Literature DB >> 30053951

Inconvenient Truth to Principle of Neuroscience.

Ronald L Calabrese1.   

Abstract

In 2004, Prinz et al. demonstrated that almost indistinguishable network activity can arise from widely different sets of underlying membrane and synaptic parameters, and, thus, likely arise from different cellular and network mechanisms. This now broadly accepted principle guides research into individual variation in neuronal and synaptic properties, and their homeostatic regulation.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  conductance parameter sets; homeostasis; network stability; neuronal models

Year:  2018        PMID: 30053951      PMCID: PMC6065260          DOI: 10.1016/j.tins.2018.05.006

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  15 in total

1.  Activity-dependent regulation of potassium currents in an identified neuron of the stomatogastric ganglion of the crab Cancer borealis.

Authors:  J Golowasch; L F Abbott; E Marder
Journal:  J Neurosci       Date:  1999-10-15       Impact factor: 6.167

2.  Failure of averaging in the construction of a conductance-based neuron model.

Authors:  Jorge Golowasch; Mark S Goldman; L F Abbott; Eve Marder
Journal:  J Neurophysiol       Date:  2002-02       Impact factor: 2.714

Review 3.  Modeling stability in neuron and network function: the role of activity in homeostasis.

Authors:  Eve Marder; Astrid A Prinz
Journal:  Bioessays       Date:  2002-12       Impact factor: 4.345

4.  Ca²⁺/cAMP-sensitive covariation of I(A) and I(H) voltage dependences tunes rebound firing in dopaminergic neurons.

Authors:  Julien Amendola; Adele Woodhouse; Marie-France Martin-Eauclaire; Jean-Marc Goaillard
Journal:  J Neurosci       Date:  2012-02-08       Impact factor: 6.167

5.  Similar network activity from disparate circuit parameters.

Authors:  Astrid A Prinz; Dirk Bucher; Eve Marder
Journal:  Nat Neurosci       Date:  2004-11-21       Impact factor: 24.884

6.  Quantitative expression profiling of identified neurons reveals cell-specific constraints on highly variable levels of gene expression.

Authors:  David J Schulz; Jean-Marc Goaillard; Eve E Marder
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-25       Impact factor: 11.205

7.  Correlations in ion channel expression emerge from homeostatic tuning rules.

Authors:  Timothy O'Leary; Alex H Williams; Jonathan S Caplan; Eve Marder
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-24       Impact factor: 11.205

8.  Selective regulation of current densities underlies spontaneous changes in the activity of cultured neurons.

Authors:  G Turrigiano; G LeMasson; E Marder
Journal:  J Neurosci       Date:  1995-05       Impact factor: 6.167

9.  Functional consequences of animal-to-animal variation in circuit parameters.

Authors:  Jean-Marc Goaillard; Adam L Taylor; David J Schulz; Eve Marder
Journal:  Nat Neurosci       Date:  2009-10-18       Impact factor: 24.884

10.  Output variability across animals and levels in a motor system.

Authors:  Angela Wenning; Brian J Norris; Cengiz Günay; Daniel Kueh; Ronald L Calabrese
Journal:  Elife       Date:  2018-01-18       Impact factor: 8.140

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  2 in total

1.  Visualization of currents in neural models with similar behavior and different conductance densities.

Authors:  Leandro M Alonso; Eve Marder
Journal:  Elife       Date:  2019-01-31       Impact factor: 8.140

2.  Network architectures supporting learnability.

Authors:  Perry Zurn; Danielle S Bassett
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-02-24       Impact factor: 6.237

  2 in total

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