Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex.

Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex.
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DOI:
10.1038/s41467-018-05873-3
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发表时间:
2018-08-29
影响因子:
16.6
通讯作者:
Kennerley SW
Kennerley SW
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Cavanagh SE;Towers JP;Wallis JD;Hunt LT;Kennerley SW

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竞争的帐户提出,工作记忆(WM)是由单个神经元的持续活动或动态(随时间变化)的活动在整个神经群体。在这里,我们比较了这些假设在四个区域的前额叶皮层(PFC)在一个眼动延迟反应任务,其中一个干预线索表明奖励可用于正确的眼跳。WM代表性最强的腹外侧PFC神经元具有较高的内在时间稳定性(时间常数)。在人口水平上,虽然一个稳定的记忆状态达到延迟期间,这种调整几何形状是相反的相对于线索周期的选择性,并被破坏的奖励线索。单神经元分析显示,许多神经元切换到编码奖励,而不是保持任务相关的空间选择性,直到眼跳。这些结果意味着WM是由高时间常数神经元内的动态群体水平活动实现的。而不是持久的活动,支持稳定的记忆表示,桥梁随后的显着刺激,PFC神经元可能会稳定一个动态的人口水平的过程,支持WM。工作记忆(WM)表现为单个神经元的持续活动以及动态群体代码。在这里,作者发现神经元根据当前注意力灵活地切换其编码,而那些具有稳定静息活动的神经元通过动态活动模式保持WM表征。
Competing accounts propose that working memory (WM) is subserved either by persistent activity in single neurons or by dynamic (time-varying) activity across a neural population. Here, we compare these hypotheses across four regions of prefrontal cortex (PFC) in an oculomotor-delayed-response task, where an intervening cue indicated the reward available for a correct saccade. WM representations were strongest in ventrolateral PFC neurons with higher intrinsic temporal stability (time-constant). At the population-level, although a stable mnemonic state was reached during the delay, this tuning geometry was reversed relative to cue-period selectivity, and was disrupted by the reward cue. Single-neuron analysis revealed many neurons switched to coding reward, rather than maintaining task-relevant spatial selectivity until saccade. These results imply WM is fulfilled by dynamic, population-level activity within high time-constant neurons. Rather than persistent activity supporting stable mnemonic representations that bridge subsequent salient stimuli, PFC neurons may stabilise a dynamic population-level process supporting WM. Working memory (WM) is represented in persistent activity of single neurons as well as a dynamic population code. Here, the authors find that neurons flexibly switch their coding according to current attention while those with stable resting activity maintain WM representations through dynamic activity patterns.
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发表时间: 2007-09-29
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