Journal ArticleDOI
Viewpoint Dependence in Scene Recognition
Reads0
Chats0
TLDR
This paper investigated the viewpoint dependence of spatial memories and found that interobject spatial relations are encoded in a viewpoint-dependent manner, and that recognition of novel views requires normalization to the most similar representation in memory.Abstract:
Two experiments investigated the viewpoint dependence of spatial memories In Experiment 1, participants learned the locations of objects on a desktop from a single perspective and then took part in a recognition test, test scenes included familiar and novel views of the layout Recognition latency was a linear function of the angular distance between a test view and the study view In Experiment 2, participants studied a layout from a single view and then learned to recognize the layout from three additional training views A final recognition test showed that the study view and the training views were represented in memory, and that latency was a linear function of the angular distance to the nearest study or training view These results indicate that interobject spatial relations are encoded in a viewpoint-dependent manner, and that recognition of novel views requires normalization to the most similar representation in memory These findings parallel recent results in visual object recognition.read more
Citations
More filters
Journal ArticleDOI
The Human Hippocampus and Spatial and Episodic Memory
TL;DR: A review of neuropsychological, behavioral, and neuroimaging studies of human hippocampal involvement in spatial memory concentrates on three important concepts in this field: spatial frameworks, dimensionality, and orientation and self-motion.
Journal ArticleDOI
Remembering the past and imagining the future: a neural model of spatial memory and imagery
TL;DR: Simulations demonstrate the retrieval and updating of familiar spatial scenes, hemispatial neglect in memory, and the effects on hippocampal place cell firing of lesioned head direction representations and of conflicting visual and ideothetic inputs.
Journal ArticleDOI
Spatial memory: how egocentric and allocentric combine
TL;DR: It appears that both egocentric and allocentric representations exist in parallel, and combine to support behavior according to the task, providing a framework for investigation of the organization of human memory more generally.
Journal ArticleDOI
Human spatial representation: insights from animals.
TL;DR: This research provides evidence that animals, including humans, navigate primarily by representations that are momentary rather than enduring, egocentric rather than geocentric, and limited in the environmental information that they capture.
Journal ArticleDOI
Spatial cognition and the brain.
TL;DR: It is now becoming possible to construct a mechanistic neural‐level model of at least some aspects of spatial memory and imagery, with the hippocampus and medial temporal lobe providing allocentric environmental representations, the parietal lobe egocentric representations, and the retrosplenial cortex and parieto‐occipital sulcus allowing both types of representation to interact.
References
More filters
Journal ArticleDOI
Recognition-by-Components: A Theory of Human Image Understanding.
TL;DR: Recognition-by-components (RBC) provides a principled account of the heretofore undecided relation between the classic principles of perceptual organization and pattern recognition.
Journal ArticleDOI
PsyScope: An interactive graphic system for designing and controlling experiments in the psychology laboratory using Macintosh computers
TL;DR: The overall organization of the PsyScope program is described, an example of how a simple experiment can be constructed within its graphic environment is provided, and some of its technical features are discussed.
Book
Mental Images and Their Transformations
Roger N. Shepard,Lynn A. Cooper +1 more
TL;DR: The authors collected some of the most exciting pioneering work in perceptual and cognitive psychology, including the work of The authors, which is a good starting point for this paper. But they did not cover the following:
Journal ArticleDOI
Regularization algorithms for learning that are equivalent to multilayer networks.
Tomaso Poggio,Federico Girosi +1 more
TL;DR: A theory is reported that shows the equivalence between regularization and a class of three-layer networks called regularization networks or hyper basis functions.
Journal ArticleDOI
Mental rotation and orientation-dependence in shape recognition
Michael J. Tarr,Steven Pinker +1 more
TL;DR: Results are consistent with a hybrid of the second (mental transformation) and third (multiple view) hypotheses of shape recognition: input shapes are transformed to a stored view, either the one at the nearest orientation or one at a canonical orientation.