Literature DB >> 15759002

Spike-timing-dependent synaptic plasticity depends on dendritic location.

Robert C Froemke1, Mu-Ming Poo, Yang Dan.   

Abstract

In the neocortex, each neuron receives thousands of synaptic inputs distributed across an extensive dendritic tree. Although postsynaptic processing of each input is known to depend on its dendritic location, it is unclear whether activity-dependent synaptic modification is also location-dependent. Here we report that both the magnitude and the temporal specificity of spike-timing-dependent synaptic modification vary along the apical dendrite of rat cortical layer 2/3 pyramidal neurons. At the distal dendrite, the magnitude of long-term potentiation is smaller, and the window of pre-/postsynaptic spike interval for long-term depression (LTD) is broader. The spike-timing window for LTD correlates with the window of action potential-induced suppression of NMDA (N-methyl-D-aspartate) receptors; this correlation applies to both their dendritic location-dependence and pharmacological properties. Presynaptic stimulation with partial blockade of NMDA receptors induced LTD and occluded further induction of spike-timing-dependent LTD, suggesting that NMDA receptor suppression underlies LTD induction. Computer simulation studies showed that the dendritic inhomogeneity of spike-timing-dependent synaptic modification leads to differential input selection at distal and proximal dendrites according to the temporal characteristics of presynaptic spike trains. Such location-dependent tuning of inputs, together with the dendritic heterogeneity of postsynaptic processing, could enhance the computational capacity of cortical pyramidal neurons.

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Year:  2005        PMID: 15759002     DOI: 10.1038/nature03366

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  157 in total

1.  A biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity.

Authors:  Guy Rachmuth; Harel Z Shouval; Mark F Bear; Chi-Sang Poon
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2.  Learning complex temporal patterns with resource-dependent spike timing-dependent plasticity.

Authors:  Jason F Hunzinger; Victor H Chan; Robert C Froemke
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

3.  Astrocyte signaling controls spike timing-dependent depression at neocortical synapses.

Authors:  Rogier Min; Thomas Nevian
Journal:  Nat Neurosci       Date:  2012-03-25       Impact factor: 24.884

4.  Measuring action potential-evoked transmission at individual synaptic contacts.

Authors:  David W Nauen; Guo-Qiang Bi
Journal:  J Neural Eng       Date:  2012-06       Impact factor: 5.379

Review 5.  Ras and Rap signaling in synaptic plasticity and mental disorders.

Authors:  Ruth L Stornetta; J Julius Zhu
Journal:  Neuroscientist       Date:  2010-04-29       Impact factor: 7.519

6.  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

7.  Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity.

Authors:  Prashanth D'Souza; Shih-Chii Liu; Richard H R Hahnloser
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-18       Impact factor: 11.205

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.  Spike-timing-dependent plasticity in hippocampal CA3 neurons.

Authors:  S Astori; V Pawlak; G Köhr
Journal:  J Physiol       Date:  2010-09-27       Impact factor: 5.182

Review 10.  Synapse-type-specific plasticity in local circuits.

Authors:  Rylan S Larsen; P Jesper Sjöström
Journal:  Curr Opin Neurobiol       Date:  2015-08-25       Impact factor: 6.627

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