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Cue integration in spatial search for jointly learned landmarks but not for separately learned landmarks--Manuscript
Download2016-01-01
Mou, Weimin, Madan, Christopher R., Du, Yu, McMillan, Neil, Spetch, Marcia L.
We investigated how humans use multiple landmarks to locate a goal. Participants searched for a hidden goal location along a line between two distinct landmarks on a computer screen. On baseline trials, the location of the landmarks and goal varied, but the distance between each of the landmarks...
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Cue integration in spatial search for jointly learned landmarks but not for separately learned landmarks--Supplementary materials
Download2016-01-01
McMillan, Neil, Spetch, Marcia L., Du, Yu, Madan, Christopher R., Mou, Weimin
We investigated how humans use multiple landmarks to locate a goal. Participants searched for a hidden goal location along a line between two distinct landmarks on a computer screen. On baseline trials, the location of the landmarks and goal varied, but the distance between each of the landmarks...
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Figures for the Manuscript titled as 'Superior Cognitive Mapping through Single-landmark-related Learning than through Boundary-related Learning'
Figures for the Manuscript titled as 'Superior Cognitive Mapping through Single-landmark-related Learning than through Boundary-related Learning'
Download2015
Cognitive mapping is assumed to be through hippocampus-dependent place learning rather than striatum-dependent response learning. However, we propose that either type of spatial learning, as long as it involves encoding metric relations between locations and reference points, could lead to a...
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submitted manuscript titled as 'Superior Cognitive Mapping through Single-landmark-related Learning than through Boundary-related Learning'
submitted manuscript titled as 'Superior Cognitive Mapping through Single-landmark-related Learning than through Boundary-related Learning'
Download2016-01-01
Cognitive mapping is assumed to be through hippocampus-dependent place learning rather than striatum-dependent response learning. However, we propose that either type of spatial learning, as long as it involves encoding metric relations between locations and reference points, could lead to a...
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2022-01-01
Peter R. Thompson, Mark A. Lewis, Mark A. Edwards, Andrew E. Derocher
Background Animal movement modelling provides unique insight about how animals perceive their landscape and how this perception may influence space use. When coupled with data describing an animal’s environment, ecologists can fit statistical models to location data to describe how spatial memory...