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Amy L. Griffin

Researcher at RMIT University

Publications -  91
Citations -  2896

Amy L. Griffin is an academic researcher from RMIT University. The author has contributed to research in topics: Prefrontal cortex & Spatial memory. The author has an hindex of 29, co-authored 82 publications receiving 2376 citations. Previous affiliations of Amy L. Griffin include Miami University & University of Delaware.

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Gradual Translocation of Spatial Correlates of Neuronal Firing in the Hippocampus toward Prospective Reward Locations

TL;DR: The within-session shifts in preferred firing locations in the absence of any changes in the environment suggest that certain cognitive factors can significantly alter the location-bound coding scheme of hippocampal neurons.
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Ventral Midline Thalamus Is Critical for Hippocampal-Prefrontal Synchrony and Spatial Working Memory.

TL;DR: It is demonstrated that Re/Rh facilitate bidirectional communication between the dorsal hippocampus and mPFC during SWM, providing evidence for a causal role of Re/ Rh in regulating hippocampal–prefrontal synchrony and SWM-directed behavior.
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Time scarcity: another health inequality?

TL;DR: Whether time scarcity, like financial pressure, is socially patterned, and thus likely to generate health inequality is investigated, and the potential for time scarcity to compound other sources of health inequality through interplays with income and space is explored.
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The nucleus reuniens of the thalamus sits at the nexus of a hippocampus and medial prefrontal cortex circuit enabling memory and behavior

TL;DR: A conceptual model of RE circuitry within the mPFC–RE–HC system is presented and speculated on the computations RE enables and the rapidly growing literature demonstrating that RE is critical to aspects of behavioral tasks that place demands on memory.
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A Comparison of Animated Maps with Static Small-Multiple Maps for Visually Identifying Space-Time Clusters

TL;DR: It is found that map readers answer more quickly and identify more patterns correctly when using animated maps than when using static small-multiple maps, and pace and cluster coherence interact so that different paces are more effective for identifying certain types of clusters.