breaths may help.

Authors:  Jack L Feldman; Kaiwen Kam
Journal:  J Physiol       Date:  2015-01-01       Impact factor: 5.182

6.  Models of electrical activity: calibration and prediction testing on the same cell.

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7.  Many parameter sets in a multicompartment model oscillator are robust to temperature perturbations.

Authors:  Jonathan S Caplan; Alex H Williams; Eve Marder
Journal:  J Neurosci       Date:  2014-04-02       Impact factor: 6.167

Review 8.  Is realistic neuronal modeling realistic?

Authors:  Mara Almog; Alon Korngreen
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

9.  Reliable neuromodulation from circuits with variable underlying structure.

Authors:  Rachel Grashow; Ted Brookings; Eve Marder
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-24       Impact factor: 11.205

10.  Dynamic systems approaches and levels of analysis in the nervous system.

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Journal:  Front Physiol       Date:  2013-02-05       Impact factor: 4.566

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