Cognitive robotics for the modelling of cognitive dysfunctions: A study on unilateral spatial neglect

D. Conti, S. Nuovo, A. D. Nuovo
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引用次数: 1

Abstract

Damage to the posterior parietal cortex (PPC) can cause patients to fail to orient toward, explore, and respond to stimuli on the contralesional side of the space. PPC is thought to play a crucial role in the computation of sensorimotor transformations that is in linking sensation to action. Indeed, this disorder, known as Unilateral Spatial Neglect (USN), can compromise visual, auditory, tactile, and olfactory modalities and may involve personal, extra-personal, and imaginal space [1], [2]. For this reason, USN describes a collection of behavioural symptoms in which patients appear to ignore, forget, or turn away from contralesional space [3]. Given the complexity of the disease and the difficulties to study human patients affected by USN, because of their impairments, several computer simulation studies were carried out via artificial neural networks in which damage to the connection weights was also found to yield neglect-related behaviour [4]-[6].
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认知机器人对认知功能障碍的建模:对单侧空间忽视的研究
后顶叶皮质(PPC)损伤可导致患者无法定位、探索和响应空间对侧的刺激。PPC被认为在连接感觉和行动的感觉运动转换的计算中起着至关重要的作用。事实上,这种被称为单边空间忽视(USN)的障碍会损害视觉、听觉、触觉和嗅觉模式,并可能涉及个人、超个人和想象空间[1],[2]。因此,USN描述了一系列行为症状,其中患者似乎忽视、忘记或远离对侧空间[3]。考虑到疾病的复杂性和研究受USN影响的人类患者的困难,由于他们的损伤,通过人工神经网络进行了一些计算机模拟研究,其中发现连接权值的损伤也会产生忽略相关行为[4]-[6]。
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