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

Orthogonal Trajectories01:26

Orthogonal Trajectories

Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

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 towards...
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...

You might also read

Related Articles

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

Sort by
Same author

Bifurcation of spiking oscillations from a center in resonate-and-fire neurons.

Biological cybernetics·2026
Same author

Consistent population activity on the scale of minutes in the mouse hippocampus.

Hippocampus·2022
Same author

Modulation of Hippocampal Circuits by Muscarinic and Nicotinic Receptors.

Frontiers in neural circuits·2018
Same author

Howard Eichenbaum (1947-2017).

Science (New York, N.Y.)·2017
Same author

Unlocking neural complexity with a robotic key.

The Journal of physiology·2016
Same author

Functional connections between optic flow areas and navigationally responsive brain regions during goal-directed navigation.

NeuroImage·2015
Same journal

Improved Motor Neuron Preservation and Axonal Recovery Following Experimental Sciatic Nerve Repair With Heterologous Fibrin Biopolymer.

The European journal of neuroscience·2026
Same journal

Topography of Regional Cerebral GABA<sub>A</sub> Receptor Availability in Parkinson's Disease Patients With Freezing of Gait.

The European journal of neuroscience·2026
Same journal

Enhanced Time-Locked Decoding for Spoken Words but Not Environmental Sounds in Natural-Like Auditory Conditions.

The European journal of neuroscience·2026
Same journal

Learning Dynamics in Biophysical Spiking Network Models Are Shaped by KCC2/NKCC1 Cotransporter Stoichiometry.

The European journal of neuroscience·2026
Same journal

Dopamine Receptor Agonism in the Nucleus Accumbens Shell During Aversive Learning or Memory Retrieval: Differential Effects Depending on the Degree of Sugar Familiarity.

The European journal of neuroscience·2026
Same journal

Training in the Categorization of Aerial and Terrestrial Scenes Differentially Impacts Scene-Selective and Nonscene-Selective Regions in Occipitotemporal Cortex.

The European journal of neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 24, 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

A goal-directed spatial navigation model using forward trajectory planning based on grid cells.

Uğur M Erdem1, Michael Hasselmo

  • 1Center for Memory and Brain and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, USA. merdem@bu.edu

The European Journal of Neuroscience
|March 8, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel navigation model using head direction, grid, place, and prefrontal cortex (PFC) cells to find goals. The model simulates discovering shortcuts by looking ahead and utilizing reward signals, even in complex environments.

More Related Videos

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise
06:17

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise

Published on: January 26, 2024

Related Experiment Videos

Last Updated: May 24, 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

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise
06:17

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise

Published on: January 26, 2024

Area of Science:

  • Computational Neuroscience
  • Cognitive Neuroscience
  • Artificial Intelligence

Background:

  • Goal-directed navigation is crucial for survival and relies on complex neural computations.
  • Existing models often lack the flexibility to discover novel routes or adapt to dynamic environments.

Purpose of the Study:

  • To propose a computational model of goal-directed navigation integrating various cell types.
  • To enable the selection of new trajectories and discovery of shortcuts using a forward look-ahead mechanism.

Main Methods:

  • A computational model simulating head direction, grid, place, and prefrontal cortex (PFC) cells.
  • Forward linear look-ahead trajectory probing to evaluate potential movement directions.
  • Reward signal integration and diffusion for navigation in novel and complex environments.

Main Results:

  • The model successfully navigates mazes by selecting goal-directed trajectories based on reward signals.
  • Simulations demonstrate the discovery of novel shortcuts, particularly in environments with barriers.
  • The PFC map topology and reward diffusion are critical for navigating complex terrains.

Conclusions:

  • The proposed model provides a biologically plausible mechanism for flexible goal-directed navigation.
  • Forward look-ahead probing combined with reward signaling is effective for route planning and optimization.
  • This framework advances our understanding of spatial navigation and decision-making in the brain.