Working-Memory Prefrontal Model For Cognitive Flexibility In Task-Switching And Selection

2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)(2020)

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摘要
We propose a working-memory model inspired by the prefrontal cortex for flexible cognitive tasks. Our neural model categorizes contexts depending on the task features and selects the most appropriate one relative to inputs. Output errors led to a reevaluation of the context confidence level and a shift to another or the creation of a new one. Tests on the Wisconsin card task show the relevance of our model. Impairments of brain parts that regulate the neuromodulators for context evaluation or output selection produces similar prefrontal disorder and degeneration found in the brain literature.
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关键词
top-down learning, bottom-up learning, rules inference, task-set shifting, working memory
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