Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Phase-tuned modulation during reward expectancy in human anterior insular cortex.

Communications biology·2026

Same author

Competition Between Memory Updating and Differentiation Emerges From Intrinsic Network Dynamics.

Neural computation·2026

Same author

Cerebellar Transcranial Alternating Current Stimulation in the Theta Band Prevents Recall of the Initial Fear Association After Extinction Training.

Human brain mapping·2026

Same author

Pituitary adenomas associated with hydrocephalus: clinical characteristics, risk stratification, and clinical management.

Journal of neuro-oncology·2026

Same author

Accounting for sensitivity of latent learning to behavioral statistics with successor representations.

PLoS computational biology·2026

Same author

Exploring the role and therapeutic potential of RNA N6-methyladenosine modification in abortion disease pathology: a comprehensive review.

Frontiers in genetics·2026

Same journal

Neurobiological after-effects and clinical efficacy of transcranial magnetic stimulation (TMS) in Parkinson's disease: a systematic review.

Brain structure & function·2026

Same journal

A conserved pulvinar projection to the amygdala revealed in macaque monkeys (Macaca mulatta).

Brain structure & function·2026

Same journal

Cerebellar pathway diffusion MRI measures are linked to core autism symptoms in early adolescents aged 9 to 11 years.

Brain structure & function·2026

Same journal

The role of the subcortical structures in subthreshold depression: evidence from static and dynamic functional connectivity.

Brain structure & function·2026

Same journal

Auditory conditioned fear elicits anxiety-like behavior and differential neuronal remodeling in the prelimbic and infralimbic cortex of rats.

Brain structure & function·2026

Same journal

Brain structure and function in Homo naledi.

Brain structure & function·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 3, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Navigation and the efficiency of spatial coding: insights from closed-loop simulations.

Behnam Ghazinouri¹, Mohammadreza Mohagheghi Nejad¹, Sen Cheng²

¹Faculty of Computer Science, Institute for Neural Computation, Ruhr University Bochum, Universitätsstrasse 150, 44801, Bochum, Germany.

Brain Structure & Function

|April 8, 2023

Summary

This summary is machine-generated.

This study used computational models to explore how spatial representations like place cells drive navigation. Efficiently encoding spatial information is critical for successful spatial learning and movement.

Keywords:

Efficient coding hypothesis Fisher information Place cells Spiking neural networks

More Related Videos

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

Published on: March 3, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Aug 3, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

Published on: March 3, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

Spatial learning and navigation rely on neural representations of space, including place cells and boundary cells.
While the emergence of these representations is well-studied, their functional role in guiding behavior remains less understood.

Purpose of the Study:

To investigate the functional role of spatial representations in driving spatial learning and navigation.
To utilize a computational modeling tool-chain with closed-loop simulations for this investigation.

Main Methods:

Developed a computational model agent with a spiking neural network forming a ring attractor.
Integrated place and boundary cell inputs into the network, with activity bump location dictating movement.
Performed closed-loop simulations to assess navigation performance under varying parameters.

Main Results:

Navigation performance was sensitive to place cell input parameters (number, field size, firing rate) and goal zone size.
Place cell parameter dependence was explained by a non-monotonic overlap index.
Performance scaled monotonically with the Fisher information of the place cell population.

Conclusions:

Efficient encoding of spatial information by neural populations is crucial for effective navigation.
Computational modeling provides a valuable approach to understanding the functional roles of neural representations in behavior.