Journal ArticleDOI
Boundaries Shape Cognitive Representations of Spaces and Events
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TLDR
It is proposed that a fundamental event boundary detection mechanism enables navigation in both the spatial and episodic domains, and serves to form cohesive representations that can be used to predict and guide future behavior.About:
This article is published in Trends in Cognitive Sciences.The article was published on 2018-07-01. It has received 80 citations till now. The article focuses on the topics: Spatial memory & Episodic memory.read more
Citations
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Journal ArticleDOI
Navigating cognition: Spatial codes for human thinking
Jacob L. S. Bellmund,Jacob L. S. Bellmund,Jacob L. S. Bellmund,Peter Gärdenfors,Peter Gärdenfors,Edvard I. Moser,Christian F. Doeller,Christian F. Doeller +7 more
TL;DR: It is argued that spatial-processing principles in the hippocampalentorhinal region provide a geometric code to map information domains of cognitive spaces for high-level cognition and discuss recent evidence for this proposal.
Journal ArticleDOI
Transcending time in the brain: How event memories are constructed from experience.
TL;DR: How both temporal stability and change in one's thoughts, goals, and surroundings may provide scaffolding for neural processes to link and separate memories across time is discussed, shedding new light on how the brain transcends time to transform everyday experiences into meaningful memory representations.
Journal ArticleDOI
Structuring Knowledge with Cognitive Maps and Cognitive Graphs.
TL;DR: Evidence suggesting that both map-like and graph-like representations exist in the mind/brain that rely on partially overlapping neural systems may provide fundamental organizing schemata that allow us to navigate in physical, social, and conceptual spaces.
Journal ArticleDOI
Reward prediction errors create event boundaries in memory.
TL;DR: High-RPE events are both more strongly encoded, show intact links with their predecessor, and act as event boundaries that interrupt the sequential integration of events, captured in a variant of the Context Maintenance and Retrieval model.
Journal ArticleDOI
The prevalence and importance of statistical learning in human cognition and behavior.
TL;DR: This work states that statistical learning has the potential to reconcile seemingly distinct learning phenomena and may be an under-appreciated but important contributor to a wide range of human behaviors that are studied as unrelated processes, such as episodic memory and spatial navigation.
References
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Journal ArticleDOI
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
Paul A. Yushkevich,Joseph Piven,Heather C. Hazlett,Rachel Gimpel Smith,Sean Ho,James C. Gee,Guido Gerig +6 more
TL;DR: The methods and software engineering philosophy behind this new tool, ITK-SNAP, are described and the results of validation experiments performed in the context of an ongoing child autism neuroimaging study are provided, finding that SNAP is a highly reliable and efficient alternative to manual tracing.
Journal ArticleDOI
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.
TL;DR: The account presented here suggests that memories are first stored via synaptic changes in the hippocampal system, that these changes support reinstatement of recent memories in the neocortex, that neocortical synapses change a little on each reinstatement, and that remote memory is based on accumulated neocorticals changes.
Journal ArticleDOI
Microstructure of a spatial map in the entorhinal cortex
TL;DR: The dorsocaudal medial entorhinal cortex (dMEC) contains a directionally oriented, topographically organized neural map of the spatial environment, whose key unit is the ‘grid cell’, which is activated whenever the animal's position coincides with any vertex of a regular grid of equilateral triangles spanning the surface of the environment.
Journal ArticleDOI
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
TL;DR: This work considers dual-action choice systems from a normative perspective, and suggests a Bayesian principle of arbitration between them according to uncertainty, so each controller is deployed when it should be most accurate.
Book ChapterDOI
36 – ParaView: An End-User Tool for Large-Data Visualization
James Ahrens,Berk Geveci +1 more
TL;DR: This chapter describes the design and features of a visualization tool called ParaView, a tool that allows scientists to visualize and analyze extremely large datasets and discusses key design decisions and tradeoffs.