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Brain Waves

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

Action Potential

Action Potential

Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
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Neuronal Communication

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...

The Role of Ion Channels in Neuronal Computation

The Role of Ion Channels in Neuronal Computation

A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
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Propagation of Action Potentials

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
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Neurons: The Axon

Neurons: The Axon

Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
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Related Experiment Video

Updated: Dec 26, 2025

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

Brain-wave equation incorporating axodendritic connectivity.

James Ross¹, Michelle Margetts¹, Ingo Bojak²

¹Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom.

Physical Review. E

|March 15, 2020

Summary

We developed a new neural field model incorporating dendritic structure to simulate brain waves. This model reveals how passive dendritic properties influence the speed and shape of traveling cortical waves.

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Area of Science:

Computational Neuroscience
Mathematical Biology
Neurophysics

Background:

Neural field models are crucial for understanding large-scale brain activity.
Dendritic structure and axodendritic connectivity play significant roles in neural signal processing.
Efficient simulation methods are needed to study complex neural dynamics.

Purpose of the Study:

To introduce an integral model of a two-dimensional neural field with a third dimension for dendritic space.
To develop an equivalent brain-wave partial differential equation for efficient numerical simulation.
To investigate the impact of passive dendritic properties on traveling cortical waves.

Main Methods:

Developed an integral neural field model incorporating dendritic tree spatial dimension.
Incorporated realistic patterns of axodendritic connectivity.
Derived an equivalent brain-wave partial differential equation for computational analysis.

Main Results:

Successfully constructed a partial differential equation enabling efficient model simulation.
Demonstrated the influence of dendritic structure on wave propagation.
Highlighted how passive dendritic properties affect the speed and shape of traveling cortical waves.

Conclusions:

The integral neural field model with dendritic space provides a powerful tool for studying neural dynamics.
Passive dendritic properties significantly modulate the characteristics of large-scale cortical waves.
The derived partial differential equation facilitates efficient simulation and analysis of neural wave phenomena.