Literature DB >> 11052930

Untangling dendrites with quantitative models.

I Segev1, M London.   

Abstract

Our understanding of the function of dendrites has been greatly enriched by an inspiring dialogue between theory and experiments. Rather than functionally ignoring dendrites, representing neurons as single summing points, we have realized that dendrites are electrically and chemically distributed nonlinear units and that this has important consequences for interpreting experimental data and for the role of neurons in information processing. Here, we examine the route to unraveling some of the enigmas of dendrites and highlight the main insights that have been gained. Future directions are discussed that will enable theory and models to keep shedding light on dendrites, where the most fundamental input-output adaptive processes take place.

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Year:  2000        PMID: 11052930     DOI: 10.1126/science.290.5492.744

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  82 in total

1.  Dendro-dendritic interactions between motion-sensitive large-field neurons in the fly.

Authors:  Juergen Haag; Alexander Borst
Journal:  J Neurosci       Date:  2002-04-15       Impact factor: 6.167

2.  An approach to electrical modeling of single and multiple cells.

Authors:  Thiruvallur R Gowrishankar; James C Weaver
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

3.  The influences of Ih on temporal summation in hippocampal CA1 pyramidal neurons: a modeling study.

Authors:  Adrien E Desjardins; Yue-Xian Li; Stefan Reinker; Robert M Miura; Richard S Neuman
Journal:  J Comput Neurosci       Date:  2003 Sep-Oct       Impact factor: 1.621

4.  Active dendrites and spike propagation in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons.

Authors:  F Saraga; C P Wu; L Zhang; F K Skinner
Journal:  J Physiol       Date:  2003-08-15       Impact factor: 5.182

5.  Precision of neural timing: effects of convergence and time-windowing.

Authors:  Michael C Reed; Jacob J Blum; Colleen C Mitchell
Journal:  J Comput Neurosci       Date:  2002 Jul-Aug       Impact factor: 1.621

6.  Semi-automatic quantification of neurite fasciculation in high-density neurite images by the neurite directional distribution analysis (NDDA).

Authors:  Amy M Hopkins; Brandon Wheeler; Cristian Staii; David L Kaplan; Timothy J Atherton
Journal:  J Neurosci Methods       Date:  2014-03-25       Impact factor: 2.390

Review 7.  Dendrite and spine modifications in autism and related neurodevelopmental disorders in patients and animal models.

Authors:  Verónica Martínez-Cerdeño
Journal:  Dev Neurobiol       Date:  2016-08-30       Impact factor: 3.964

Review 8.  Dendritic vulnerability in neurodegenerative disease: insights from analyses of cortical pyramidal neurons in transgenic mouse models.

Authors:  Jennifer I Luebke; Christina M Weaver; Anne B Rocher; Alfredo Rodriguez; Johanna L Crimins; Dara L Dickstein; Susan L Wearne; Patrick R Hof
Journal:  Brain Struct Funct       Date:  2010-02-24       Impact factor: 3.270

9.  A biopolymer transistor: electrical amplification by microtubules.

Authors:  Avner Priel; Arnolt J Ramos; Jack A Tuszynski; Horacio F Cantiello
Journal:  Biophys J       Date:  2006-03-24       Impact factor: 4.033

10.  Reversed somatodendritic I(h) gradient in a class of rat hippocampal neurons with pyramidal morphology.

Authors:  James B Bullis; Terrance D Jones; Nicholas P Poolos
Journal:  J Physiol       Date:  2006-12-21       Impact factor: 5.182

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