Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops

Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops
复制标题

DOI:
10.1016/j.neunet.2011.10.008
复制
发表时间:
2012-02
期刊:
Neural networks : the official journal of the International Neural Network Society
影响因子:
--
通讯作者:
H. Schroll;Julien Vitay;F. Hamker
H. Schroll;Julien Vitay;F. Hamker
中科院分区:
其他
文献类型:
--
作者:
H. Schroll;Julien Vitay;F. Hamker

文献摘要

被引文献

相似文献

皮质-基底神经节-丘脑回路参与认知过程和运动控制。我们提出了一个生物学上有意义的计算模型,这些回路如何有助于组织的工作记忆和发展的反应行为。通过基底神经节的强化学习,该模型开发了对前额叶回路内工作记忆的灵活控制,并根据工作记忆内容和运动回路内的视觉刺激来选择适当的反应。我们发现,工作记忆控制和反应选择可以在平行和相互作用的皮质基底神经节丘脑环路的Hebbian和三因素的学习规则。此外,该模型给出了一个连贯的解释,复杂的工作记忆控制和反应选择的策略可以从基本的认知操作,可以通过试错学习。
Cortico-basalganglio-thalamic loops are involved in both cognitive processes and motor control. We present a biologically meaningful computational model of how these loops contribute to the organization of working memory and the development of response behavior. Via reinforcement learning in basal ganglia, the model develops flexible control of working memory within prefrontal loops and achieves selection of appropriate responses based on working memory content and visual stimulation within a motor loop. We show that both working memory control and response selection can evolve within parallel and interacting cortico-basalganglio-thalamic loops by Hebbian and three-factor learning rules. Furthermore, the model gives a coherent explanation for how complex strategies of working memory control and response selection can derive from basic cognitive operations that can be learned via trial and error.