A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies
作者： J. P. Banquet , Ph. Gaussier , M. Quoy , A. Revel , Y. Burnod
关键词: Psychology 、 Associative learning 、 Imitation 、 Cognitive map 、 Entorhinal cortex 、 Object (computer science) 、 Spatial memory 、 Episodic memory 、 Artificial intelligence 、 Sequence learning
摘要: In this letter we describe a hippocampo-cortical model of spatial processing and navigation based on cascade increasingly complex associative processes that are also relevant for other hippocampal functions such as episodic memory. Associative learning different types the related pattern encoding-recognition take place at three successive levels: (1) an object location level, which computes landmarks from merged multimodal sensory inputs in parahippocampal cortices; (2) subject fields by combination local views movement-related information entorhinal cortex; (3) spatiotemporal transitions contiguous CA3-CA1 region, form building blocks temporospatial sequences.At cell population superficial cells encode spatial, context-independent maps landscapes activity; populations transition region context-dependent sequences transitions, graphs prefrontal-parietal cortices. The was tested robot moving real environment; these tests produced results could help to interpret biological data. Two goal-oriented strategies were displayed depending type map used system.Thanks its multilevel, integration behavioral implementation, suggests functional interpretations largely unaccounted structural differences between systems. Further, information, common denominator shared several brain structures, serve cognitive frame link, example, during memory, suggested applications domains, temporal sequence imitation particular.
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