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Martha Hvoslef-Eide

Researcher at University of Cambridge

Publications -  16
Citations -  873

Martha Hvoslef-Eide is an academic researcher from University of Cambridge. The author has contributed to research in topics: Working memory & Cognition. The author has an hindex of 11, co-authored 16 publications receiving 727 citations. Previous affiliations of Martha Hvoslef-Eide include University of Oslo & Cardiff University.

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The touchscreen operant platform for testing learning and memory in rats and mice

TL;DR: This protocol describes how to perform four touchscreen assays of learning and memory: visual discrimination, object-location paired-associates learning, visuomotor conditional learning and autoshaping.
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The touchscreen operant platform for testing working memory and pattern separation in rats and mice

TL;DR: These tasks are particularly useful in animal models of hippocampal, and specifically DG, function, but they additionally permit discernment of changes in pattern separation from those in working memory.
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The representational-hierarchical view of pattern separation: Not just hippocampus, not just space, not just memory?

TL;DR: This putative PS process is described from the "representational-hierarchical" perspective (R-H), which uses a hierarchical continuum instead of a cognitive modular processing framework to describe the organization of the ventral visual perirhinal-hippocampal processing stream.
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The continuous performance test (rCPT) for mice: a novel operant touchscreen test of attentional function.

TL;DR: Continuous performance tests (CPTs) are widely used to assess attentional processes in a variety of disorders including Alzheimer's disease and schizophrenia as discussed by the authors, which require discrimination of sequentially presented, visually patterned "target" and "non-target" stimuli at a single location.
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The NEWMEDS rodent touchscreen test battery for cognition relevant to schizophrenia

TL;DR: This article provides a review of the touchscreen battery of tasks for rats and mice for assessing cognitive domains relevant to schizophrenia and highlights validation data presented in several primary articles in this issue and elsewhere.