The spectro-contextual encoding and retrieval theory of episodic memory

被引:72
|
作者
Watrous, Andrew J. [1 ,2 ]
Ekstrom, Arne D. [1 ,3 ,4 ]
机构
[1] Univ Calif Davis, Ctr Neurosci, Davis, CA 95618 USA
[2] Univ Bonn, Bonn, Germany
[3] Univ Calif Davis, Neurosci Grad Grp, Davis, CA 95618 USA
[4] Univ Calif Davis, Dept Psychol, Davis, CA 95618 USA
来源
关键词
hippocampus; oscillations; cell assembly; neocortex; phase-synchronization; cross-frequency coupling; context reinstatement; episodic memory; MEDIAL TEMPORAL-LOBE; LONG-TERM POTENTIATION; HIPPOCAMPAL THETA-RHYTHM; COMPLEMENTARY-LEARNING-SYSTEMS; HUMAN NEOCORTICAL OSCILLATIONS; TIMING-DEPENDENT PLASTICITY; LOW-FREQUENCY OSCILLATIONS; HUMAN SPATIAL NAVIGATION; LOCAL-FIELD POTENTIALS; SINGLE-NEURON ACTIVITY;
D O I
10.3389/fnhum.2014.00075
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The spectral fingerprint hypothesis, which posits that different frequencies of oscillations underlie different cognitive operations, provides one account for how interactions between brain regions support perceptual and attentive processes (Siegel et al., 2012). Here, we explore and extend this idea to the domain of human episodic memory encoding and retrieval. Incorporating findings from the synaptic to cognitive levels of organization, we argue that spectrally precise cross-frequency coupling and phase-synchronization promote the formation of hippocampal-neocortical cell assemblies that form the basis for episodic memory. We suggest that both cell assembly firing patterns as well as the global pattern of brain oscillatory activity within hippocampal-neocortical networks represents the contents of a particular memory. Drawing upon the ideas of context reinstatement and multiple trace theory, we argue that memory retrieval is driven by internal and/or external factors which recreate these frequency-specific oscillatory patterns which occur during episodic encoding. These ideas are synthesized into a novel model of episodic memory (the spectro-contextual encoding and retrieval theory, or "SCERT") that provides several testable predictions for future research.
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收藏
页数:15
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