Networks of neurons, networks of genes: An integrated view of memory consolidation

被引:125
|
作者
Miyashita, Teiko [1 ,2 ]
Kubik, Stepan [1 ,2 ,3 ]
Lewandowski, Gail [4 ]
Guzowski, John F. [1 ,2 ]
机构
[1] Univ Calif Irvine, Dept Neurobiol & Behav, Irvine, CA 92697 USA
[2] Univ Calif Irvine, Ctr Neurobiol Learning & Memory, Irvine, CA 92697 USA
[3] Acad Sci Czech Republ, Inst Physiol, Dept Neurophysiol Memory, Prague, Czech Republic
[4] Univ Calif Irvine, Reeve Irvine Res Ctr, Irvine, CA 92697 USA
关键词
hippocampus; Arc; immediate-early gene; memory; learning; protein synthesis; neocortex; LTP; synaptic plasticity;
D O I
10.1016/j.nlm.2007.08.012
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Investigations into the mechanisms of memory formation have abided by the central tenet of the consolidation theory-that memory formation occurs in stages which differ in their requirement for protein synthesis. The current most widely accepted hypothesis posits that new memories are encoded as neural activity-induced changes in synaptic efficacy, and stabilization of these changes requires de novo protein synthesis. However, the basic assumptions of this view have been challenged by concerns regarding the specificity of the effects of the protein synthesis inhibitors used to support the claim. Studies on immediate-early genes (IEGs), in particular Arc, provide a distinct and independent perspective on the issue of the requirement of new protein synthesis in synaptic plasticity and memory consolidation. The IEG Arc and its protein are dynamically induced in response to neuronal activity, and are directly involved in synaptic plasticity and memory consolidation. Although we provide extensive data on Arc's properties to address the requirement of genomic and proteomic responses in memory formation, Arc is merely one element in a network of genes that interact in a coordinated fashion to serve memory consolidation. From gene expression and other studies, we propose the view that the stabilization of a memory trace is a continuous and ongoing process, which does not have a discrete endpoint and cannot be reduced to a single deterministic "molecular cascade". Rather, memory traces are maintained within metastable networks, which must integrate and update past traces with new ones. Such an updating process may well recruit and use many of the plasticity mechanisms necessary for the initial encoding of memory. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:269 / 284
页数:16
相关论文
共 50 条
  • [21] Short-Term Memory in Networks of Dissociated Cortical Neurons
    Dranias, Mark R.
    Ju, Han
    Rajaram, Ezhilarasan
    VanDongen, Antonius M. J.
    JOURNAL OF NEUROSCIENCE, 2013, 33 (05): : 1940 - 1953
  • [22] Learning beyond finite memory in recurrent networks of spiking neurons
    Tino, P
    Mills, AJS
    NEURAL COMPUTATION, 2006, 18 (03) : 591 - 613
  • [23] THE DIVIDED FLASH MEMORY DEVICE FOR IMPLEMENTING NEURONS AND NEURAL NETWORKS
    Khan, Shahriar
    2013 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV), 2013,
  • [24] Dynamics analysis and analog associative memory of networks with LT neurons
    Tang, HJ
    Tan, KC
    Teoh, EJ
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2006, 17 (02): : 409 - 418
  • [25] Spatiotemporal Memory Is an Intrinsic Property of Networks of Dissociated Cortical Neurons
    Ju, Han
    Dranias, Mark R.
    Banumurthy, Gokulakrishna
    VanDongen, Antonius M. J.
    JOURNAL OF NEUROSCIENCE, 2015, 35 (09): : 4040 - 4051
  • [26] Learning beyond finite memory in recurrent networks of spiking neurons
    Tino, P
    Mills, A
    ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS, 2005, 3611 : 666 - 675
  • [27] Networks of neurons
    不详
    CURRENT BIOLOGY, 1999, 9 (19) : R714 - R714
  • [29] LONG SHORT TERM MEMORY NETWORKS FOR LIGHT FIELD VIEW SYNTHESIS
    Hog, Matthieu
    Sabater, Neus
    Guillemot, Christine
    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 724 - 728
  • [30] STDP Forms Associations between Memory Traces in Networks of Spiking Neurons
    Pokorny, Christoph
    Ison, Matias J.
    Rao, Arjun
    Legenstein, Robert
    Papadimitriou, Christos
    Maass, Wolfgang
    CEREBRAL CORTEX, 2020, 30 (03) : 952 - 968