Neurocomputational models of working memory

被引:532
作者
Durstewitz, Daniel [1 ]
Seamans, Jeremy K. [1 ]
Sejnowski, Terrence J. [1 ,2 ]
机构
[1] Salk Inst Biol Studies, Howard Hughes Med Inst, Computat Neurobiol Lab, La Jolla, CA 92037 USA
[2] Univ Calif San Diego, Dept Biol, La Jolla, CA 92093 USA
关键词
D O I
10.1038/81460
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
During working memory tasks, the firing rates of single neurons recorded in behaving monkeys remain elevated without external cues. Modeling studies have explored different mechanisms that could underlie this selective persistent activity, including recurrent excitation within cell assemblies, synfire chains and single-cell bistability. The models show how sustained activity can be stable in the presence of noise and distractors, how different synaptic and voltage-gated conductances contribute to persistent activity, how neuromodulation could influence its robustness, how completely novel items could be maintained, and how continuous attractor states might be achieved. More work is needed to address the full repertoire of neural dynamics observed during working memory tasks.
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页码:1184 / 1191
页数:8
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