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Organization of the Brain

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The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
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Updated: Apr 13, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Network structure and time delays shape synchronization patterns in brain network models.

Iain Pinder¹, Martin R Nelson¹, Jonathan J Crofts¹

¹School of Science and Technology, Department of Physics and Mathematics, Nottingham Trent University, Nottingham NG11 8NS, United Kingdom.

Chaos (Woodbury, N.Y.)

|December 3, 2024

Summary

This study explores how time delays and network structure impact brain region synchronization. Delays can regulate chaotic dynamics and suppress spreading, crucial for complex information processing.

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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:

Computational Neuroscience
Systems Neuroscience
Network Science

Background:

Brain function relies on synchronized activity across regions.
Understanding information processing requires modeling communication delays and network topology.

Purpose of the Study:

Investigate synchronization and coherence in delayed Wilson-Cowan networks.
Analyze the impact of intra-nodal and inter-nodal delays on network dynamics.
Examine how network topology, coupling strength, and delays shape global brain dynamics.

Main Methods:

Simulated a network of delayed Wilson-Cowan nodes.
Incorporated distinct intra-nodal and inter-nodal delays.
Studied various network topologies, including Macaque monkey cortical structure.

Main Results:

Identified parameter regions with transverse instabilities in synchronized states.
Observed diverse dynamics dependent on network architecture, coupling, and delays.
Cortical networks showed unique time-dependent behaviors like phase cluster dynamics, unlike simpler networks.

Conclusions:

Time delays and network topology significantly influence brain network dynamics.
Delays are crucial for orchestrating complex information processing and behavior.
Delays can regulate chaotic dynamics and potentially suppress pathological spreading.