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# Physics# Adaptation and Self-Organizing Systems# Pattern Formation and Solitons

Patterns of Hindmarsh-Rose Neurons Under Strong Pulses

Exploring neuron behavior and patterns triggered by strong pulses.

Jaidev S. Ram, Sishu Shankar Muni, Igor A. Shepelev

― 4 min read


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Table of Contents

Have you ever thought about how your brain works? It's a bit like a big city with all its roads and traffic lights, where neurons are the cars zipping around. In our brain, neurons communicate with each other using signals, and they can create all sorts of interesting patterns. Here, we dive into some cool patterns formed by a specific type of neuron model called Hindmarsh-Rose neurons. We are especially interested in what happens when we shake things up by hitting these neurons with strong pulses.

What Are Hindmarsh-Rose Neurons?

Hindmarsh-Rose neurons are like the rock stars of the neuron world. They can do exciting things like regularly pulse, burst into activity, or even go wild with chaotic behavior. They are special because scientists can use math to create models of how they work, helping us understand how they communicate and behave in groups.

Think of these neurons like the musicians in a band. Sometimes they play together in harmony, sometimes they create separate rhythms, and other times, they might totally lose their tune.

Different Patterns We Can See

In our study, we focus on patterns formed when these neurons are set up in a two-dimensional grid-like a checkerboard. When we introduce high-amplitude pulses, it’s like playing a loud surprise note during a quiet song. The way the neurons respond to this pulse can lead to various interesting patterns.

The Effect of Strong Pulses

When we hit neurons with these strong pulses, the effect can vary widely depending on how fast the pulses come in and how strong they are.

A Spiral Wave Chimera

At first, our neurons are singing together in harmony, creating a spiral wave chimera. This means some neurons are synchronized and working together, while others are doing their own thing. It’s a bit like a dance party where some are doing the cha-cha while others are busting out the robot.

The Chaos of Pulses

However, when we introduce the pulses, things can either go smoothly or get a bit chaotic. Sometimes, the initial harmony is disrupted, causing neurons to lose their rhythm. In these moments, we see new patterns emerge, like a messy dance floor with everyone bumping into each other.

Constructive Effects

Surprisingly, these pulses can also create new and exciting patterns. Picture a group of musicians suddenly inspired by a loud cheer from the crowd. They start creating new tunes and rhythms that they never played before. In our case, this means new types of spiral wave patterns where groups of neurons oscillate independently, creating fascinating behaviors.

Types of New Patterns

We observed several types of new patterns caused by these high-amplitude pulses. Here are some of the highlights.

Multi-Front Spiral Waves

One of the most exciting discoveries is the emergence of multi-front spiral waves. Imagine a spiral staircase, but instead of just one path, there are several closely spaced paths for people to walk on. These waves can move differently than typical spiral waves. Each path represents different activities happening independently but also in sync.

Labyrinth-Like Structures

Another pattern we found looks like a maze or labyrinth. It’s not just a straight path; instead, it twists and turns, making things more complex and interesting. This can make it tougher for the neurons to find their way, leading to unique communication among them.

Why Does This Matter?

Understanding how neurons interact and how patterns can change due to external influences helps us learn about natural processes in the body and even leads to potential medical applications. For instance, if we can understand how chaotic patterns form in heart tissues, it might help in addressing heart rhythm issues.

Real-Life Applications

By studying these neuron behaviors and patterns, we can gain insights into various fields, from understanding how our brain works to designing better artificial intelligence. It’s like figuring out how to keep a band playing harmoniously, even when some musicians decide to go a bit wild for a moment.

Conclusion

In summary, this exploration of the patterns formed in a network of Hindmarsh-Rose neurons reveals how delicate and complex the interplay between structure and behavior can be. The introduction of strong external pulses leads to a rich tapestry of dynamics, showcasing both destruction and creation in neuronal communication.

So next time you think about your brain, remember the amazing dance happening among your neurons. They may not always seem to be in sync, but together they create a beautiful orchestra of thoughts, feelings, and actions.

Original Source

Title: Spatiotemporal patterns in a 2D lattice of Hindmarsh-Rose neurons induced by high-amplitude pulses

Abstract: We present numerical results for the effects of influence by high-amplitude periodic pulse series on a network of nonlocally coupled Hindmarsh-Rose neurons with 2D geometry of the topology. We consider the case when the pulse amplitude is larger than the amplitude of oscillations in the autonomous network for a wide range of pulse frequencies. An initial regime in the network is a spiral wave chimera. We show that the effects of external influence strongly depend on a balance between the pulse frequency and frequencies of the spectral peaks of the autonomous network. Except for the destructive role of the pulses, when they lead to loss of stability of the initial regime, we have also revealed a constructive role. We have found for the first time the emergence of a new type of multi-front spiral waves, when the wavefront represents a set of several close fronts, and the wave dynamics are significantly different from common spiral waves: neurons oscillate independently to the wave rotation, the rotation velocity is in many times less than for the common spiral wave, etc. We have also discovered several types of cluster spatiotemporal structures induced by the pulses.

Authors: Jaidev S. Ram, Sishu Shankar Muni, Igor A. Shepelev

Last Update: Nov 4, 2024

Language: English

Source URL: https://arxiv.org/abs/2411.02130

Source PDF: https://arxiv.org/pdf/2411.02130

Licence: https://creativecommons.org/licenses/by-nc-sa/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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