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Memory notes:
Embracing Complexity: Using the Attribute Model to Elucidate the Role for Distributed Neural Networks Underlying Spatial Memory Processes
*Olton [16,17] has suggested a different dual memory system in which spatial memory can be divided into a hippocampal dependent short term working memory defined as memory for the specific personal spatial and temporal context of a situation and a non-hippocampal dependent intermediate or long term reference memory, defined as memory for rules and procedures (general knowledge) of specific situations.
*However, memory is too complex and involves many neural systems in addition to the hippocampus to be simply parsed into a dichotomous system. To remedy this situation, Kesner [19,20,21] proposed a tripartite attribute based theoretical model of memory which is organized into event-based (data-based), knowledge-based (expectation-based), and rule-based memory systems. Each system is composed of the same set of attributes or domains of memory, characterized by a set of process oriented operating characteristics and mapped onto interconnected neural circuits.
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