FROST: A distributed neurocomputational model of working memory maintenance
FROST: A distributed neurocomputational model of working memory maintenance
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DOI：
10.1162/089892905774589271
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发表时间：
2005-11-01
影响因子：
3.2
通讯作者：
Casale, MB
中科院分区：
文献类型：
--
作者：
Ashby, FG;Ell, SW;Casale, MB
许多研究表明，工作记忆（WM）维持的持续激活是由一个分布式网络介导的，该网络包括前额叶皮层和其他结构（例如，后顶叶皮质、丘脑、苍白球和尾状核）。提出了一个工作记忆的计算模型FROST（FROntal-Striatal-Thalamic的缩写），它将项目和空间位置的表征编码在外侧前额叶皮层中。在延迟间隔期间，这些前额叶细胞的激活通过平行的前额叶皮质-丘脑回路维持。激活会在这些回路中产生回响，因为前额叶皮层对尾状核头部的兴奋会导致丘脑的去抑制（通过苍白球）。FROST成功地解释了各种WM数据，包括单细胞记录数据和人类行为数据。
Many studies suggest that the sustained activation underlying working memory (WM) maintenance is mediated by a distributed network that includes the prefrontal cortex and other structures (e.g., posterior parietal cortex, thalamus, globus pallidus, and the caudate nucleus). A computational model of WM, called FROST (short for FROntal-Striatal-Thalamic), is proposed in which the representation of items and spatial positions is encoded in the lateral prefrontal cortex. During delay intervals, activation in these prefrontal cells is sustained via parallel, prefrontal cortical-thalamic loops. Activation reverberates in these loops because prefrontal cortical excitation of the head of the caudate nucleus leads to disinhibition of the thalamus (via the globus pallidus). FROST successfully accounts for a wide variety of WM data, including single-cell recording data and human behavioral data.