Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation

被引:30
作者
Tetzlaff, Christian [1 ,2 ,3 ]
Kolodziejski, Christoph [2 ,3 ,4 ]
Timme, Marc [2 ,3 ,4 ]
Tsodyks, Misha [5 ]
Woergoetter, Florentin [1 ,3 ]
机构
[1] Univ Gottingen, Fac Phys Biophys, D-37073 Gottingen, Germany
[2] Max Planck Inst Dynam & Self Org, Network Dynam Grp, Gottingen, Germany
[3] Univ Gottingen, Bernstein Ctr Computat Neurosci, D-37073 Gottingen, Germany
[4] Univ Gottingen, Fac Phys Nonlinear Dynam, D-37073 Gottingen, Germany
[5] Weizmann Inst Sci, Dept Neurobiol, IL-76100 Rehovot, Israel
关键词
CELL-ASSEMBLY THEORY; NEURAL-NETWORKS; NMDA RECEPTOR; SPIKE PATTERN; PLASTICITY; CONSOLIDATION; RECONSOLIDATION; MODEL; REINFORCEMENT; SYSTEMS;
D O I
10.1371/journal.pcbi.1003307
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term synaptic potentiation, to days, for memory consolidation. During such processes, neural circuits distinguish synapses relevant for forming a long-term storage, which are consolidated, from synapses of short-term storage, which fade. How time scale integration and synaptic differentiation is simultaneously achieved remains unclear. Here we show that synaptic scaling - a slow process usually associated with the maintenance of activity homeostasis - combined with synaptic plasticity may simultaneously achieve both, thereby providing a natural separation of short-from long-term storage. The interaction between plasticity and scaling provides also an explanation for an established paradox where memory consolidation critically depends on the exact order of learning and recall. These results indicate that scaling may be fundamental for stabilizing memories, providing a dynamic link between early and late memory formation processes.
引用
收藏
页数:12
相关论文
共 91 条
[1]   The role of reconsolidation and the dynamic process of long-term memory formation and storage [J].
Alberini, Cristina M. .
FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2011, 5
[2]   MEMORY CONSOLIDATION AND THE MEDIAL TEMPORAL-LOBE - A SIMPLE NETWORK MODEL [J].
ALVAREZ, P ;
SQUIRE, LR .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1994, 91 (15) :7041-7045
[3]   A synaptic reinforcement-based model for transient amnesia following disruptions of memory consolidation and reconsolidation [J].
Amaral, Olavo B. ;
Osan, Remus ;
Roesler, Rafael ;
Tort, Adriano B. L. .
HIPPOCAMPUS, 2008, 18 (06) :584-601
[4]   DYNAMICS OF PATTERN FORMATION IN LATERAL-INHIBITION TYPE NEURAL FIELDS [J].
AMARI, SI .
BIOLOGICAL CYBERNETICS, 1977, 27 (02) :77-87
[5]   QUANTITATIVE STUDY OF ATTRACTOR NEURAL NETWORK RETRIEVING AT LOW SPIKE RATES .1. SUBSTRATE SPIKES, RATES AND NEURONAL GAIN [J].
AMIT, DJ ;
TSODYKS, MV .
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 1991, 2 (03) :259-273
[6]  
Anderson J., 1972, AAAS S
[7]   Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex? [J].
Barbieri, Francesca ;
Brunel, Nicolas .
FRONTIERS IN NEUROSCIENCE, 2008, 2 (01) :114-122
[8]   State Based Model of Long-Term Potentiation and Synaptic Tagging and Capture [J].
Barrett, Adam B. ;
Billings, Guy O. ;
Morris, Richard G. M. ;
van Rossum, Mark C. W. .
PLOS COMPUTATIONAL BIOLOGY, 2009, 5 (01)
[9]   Discrete Neocortical Dynamics Predict Behavioral Categorization of Sounds [J].
Bathellier, Brice ;
Ushakova, Lyubov ;
Rumpel, Simon .
NEURON, 2012, 76 (02) :435-449
[10]   Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type [J].
Bi, GQ ;
Poo, MM .
JOURNAL OF NEUROSCIENCE, 1998, 18 (24) :10464-10472