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A simple cue can be sufficient to elicit vivid recollection of a past episode. Theoretical models suggest that upon perceiving such a cue, disparate episodic elements held in neocortex are retrieved through hippocampal pattern completion. We tested this fundamental assumption by applying functional magnetic resonance imaging (fMRI) while objects or scenes(More)
Much evidence suggests that the Hippocampus is necessary for learning novel associations. Contrary to this, Sharon, Moscovitch, and Gilboa (2011) reported four amnesic patients with Hippocampal damage who maintained the capacity to learn novel object-name associations when trained with a 'fast-mapping' (FM) technique. This technique therefore potentially(More)
The subject of our 3 rd session today is "A Computer Tool To Improve Questionnaire Design" and features a paper by a number of faculty members of the University of Memphis, headed by Professor Arthur Graesser, who will make this morning's presentation. Before introducing our speaker, I'd like to say that I am very pleased to be chairing this session,(More)
A related word prime has been found to interfere with picture naming after unrelated intervening trials (word-to-picture interference). Recently, Stroop-type picture-word interference effects have been interpreted in terms of a postlexical response exclusion process rather than a competitive lexical selection process. An experiment is reported that examines(More)
Focal lesions can affect connectivity between distal brain regions (connectional diaschisis) and impact the graph-theoretic properties of major brain networks (connectomic diaschisis). Given its unique anatomy and diverse range of functions, the hippocampus has been claimed to be a critical "hub" in brain networks. We investigated the effects of hippocampal(More)
Source monitoring paradigms have been used to separate: 1) the probability of recognising an item (Item memory) and 2) the probability of remembering the context in which that item was previously encountered (Source memory), conditional on it being recognised. Multinomial Processing Tree (MPT) models are an effective way to estimate these conditional(More)
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