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使用具有生物学合理性的神经模型来明确视觉搜索的功能和神经机制。

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

作者信息

Humphreys Glyn W, Allen Harriet A, Mavritsaki Eirini

机构信息

Behavioural Brain Sciences, School of Psychology, University of Birmingham, Birmingham, UK.

出版信息

Prog Brain Res. 2009;176:135-48. doi: 10.1016/S0079-6123(09)17609-4.

Abstract

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.

摘要

我们回顾了来自我们实验室的研究,该研究试图利用来自正常参与者的实验研究、脑损伤患者的神经心理学研究、功能性脑成像和计算建模的汇聚性跨学科证据,剖析视觉搜索的功能和神经机制。这项工作表明,搜索由支持目标刺激选择的兴奋性机制和抑制无关干扰物的抑制性机制所决定。这些机制通过可分离但重叠的神经回路运行,这些神经回路可以通过对脑成像数据进行基于模型的分析在功能上进行分解。本章强调了跨学科研究对于在多个层面理解复杂认知过程的必要性。

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