Grossberg Stephen
Center for Adaptive Systems, Graduate Program in Cognitive and Neural Systems, Departments of Mathematics & Statistics, Psychological & Brain Sciences, Biomedical Engineering, Boston University, Boston, MA, USA.
Brain Neurosci Adv. 2018 May 8;2:2398212818772179. doi: 10.1177/2398212818772179. eCollection 2018 Jan-Dec.
The prefrontal cortices play an essential role in cognitive-emotional and working memory processes through interactions with multiple brain regions.
This article further develops a unified neural architecture that explains many recent and classical data about prefrontal function and makes testable predictions.
Prefrontal properties of desirability, availability, credit assignment, category learning, and feature-based attention are explained. These properties arise through interactions of orbitofrontal, ventrolateral prefrontal, and dorsolateral prefrontal cortices with the inferotemporal cortex, perirhinal cortex, parahippocampal cortices; ventral bank of the principal sulcus, ventral prearcuate gyrus, frontal eye fields, hippocampus, amygdala, basal ganglia, hypothalamus, and visual cortical areas V1, V2, V3A, V4, middle temporal cortex, medial superior temporal area, lateral intraparietal cortex, and posterior parietal cortex. Model explanations also include how the value of visual objects and events is computed, which objects and events cause desired consequences and which may be ignored as predictively irrelevant, and how to plan and act to realise these consequences, including how to selectively filter expected versus unexpected events, leading to movements towards, and conscious perception of, expected events. Modelled processes include reinforcement learning and incentive motivational learning; object and spatial working memory dynamics; and category learning, including the learning of object categories, value categories, object-value categories, and sequence categories, or list chunks.
This article hereby proposes a unified neural theory of prefrontal cortex and its functions.
前额叶皮质通过与多个脑区的相互作用,在认知 - 情感和工作记忆过程中发挥着至关重要的作用。
本文进一步发展了一种统一的神经架构,该架构解释了许多关于前额叶功能的近期和经典数据,并做出了可检验的预测。
解释了前额叶的期望性、可得性、信用分配、类别学习和基于特征的注意力等特性。这些特性通过眶额皮质、腹外侧前额叶皮质和背外侧前额叶皮质与颞下回皮质、嗅周皮质、海马旁皮质;中央沟腹侧、腹侧弓状回、额叶眼区、海马、杏仁核、基底神经节、下丘脑以及视觉皮质区域V1、V2、V3A、V4、颞中皮质、颞上内侧区、顶内沟外侧皮质和顶叶后皮质的相互作用而产生。模型解释还包括视觉对象和事件的价值是如何计算的,哪些对象和事件会导致期望的结果,哪些可能因预测无关而被忽略,以及如何计划和行动以实现这些结果,包括如何选择性地过滤预期与意外事件,从而导致朝着预期事件的运动以及对预期事件的有意识感知。模拟过程包括强化学习和激励动机学习;对象和空间工作记忆动态;以及类别学习,包括对象类别、价值类别、对象 - 价值类别和序列类别或列表组块的学习。
本文特此提出一种关于前额叶皮质及其功能的统一神经理论。