Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Habitat Fragmentation02:31

Habitat Fragmentation

22.0K
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
22.0K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

334
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
334
State Space Representation01:27

State Space Representation

735
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
735
Position and Displacement Vectors01:00

Position and Displacement Vectors

14.9K
To describe the motion of an object, one should first be able to describe its position (where it is at any particular time). More precisely, the position needs to be specified relative to a convenient frame of reference. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference to describe the position of an object in relation to stationary objects on Earth.
Further, several important kinds of...
14.9K
Position and Displacement Vectors01:00

Position and Displacement Vectors

992
992
Manipulation and Analysis01:21

Manipulation and Analysis

332
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
332

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Topographic CA1 input shapes subicular spatial coding.

bioRxiv : the preprint server for biology·2026
Same author

Hippocampal place code plasticity in CA1 requires postsynaptic membrane fusion.

Neuron·2026
Same author

Entorhinal cortex represents task-relevant remote locations independently of CA1.

Nature neuroscience·2026
Same author

State-dependent spatial maps for navigation.

Trends in cognitive sciences·2026
Same author

Gaussian Process Inference Reveals Non-Separability of Position and Velocity Tuning in Grid Cells.

Hippocampus·2026
Same author

Gaussian Process Inference Reveals Non-separability of Position and Velocity Tuning in Grid Cells.

bioRxiv : the preprint server for biology·2026
Same journal

Increased rates of hybridization in swordtails are associated with water pollution.

Current biology : CB·2026
Same journal

Visual uncertainty and task demands shape active sensing strategies in mice.

Current biology : CB·2026
Same journal

An adaptable, self-organizing, single-cell morphology circuit optimizes suctorian predatory trap structure.

Current biology : CB·2026
Same journal

Temporal tuning of switch-like virulence expression resolves environmental uncertainty through phenotypic heterogeneity.

Current biology : CB·2026
Same journal

An abstract relational map emerges in the human medial prefrontal cortex with consolidation.

Current biology : CB·2026
Same journal

Phloem evolved gradually and asynchronously to xylem in early vascular plants.

Current biology : CB·2026
See all related articles

Related Experiment Video

Updated: Apr 13, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

896

Spatial representation: maps of fragmented space.

Lisa M Giocomo1

  • 1Department of Neurobiology, Stanford University, 299 Campus Drive, Stanford, CA 94028, USA.

Current Biology : CB
|May 6, 2015
PubMed
Summary
This summary is machine-generated.

Grid cells in the medial entorhinal cortex provide a neural metric for spatial navigation. A recent study investigated how these cells use self-motion cues to construct global maps in fragmented environments.

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K

Related Experiment Videos

Last Updated: Apr 13, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

896
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K

Area of Science:

  • Neuroscience
  • Cognitive Science

Background:

  • Grid cells in the medial entorhinal cortex are crucial for spatial navigation.
  • They are hypothesized to function as a neural metric, encoding distance and direction.

Purpose of the Study:

  • To investigate the role of grid cells in forming a global spatial map.
  • To determine if grid cells can utilize self-motion cues to integrate information across fragmented environments.

Main Methods:

  • Electrophysiological recordings from medial entorhinal cortex neurons.
  • Behavioral experiments involving navigation in fragmented environments.
  • Analysis of grid cell firing patterns in response to self-motion cues.

Main Results:

  • Grid cells demonstrated the ability to form a continuous global map.
  • Self-motion cues were effectively used by grid cells to update their spatial representation.
  • Evidence suggests grid cells can overcome environmental fragmentation to maintain a coherent map.

Conclusions:

  • Grid cells are capable of constructing and maintaining a global spatial map using self-motion information.
  • This capability allows for robust navigation even in complex, fragmented environments.
  • The findings support the role of grid cells as a fundamental component of the brain's navigation system.