Literature DB >> 15657596

Coactivation and timing-dependent integration of synaptic potentiation and depression.

Huai-Xing Wang1, Richard C Gerkin, David W Nauen, Guo-Qiang Bi.   

Abstract

Neuronal synaptic connections can be potentiated or depressed by paired pre- and postsynaptic spikes, depending on the spike timing. We show that in cultured rat hippocampal neurons a calcium/calmodulin-dependent protein kinase II (CaMKII)-mediated potentiation process and a calcineurin-mediated depression process can be activated concomitantly by spike triplets or quadruplets. The integration of the two processes critically depends on their activation timing. Depression can cancel previously activated potentiation, whereas potentiation tends to override previously activated depression. The time window for potentiation to dominate is about 70 ms, beyond which the two processes cancel. These results indicate that the signaling machinery underlying spike timing-dependent plasticity (STDP) may be separated into functional modules that are sensitive to the spatiotemporal dynamics (rather than the amount) of calcium influx. The timing dependence of modular interaction provides a quantitative framework for understanding the temporal integration of STDP.

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Year:  2005        PMID: 15657596     DOI: 10.1038/nn1387

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  94 in total

1.  A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.

Authors:  Julijana Gjorgjieva; Claudia Clopath; Juliette Audet; Jean-Pascal Pfister
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-11       Impact factor: 11.205

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

Authors:  Guy Rachmuth; Harel Z Shouval; Mark F Bear; Chi-Sang Poon
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-16       Impact factor: 11.205

3.  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

4.  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

5.  Physical delay but not subjective delay determines learning rate in prism adaptation.

Authors:  Hirokazu Tanaka; Kazuhiro Homma; Hiroshi Imamizu
Journal:  Exp Brain Res       Date:  2010-11-13       Impact factor: 1.972

6.  Spatiotemporal asymmetry of associative synaptic plasticity in fear conditioning pathways.

Authors:  Ryong-Moon Shin; Evgeny Tsvetkov; Vadim Y Bolshakov
Journal:  Neuron       Date:  2006-12-07       Impact factor: 17.173

7.  Self-influencing synaptic plasticity: recurrent changes of synaptic weights can lead to specific functional properties.

Authors:  Minija Tamosiunaite; Bernd Porr; Florentin Wörgötter
Journal:  J Comput Neurosci       Date:  2007-01-30       Impact factor: 1.621

8.  A model for synaptic development regulated by NMDA receptor subunit expression.

Authors:  Shigeru Kubota; Tatsuo Kitajima
Journal:  J Comput Neurosci       Date:  2007-05-22       Impact factor: 1.621

9.  Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity.

Authors:  Mostafa Rahimi Azghadi; Nicolangelo Iannella; Said Al-Sarawi; Derek Abbott
Journal:  PLoS One       Date:  2014-02-13       Impact factor: 3.240

10.  Plasticity between neuronal pairs in layer 4 of visual cortex varies with synapse state.

Authors:  Ignacio Sáez; Michael J Friedlander
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

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