神经科学
控制(管理)
认知
心理学
注意力控制
认知心理学
灵长类动物
网络动力学
选择(遗传算法)
认知科学
计算机科学
人工智能
数学
离散数学
作者
Rober Boshra,Sabine Kästner
标识
DOI:10.1016/j.conb.2022.102605
摘要
Attention is fundamental to all cognition. In the primate brain, it is implemented by a large-scale network that consists of areas spanning across all major lobes, also including subcortical regions. Classical attention accounts assume that control over the selection process in this network is exerted by 'top-down' mechanisms in the fronto-parietal cortex that influence sensory representations via feedback signals. More recent studies have expanded this view of attentional control. In this review, we will start from a traditional top-down account of attention control, and then discuss more recent findings on feature-based attention, thalamic influences, temporal network dynamics, and behavioral dynamics that collectively lead to substantial modifications. We outline how the different emerging accounts can be reconciled and integrated into a unified theory.
科研通智能强力驱动
Strongly Powered by AbleSci AI