Spike timing-dependent plasticity as the origin of the formation of clustered synaptic efficacy engrams

被引:16
|
作者
Iannella, Nicolangelo Libero [1 ,2 ,3 ]
Launey, Thomas [1 ]
Tanaka, Shigeru [4 ]
机构
[1] RIKEN Brain Sci Inst, Launey Res Unit Mol Neurocybernet, Wako, Saitama 3510198, Japan
[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA, Australia
[3] Okinawa Inst Sci & Technol, Theoret & Expt Neurobiol Unit, Okinawa, Japan
[4] Univ Electrocommun, Dept Informat & Commun Engn, Chofu, Tokyo 182, Japan
关键词
NEOCORTICAL PYRAMIDAL NEURONS; CALCIUM SPIKES; MODEL; CHANNELS; INITIATION; DENDRITES; CURRENTS; CELL;
D O I
10.3389/fncom.2010.00021
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Synapse location, dendritic active properties and synaptic plasticity are all known to play some role in shaping the different input streams impinging onto a neuron. It remains unclear however, how the magnitude and spatial distribution of synaptic efficacies emerge from this interplay. Here, we investigate this interplay using a biophysically detailed neuron model of a reconstructed layer 2/3 pyramidal cell and spike timing-dependent plasticity (STDP). Specifically, we focus on the issue of how the efficacy of synapses contributed by different input streams are spatially represented in dendrites after STDP learning. We construct a simple feed forward network where a detailed model neuron receives synaptic inputs independently from multiple yet equally sized groups of afferent fibers with correlated activity, mimicking the spike activity from different neuronal populations encoding, for example, different sensory modalities. Interestingly, ensuing STDP learning, we observe that for all afferent groups, STDP leads to synaptic efficacies arranged into spatially segregated clusters effectively partitioning the dendritic tree. These segregated clusters possess a characteristic global organization in space, where they form a tessellation in which each group dominates mutually exclusive regions of the dendrite. Put simply, the dendritic imprint from different input streams left after STDP learning effectively forms what we term a "dendritic efficacy mosaic" Furthermore, we show how variations of the inputs and STDP rule affect such an organization. Our model suggests that STDP may be an important mechanism for creating a clustered plasticity engram, which shapes how different input streams are spatially represented in dendrite. © 2010 Iannella, Launey and Tanaka.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Spike timing-dependent plasticity as the origin of the formation of clustered synaptic efficacy engrams
    Iannella, Nicolangelo Libero
    Launey, Thomas
    Tanaka, Shigeru
    Frontiers in Computational Neuroscience, 2010, 4 (JUL):
  • [2] Determinants of spike timing-dependent synaptic plasticity
    Stuart, GJ
    NEURON, 2001, 32 (06) : 966 - 968
  • [3] Does spike timing-dependent synaptic plasticity underlie memory formation?
    Letzkus, Johannes J.
    Kampa, Bjorn M.
    Stuart, Greg J.
    CLINICAL AND EXPERIMENTAL PHARMACOLOGY AND PHYSIOLOGY, 2007, 34 (10) : 1070 - 1076
  • [4] Temporal asymmetry in spike timing-dependent synaptic plasticity
    Bi, GQ
    Wang, HX
    PHYSIOLOGY & BEHAVIOR, 2002, 77 (4-5) : 551 - 555
  • [5] Reinforcement learning with modulated spike timing-dependent synaptic plasticity
    Farries, Michael A.
    Fairhall, Adrienne L.
    JOURNAL OF NEUROPHYSIOLOGY, 2007, 98 (06) : 3648 - 3665
  • [6] Synchronization enhances synaptic efficacy through spike timing-dependent plasticity in the olfactory system
    Lin, Xiaobin
    De Wilde, Philippe
    NEUROCOMPUTING, 2009, 73 (1-3) : 381 - 388
  • [7] Spike timing-dependent synaptic plasticity in visual cortex: A modeling study
    Shen, YS
    Gao, HF
    Yao, HS
    JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2005, 18 (01) : 25 - 39
  • [8] Calcium and Spike Timing-Dependent Plasticity
    Inglebert, Yanis
    Debanne, Dominique
    FRONTIERS IN CELLULAR NEUROSCIENCE, 2021, 15
  • [9] Equalization of synaptic efficacy by activity- and timing-dependent synaptic plasticity
    Rumsey, CC
    Abbott, LF
    JOURNAL OF NEUROPHYSIOLOGY, 2004, 91 (05) : 2273 - 2280
  • [10] Spike Timing-Dependent Synaptic Plasticity in Visual Cortex: A Modeling Study
    Yao-Song Shen
    Hongfeng Gao
    Haishan Yao
    Journal of Computational Neuroscience, 2005, 18 : 25 - 39