Multi-level analyses of associative recognition memory: The whole is greater than the sum of its parts

Gareth R I Barker, Clea Warburton*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

44 Downloads (Pure)

Abstract

Associative recognition memory depends on the integration of information concerning an item and the spatio-temporal context in which it was encountered. Such integration depends on dynamic interactions across a brain-wide memory network. Here we discuss evidence from multiple levels of analysis, behavioural, cellular and synaptic which demonstrating the existence of multiple overlapping, subnetworks embedded within these large-scale networks. Recent advances have revealed that of these subnetworks, a distinct hippocampal-prefrontal networks are engaged by different representations (object-spatial or object temporal). Other subnetworks are recruited by distinct processing demands, such as encoding and retrieval which are supported by distinct cellular and synaptic processes. One challenge to multi-level investigations of memory continues to be that conclusions are drawn from correlations of effects rather than from direct evidence of causation.  
Original languageEnglish
Pages (from-to)80-87
Number of pages8
JournalCurrent Opinion in Behavioral Sciences
Volume32
Early online date17 Mar 2020
DOIs
Publication statusPublished - 1 Apr 2020

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