Development of a neuronal causal model for mechanisms underlying goal activation processes in 'multitasking'.

开发“多任务处理”中目标激活过程的神经因果模型。

• 批准号: 268448081
• 负责人: Professor Dr. Christian Beste
• 金额: --
• 依托单位: Lehrstuhl für Biopsychologie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2016-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/268448081?language=en
• 关键词: Development; neuronal; causal; model; mechanisms

"Multitasking" and cascading of actions play an important role in daily life and is one of the major research areas in general psychology and biological psychology since decades. Despite of this, the neuronal mechanisms mediating these processes are not fully understood. This may be due to correlative nature of studies examining neuronal processes. This project aims to elucidate causal neuronal mechanisms underlying action cascading processes. This is done on a neuroanatomical and neurobiochemical basis in animals. In these experiments the precise neuroanatomical structures important for these processes will be identified using a "molecular Imaging" approach. In a subsequent step, neural transmission in the regions will be manipulated in a pharmacological approach targeting GABA-A, dopamine D1 and D2 receptors. The results of these studies will allow a causal interpretation of the relative relevance of circumscribed neuroanatomical regions and of GABA-A, dopamine D1 and D2 receptors in the basal ganglia. In the sense of a causal model this, research will broaden the mechanistic knowledge of neuronal mechanisms underlying action cascading processes.

“多任务”和一连串的行动在日常生活中起着重要的作用，几十年来一直是普通心理学和生物心理学的主要研究领域之一。尽管如此，介导这些过程的神经元机制尚未完全理解。这可能是由于检查神经元过程的研究的相关性。这个项目的目的是阐明因果神经机制的行动级联过程。这是在动物的神经解剖学和神经生物化学基础上进行的。在这些实验中，将使用“分子成像”方法来识别对这些过程重要的精确神经解剖结构。在随后的步骤中，将以靶向GABA-A、多巴胺D1和D2受体的药理学方法操纵这些区域的神经传递。这些研究的结果将允许一个因果关系的解释的相对相关性的限制性神经解剖区域和GABA-A，多巴胺D1和D2受体在基底神经节。在因果模型的意义上，研究将拓宽神经元机制的基本动作级联过程的机械知识。

项目成果

RETRACTED: How birds outperform humans in multi-component behavior

撤回：鸟类如何在多成分行为中胜过人类

• DOI: 10.1016/j.cub.2017.07.056
• 发表时间: 2017
• 期刊: Current Biology
• 影响因子: 9.2
• 作者: Letzner S;Güntürkün O;Beste C
• 通讯作者: Beste C