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首页> 外文期刊>The European Journal of Neuroscience >Modular biased-competition and cooperation: a candidate mechanism for selective working memory.
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Modular biased-competition and cooperation: a candidate mechanism for selective working memory.

机译：模块化有偏竞争与合作：选择性工作记忆的候选机制。

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Abstract Prefrontal cortex (PFC) has been suggested to play an important role in executive cognitive functions, participating in planning and controlling behaviour. The results of several recent electrophysiological studies indicate that PFC might be involved not only in the active maintenance of information but in doing so in a context- or task-dependent manner. In a delayed-match-to-sample paradigm, recordings from neurons in the PFC showed their ability to selectively represent information, which is needed for task completion, suggesting that task-irrelevant information does not access working memory. We present a neurodynamical computational model of a part of the PFC to account for the selective representation of information in working memory. We show that a network of biological realistic integrate-and-fire excitatory and inhibitory neurons, implementing the mechanisms of local or modular biased-competition, which is transmitted through cooperation to different subsets of neuronal pools, can explain the formation of selective context-dependent working memory. The modes of operation of the network are characterized and the corresponding parameter settings revealed. Modular competition and cooperation might constitute general mechanisms for implementing context-dependent formation of working memory.
机译：摘要前额叶皮层（PFC）已被认为在执行者的认知功能，计划和控制行为中起着重要作用。最近几项电生理研究的结果表明，PFC可能不仅涉及信息的主动维护，而且还涉及上下文或任务相关的方式。在延迟匹配样本范式中，PFC中神经元的记录显示了它们有选择地表示信息的能力，这是完成任务所必需的，这表明与任务无关的信息无法访问工作记忆。我们提出了PFC的一部分的神经动力学计算模型，以说明工作记忆中信息的选择性表示。我们表明，生物现实的整合和解雇兴奋性和抑制性神经元的网络，实现局部或模块化的有偏竞争的机制，通过合作传播到神经元池的不同子集，可以解释选择性的上下文相关的形成工作记忆。表征网络的运行模式并显示相应的参数设置。模块化的竞争与合作可能会构成用于实现与情境有关的工作记忆形成的一般机制。

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