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

Cell Migration01:09

Cell Migration

19.2K
Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
19.2K
Cell Migration01:19

Cell Migration

7.4K
Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
7.4K
Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

6.2K
Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
6.2K
Cell Motility through Blebbing01:16

Cell Motility through Blebbing

2.7K
Blebs are a type of membrane protrusion formed by the internal hydrostatic pressure of the cytoplasm. Blebs are observed in several cell types, including fibroblasts, immune cells, and single-celled organisms like the amoeba. The primary function of blebs is cell locomotion and apoptosis, but they are also found during necrosis and cell division. The life cycle of a bleb comprises an initiation phase followed by the expansion and retraction phases.
Blebbing Through the Matrix
In multicellular...
2.7K
Design Example: Marking Boundaries of a Site Using a Compass01:12

Design Example: Marking Boundaries of a Site Using a Compass

340
Marking site boundaries using a compass is a precise surveying technique that ensures the accuracy of boundary delineation. The process begins by using provided site details, including the bearings and lengths of each boundary line. The initial step involves calculating latitudes and departures for all sides of the site. This computation verifies that the traverse is free of errors, ensuring a closed and accurate boundary.The process starts at a known point, such as Point A, which is often...
340
Cells of the Epidermis01:24

Cells of the Epidermis

9.0K
The epidermis is made of four or five layers of epithelial cells, depending on its location in the body. From deep to superficial, these layers are the stratum basale, stratum spinosum, stratum granulosum, stratum lucidum, and stratum corneum.
The cells in all these layers except the stratum basale are called keratinocytes, a type of cell that manufactures and stores the protein keratin. The keratinocytes in the stratum corneum are dead and regularly slough away, being replaced by cells from...
9.0K

You might also read

Related Articles

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

Sort by
Same author

Hippocampal theta sweeps indicate goal direction during navigation.

Nature neuroscience·2026
Same author

Hippocampo-neocortical interaction as compressive retrieval-augmented generation.

Nature communications·2026
Same author

Acetylcholine: a candidate substrate for hippocampal predictive learning?

Nature reviews. Neuroscience·2026
Same author

Spatial encoding of a traumatic virtual reality scene reduces intrusive memories.

Social cognitive and affective neuroscience·2026
Same author

Head direction cells use a head-referenced dual-axis updating rule in 3D space.

Communications biology·2026
Same author

Path Integration in Alzheimer's Disease: Orientation, Movement, and Theta Rhythmicity.

Annual review of neuroscience·2026
Same journal

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.

Neuron·2026
Same journal

TGF-β1-induced endothelial transcytosis drives blood-brain barrier leakage during aging.

Neuron·2026
Same journal

Image space opens up for visual neuroscience.

Neuron·2026
Same journal

Septal GLP-1 receptors control alcohol taking and seeking.

Neuron·2026
Same journal

Microglial fitness in moderation: Tuning TREM2 signaling through Ptpn6.

Neuron·2026
Same journal

Human astrocytes keep time with inflammation.

Neuron·2026
See all related articles

Related Experiment Video

Updated: Apr 5, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K

Using Grid Cells for Navigation.

Daniel Bush1, Caswell Barry2, Daniel Manson3

  • 1UCL Institute of Cognitive Neuroscience, 17 Queen Square, London, WC1N 3AR, UK; UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK.

Neuron
|August 7, 2015
PubMed
Summary
This summary is machine-generated.

Mammals use grid cells in the brain for vector navigation, even over long distances. This study proposes a computational method for calculating navigation vectors using grid cell activity, inspired by the Fourier shift theorem.

More Related Videos

Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications
05:09

Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications

Published on: February 2, 2024

2.0K
A Simplified System for Evaluating Cell Mechanosensing and Durotaxis In Vitro
09:50

A Simplified System for Evaluating Cell Mechanosensing and Durotaxis In Vitro

Published on: August 27, 2015

8.7K

Related Experiment Videos

Last Updated: Apr 5, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K
Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications
05:09

Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications

Published on: February 2, 2024

2.0K
A Simplified System for Evaluating Cell Mechanosensing and Durotaxis In Vitro
09:50

A Simplified System for Evaluating Cell Mechanosensing and Durotaxis In Vitro

Published on: August 27, 2015

8.7K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Spatial Navigation

Background:

  • Mammals exhibit sophisticated vector navigation, utilizing internal spatial representations from the hippocampal formation.
  • Grid cells within the hippocampal formation generate periodic spatial firing patterns, forming a combinatorial code for location.

Purpose of the Study:

  • To address the computational challenge of determining the vector between start and goal locations using grid cell firing patterns.
  • To develop algorithms and neural network models for vector navigation that can handle vectors longer than the largest grid cell scale.

Main Methods:

  • An algorithmic solution inspired by the Fourier shift theorem was developed.
  • Potential neural network implementations combining search efficiency and biological plausibility were described.

Main Results:

  • The proposed algorithm provides a method for calculating navigation vectors from grid cell codes.
  • Neural network models offer biologically plausible mechanisms for implementing this calculation.

Conclusions:

  • The study presents a computational framework for understanding vector navigation using grid cells.
  • Empirical predictions related to hippocampal formation anatomy and electrophysiology are discussed, guiding future research.