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Using biologically plausible neural models to specify the functional and neural mechanisms of visual search.

机译:使用生物学上合理的神经模型来指定视觉搜索的功能和神经机制。

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We review research from our laboratory that attempts to pull apart the functional and neural mechanisms of visual search using converging, inter-disciplinary evidence from experimental studies with normal participants, neuropsychological studies with brain lesioned patients, functional brain imaging and computational modelling. The work suggests that search is determined by excitatory mechanisms that support the selection of target stimuli, and inhibitory mechanisms that suppress irrelevant distractors. These mechanisms operate through separable though overlapping neural circuits which can be functionally decomposed by imposing model-based analyses on brain imaging data. The chapter highlights the need for inter-disciplinary research for understanding complex cognitive processes at several levels.
机译:我们回顾了我们实验室的研究,这些研究试图利用来自正常参与者的实验研究,针对脑损伤患者的神经心理学研究,功能性脑成像和计算模型的融合,跨学科证据,来分解视觉搜索的功能和神经机制。这项工作表明,搜索是由支持靶刺激选择的兴奋性机制和抑制无关的干扰物的抑制机制决定的。这些机制通过可分离但重叠的神经回路进行操作,这些回路可以通过对大脑成像数据进行基于模型的分析而在功能上分解。本章重点介绍了跨学科研究的需要,以便从多个层面理解复杂的认知过程。

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