Publications by authors named "Steven A Marchette"

Article Synopsis
  • The ability to reorient oneself when lost is essential for navigating spaces, involving the recovery of a cognitive map and understanding one’s location within it.
  • Research shows that this process relies on specific cells in the brain’s hippocampus, found in rodents, which help track position and direction.
  • Studies in humans identify key brain regions, like the retrosplenial complex and occipital place area, that support visual processing and spatial awareness necessary for effective reorientation.*
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Modern spatial navigation requires fluency with multiple representational formats, including visual scenes, signs, and words. These formats convey different information. Visual scenes are rich and specific but contain extraneous details.

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In the real word, we perceive our environment as a series of static and dynamic views, with viewpoint transitions providing a natural link from one static view to the next. The current research examined if experiencing such transitions is fundamental to learning the spatial layout of small-scale displays. In Experiment 1, participants viewed a tabletop array from 4 orientations in 1 of 3 conditions.

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Article Synopsis
  • The study examines how people navigate to the locations of objects, proposing that spatial memory involves independent representations at different scales, rather than a single zooming-in process.
  • Subjects learned object locations within distinct buildings set in a larger virtual park and were tested on their navigation accuracy.
  • Results indicated that participants often confused geometrically similar locations in different buildings, suggesting they could recall local positions without remembering their global context.
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Unlabelled: The use of landmarks is central to many navigational strategies. Here we use multivoxel pattern analysis of fMRI data to understand how landmarks are coded in the human brain. Subjects were scanned while viewing the interiors and exteriors of campus buildings.

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The neural systems that code for location and facing direction during spatial navigation have been investigated extensively; however, the mechanisms by which these quantities are referenced to external features of the world are not well understood. To address this issue, we examined behavioral priming and functional magnetic resonance imaging activity patterns while human subjects recalled spatial views from a recently learned virtual environment. Behavioral results indicated that imagined location and facing direction were represented during this task, and multivoxel pattern analyses indicated that the retrosplenial complex (RSC) was the anatomical locus of these spatial codes.

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A wealth of evidence in rodents and humans supports the central roles of two learning systems--hippocampal place learning and striatal response learning--in the formation of spatial representations to support navigation. Individual differences in the ways that these mechanisms are engaged during initial encoding and subsequent navigation may provide a powerful framework for explaining the wide range of variability found in the strategies and solutions that make up human navigational styles. Previous work has revealed that activation in the hippocampal and striatal networks during learning could predict navigational style.

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Orientation dependence in spatial memory has often been interpreted in terms of accessibility: Object locations are encoded relative to a reference orientation that affords the most accurate access to spatial memory. An open question, however, is whether people naturally use this "preferred" orientation whenever recalling the space. We tested this question by asking participants to locate buildings on a familiar campus from various imagined locations, without specifying the heading to be assumed.

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Learning to navigate plays an integral role in the survival of humans and other animals. Research on human navigation has largely focused on how we deliberately map out our world. However, many of us also have experiences of navigating on "autopilot" or out of habit.

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When people learn an environment, they appear to establish a principle orientation just as they would determine the "top" of a novel object. Evidence for reference orientations has largely come from observations of orientation dependence in pointing judgments: Participants are most accurate when asked to recall the space from a particular orientation. However, these investigations have used highly constrained encoding in both time-scale and navigational goals, leaving open the possibility that larger spaces experienced during navigational learning depend on a different organizational scheme.

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Re-entrant circuits involving communication between the frontal cortex and other brain areas have been hypothesized to be necessary for maintaining the sustained patterns of neural activity that represent information in working memory, but evidence has so far been indirect. If working memory maintenance indeed depends on such temporally precise and robust long-distance communication, then performance on a delayed recognition task should be highly dependent on the microstructural integrity of white-matter tracts connecting sensory areas with prefrontal cortex. This study explored the effect of variations in white-matter microstructure on working memory performance in two separate groups of participants: patients with multiple sclerosis and age- and sex-matched healthy adults.

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Testing spatial memory within the same environment used for learning produces interference between one's immediate representation of current position and the to-be-retrieved position. In a series of 3 experiments, we show that "current position" and its influence on memory performance can be driven by conceptual factors in an ambiguous testing situation. First, we demonstrate that simple instructions about the testing conditions-"you are in the space" versus "imagine the space"-determined whether a participant showed interference from current position, reflecting the effect of one's conceived position in space on long-term memory retrieval.

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