Literature DB >> 16684970

Understanding consolidation through the architecture of memories.

Edwin M Robertson1, Daniel A Cohen.   

Abstract

Following its encoding, a memory undergoes consolidation. It may be possible to deepen our understanding of the mechanisms supporting consolidation by considering the complex architecture of a memory. Any behavior can be split into multiple components. For example, when learning a new skill we simultaneously learn the movement and the goal of that movement. Each of these components has a distinct representation within a memory. The "off-line" processing of each component may follow different rules, providing an explanation for the variety of performance changes supported by consolidation. By viewing a memory as a representation with multiple components, it is possible to bridge the gap between the behavioral changes, which define consolidation, and the biological mechanisms that support those changes. This is partly because different memory components can be mapped onto different neural circuits. With an increased understanding of consolidation, it may become possible to modulate these off-line processes to improve psychiatric and neurological rehabilitation.

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Year:  2006        PMID: 16684970     DOI: 10.1177/1073858406287935

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  19 in total

1.  Observation learning versus physical practice leads to different consolidation outcomes in a movement timing task.

Authors:  Maxime Trempe; Maxime Sabourin; Hassan Rohbanfard; Luc Proteau
Journal:  Exp Brain Res       Date:  2011-01-30       Impact factor: 1.972

2.  Neural substrates of motor memory consolidation depend on practice structure.

Authors:  Shailesh S Kantak; Katherine J Sullivan; Beth E Fisher; Barbara J Knowlton; Carolee J Winstein
Journal:  Nat Neurosci       Date:  2010-07-11       Impact factor: 24.884

3.  Offline consolidation of procedural skill learning is enhanced by negative emotional content.

Authors:  Amir Homayoun Javadi; Vincent Walsh; Penelope A Lewis
Journal:  Exp Brain Res       Date:  2010-12-01       Impact factor: 1.972

4.  Brain plasticity related to the consolidation of motor sequence learning and motor adaptation.

Authors:  Karen Debas; Julie Carrier; Pierre Orban; Marc Barakat; Ovidiu Lungu; Gilles Vandewalle; Abdallah Hadj Tahar; Pierre Bellec; Avi Karni; Leslie G Ungerleider; Habib Benali; Julien Doyon
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-27       Impact factor: 11.205

5.  Differential contribution of the supplementary motor area to stabilization of a procedural motor skill acquired through different practice schedules.

Authors:  Satoshi Tanaka; Manabu Honda; Takashi Hanakawa; Leonardo G Cohen
Journal:  Cereb Cortex       Date:  2009-12-27       Impact factor: 5.357

6.  Neural substrates of practice structure that support future off-line learning.

Authors:  Nicholas F Wymbs; Scott T Grafton
Journal:  J Neurophysiol       Date:  2009-08-19       Impact factor: 2.714

7.  Computational models of reinforcement learning: the role of dopamine as a reward signal.

Authors:  R D Samson; M J Frank; Jean-Marc Fellous
Journal:  Cogn Neurodyn       Date:  2010-03-21       Impact factor: 5.082

Review 8.  The debate over dopamine's role in reward: the case for incentive salience.

Authors:  Kent C Berridge
Journal:  Psychopharmacology (Berl)       Date:  2006-10-27       Impact factor: 4.530

Review 9.  About sleep's role in memory.

Authors:  Björn Rasch; Jan Born
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

10.  From creation to consolidation: a novel framework for memory processing.

Authors:  Edwin M Robertson
Journal:  PLoS Biol       Date:  2009-01-27       Impact factor: 8.029

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