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Related Experiment Video

Updated: Mar 7, 2026

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

Network neuroscience.

Danielle S Bassett^1,2, Olaf Sporns^3,4

¹Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Nature Neuroscience

|February 24, 2017

Summary

This summary is machine-generated.

Network neuroscience integrates empirical tools and network science to map and analyze brain systems. This approach aims to unravel complex brain functions and cognition by viewing the brain as a multiscale networked system.

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Modeling the Functional Network for Spatial Navigation in the Human Brain

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Published on: October 13, 2023

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Area of Science:

Neuroscience
Network Science
Computational Biology

Background:

Understanding complex brain function and cognition remains a significant challenge in neuroscience.
Existing approaches have limitations in fully capturing the intricate interactions within the brain.

Purpose of the Study:

To introduce and advocate for network neuroscience as an integrative approach to study the brain.
To explore how network science principles can be applied to neurobiological systems.
To outline emerging trends and future directions in the field.

Main Methods:

Utilizing new empirical tools for comprehensive mapping and recording of neurobiological elements and interactions.
Applying theoretical frameworks and computational tools from modern network science.
Analyzing data across multiple scales, from molecules to social systems.

Main Results:

The convergence of empirical and computational advances enables new frontiers in brain research.
This approach facilitates the study of network dynamics, manipulation, and control of brain networks.
It allows for the integration of network processes across different spatiotemporal domains.

Conclusions:

Network neuroscience offers a powerful framework for understanding the brain as a multiscale networked system.
The integration of network science with neurobiological data is crucial for advancing our comprehension of cognition.
Future research should focus on leveraging these integrated approaches to tackle fundamental questions in neuroscience.