Literature DB >> 18391179

Dendritic excitability and synaptic plasticity.

P Jesper Sjöström1, Ede A Rancz, Arnd Roth, Michael Häusser.   

Abstract

Most synaptic inputs are made onto the dendritic tree. Recent work has shown that dendrites play an active role in transforming synaptic input into neuronal output and in defining the relationships between active synapses. In this review, we discuss how these dendritic properties influence the rules governing the induction of synaptic plasticity. We argue that the location of synapses in the dendritic tree, and the type of dendritic excitability associated with each synapse, play decisive roles in determining the plastic properties of that synapse. Furthermore, since the electrical properties of the dendritic tree are not static, but can be altered by neuromodulators and by synaptic activity itself, we discuss how learning rules may be dynamically shaped by tuning dendritic function. We conclude by describing how this reciprocal relationship between plasticity of dendritic excitability and synaptic plasticity has changed our view of information processing and memory storage in neuronal networks.

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Mesh:

Year:  2008        PMID: 18391179     DOI: 10.1152/physrev.00016.2007

Source DB:  PubMed          Journal:  Physiol Rev        ISSN: 0031-9333            Impact factor:   37.312


  262 in total

1.  Addition of glutamate to serum-free culture promotes recovery of electrical activity in adult hippocampal neurons in vitro.

Authors:  Darin Edwards; Mainak Das; Peter Molnar; James J Hickman
Journal:  J Neurosci Methods       Date:  2010-05-07       Impact factor: 2.390

2.  Dopamine modulates synaptic plasticity in dendrites of rat and human dentate granule cells.

Authors:  Trevor J Hamilton; B Matthew Wheatley; D Barry Sinclair; Madeline Bachmann; Matthew E Larkum; William F Colmers
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-04       Impact factor: 11.205

3.  Postsynaptic degeneration as revealed by PSD-95 reduction occurs after advanced Aβ and tau pathology in transgenic mouse models of Alzheimer's disease.

Authors:  Charles Y Shao; Suzanne S Mirra; Hameetha B R Sait; Todd C Sacktor; Einar M Sigurdsson
Journal:  Acta Neuropathol       Date:  2011-06-01       Impact factor: 17.088

4.  Interactions between focused synaptic inputs and diffuse neuromodulation in the spinal cord.

Authors:  M D Johnson; C J Heckman
Journal:  Ann N Y Acad Sci       Date:  2010-06       Impact factor: 5.691

5.  The effect of dendritic voltage-gated conductances on the neuronal impedance: a quantitative model.

Authors:  Szabolcs Káli; Rita Zemankovics
Journal:  J Comput Neurosci       Date:  2012-02-17       Impact factor: 1.621

Review 6.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

7.  Experimental and computational aspects of signaling mechanisms of spike-timing-dependent plasticity.

Authors:  Hidetoshi Urakubo; Minoru Honda; Keiko Tanaka; Shinya Kuroda
Journal:  HFSP J       Date:  2009-06-03

8.  The h current is a candidate mechanism for regulating the sliding modification threshold in a BCM-like synaptic learning rule.

Authors:  Rishikesh Narayanan; Daniel Johnston
Journal:  J Neurophysiol       Date:  2010-06-16       Impact factor: 2.714

9.  Distinct coincidence detectors govern the corticostriatal spike timing-dependent plasticity.

Authors:  Elodie Fino; Vincent Paille; Yihui Cui; Teresa Morera-Herreras; Jean-Michel Deniau; Laurent Venance
Journal:  J Physiol       Date:  2010-07-05       Impact factor: 5.182

10.  Pyramidal neuron conductance state gates spike-timing-dependent plasticity.

Authors:  Jary Y Delgado; José F Gómez-González; Niraj S Desai
Journal:  J Neurosci       Date:  2010-11-24       Impact factor: 6.167

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