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How Mice See and Move: A Neat Study

This study reveals how mice process sight and movement.

Stefano Zucca, Auguste Schulz, Pedro J. Gonçalves, Jakob H. Macke, Aman B. Saleem, Samuel G. Solomon

― 7 min read


Mice and Motion: Brain Mice and Motion: Brain Insights and visual signals. Study reveals how mice process movement
Table of Contents

This article takes a look at a fascinating study on how mice perceive visual stimuli and respond with movement, especially when objects approach them. It dives into the way mice's brains process the signals they get from their eyes while they move, and how this influences their behavior. Let’s break it down into simpler parts.

The Challenge of Identifying Visual Stimuli

When mice see something coming toward them, they have to figure out whether the movement is due to them moving or the object moving. It can be confusing because the same images can appear depending on either scenario. For example, if a ball rolls toward a mouse, it could be because the ball is moving or because the mouse is running toward it. Mice need to decide quickly whether the approaching object is a potential snack or a danger.

To survive, mice have developed certain brain areas that help them distinguish between these scenarios. The superior colliculus (SC) is one such brain area. It receives input from the eyes and is involved in guiding the mouse's Movements, whether it's to approach food or flee from something scary.

How the Brain Processes Visual and Movement Signals

The SC has different layers, and each layer reacts differently to Visual Cues. The top layer tends to focus more on what is seen, while the deeper layers are more about movement, especially how the mouse is moving. This means that if a mouse is running, the signals it sends to its brain can change based on whether it is running toward something or if something is coming towards it.

The aim of the study was to explore how the SC responds in these scenarios. The researchers set up a fun virtual reality situation where mice could run on a treadmill while seeing objects approaching them in a virtual space. This allowed the researchers to observe how these mice reacted to various visual cues while controlling their movements.

Setting Up the Experiment

The researchers secured some mice and placed them on a treadmill that was connected to a virtual reality system. As the mice ran on the treadmill, they saw a ball coming toward them at a constant speed. The mice couldn't escape since they were restrained, but they could still interact with this virtual environment.

They recorded the mice's brain activity with special equipment that could pick up signals coming from thousands of Neurons at once. This way, they could see how the brain reacted when an object loomed toward the mouse and how it differed when the mice were moving versus when they were still.

Observing Looming Objects

When the researchers showcased the ball looming toward the mice, they noted that the top layer of SC neurons was really responsive. Most of these neurons got excited when the ball approached. Meanwhile, the deeper layers had a mixed bag of reactions. Some neurons fired up when the ball came close, while others calmed down. This suggests that different layers of the SC have unique roles: the top layer is all about visual action, while the deeper layers keep an eye on how fast and in what direction the mice are moving.

The Impact of Movement on Visual Responses

As the mice moved around, the researchers noticed that their brain's responses changed. When the mice were still, the top layer of neurons responded strongly to the ball. However, as they started moving, the deeper layers began to pick up the pace. This indicates that locomotion can affect how the brain processes visual information.

The researchers grouped the trials based on whether the mice were running or not, and they discovered that being in motion could either increase or decrease the neuron activity in the top layer. On average, the deeper layer showed a consistent increase in activity when the mice moved, suggesting that these neurons are more engaged when the mouse is running.

The Response to Self-Movement

Objects can appear to loom when a mouse moves closer to them too. The researchers designed a situation where the ball stayed still, and the mice moved toward it. When the mice approached the stationary object, the top layer of neurons responded in a steady pattern of increased activity, peaking as the mice got closer.

In the deeper layer, however, the responses were varied. Some neurons were more active when the mice were near the ball, while others reduced their activity. Most neurons showed a gradual increase or decrease in activity as the mice closed in. This shows that while the top layer tends to have a consistent response to visual stimuli, the deeper layer gives a more varied reaction depending on movement.

Slowing Down Near Objects

Interestingly, whenever the mice got near an object, they instinctively slowed down. This behavior appeared even when they first encountered the virtual object. As they became more familiar with the environment, they started slowing down more. It didn’t matter if the object was black or white; the mice showed this slowdown in behavior consistently.

When the researchers compared the mice's speed during normal trials and replayed trials where the visuals didn’t match their movement, they found the mice often ran slower or even stopped moving altogether. This suggests that the mice are somewhat aware of whether their visual experiences align with their own movements.

The Brain’s Response to Misalignment

The researchers also investigated how the brain responds when the visuals don't match the expected movement. They found that when the mice stopped moving but the visuals continued, the activity in the deeper layer of the SC dropped significantly. This suggests that the neurons are sensitive to the mismatch between what the mice see and how they move.

To put it simply, if a mouse expects to see the world change because it’s moving, but that doesn't happen, the brain takes note. It’s like expecting a chocolate cake when you open the oven and finding a pie instead—confusing!

The Importance of Visual and Movement Signals

The results showed that the top layer of the SC is more focused on visual signals, while the deeper layer is sensitive to self-movement. When the mice encountered something looming, they instinctively reacted, slowing down or changing their course as needed. The researchers noted this instinctive behavior serves as an important survival trait, allowing mice to stay alert to potential dangers or food.

Conclusion: What This All Means

This research sheds light on how mice process visual information when they move and how their brains help them react. It shows that the brain does more than just register what's happening; it actively compares visual stimuli to the expected changes due to movement. Mice use their experiences to inform their behavior, which helps them survive in the wild.

So, next time you see a mouse freeze or dart away, remember—they're not just reacting randomly. Their brains are busy processing a whole lot of information, making quick decisions to stay safe. Just like any of us trying to avoid a speeding car or catch a glimpse of pizza (because, who wouldn’t?). The intricate dance between vision and movement is vital for understanding animal behavior, and this study provides a sneak peek into the brain's workings during those moments of action. It’s a reminder of how animals, even small ones like mice, are equipped with complex systems to help them make sense of their world.

Original Source

Title: Loom response in mouse superior colliculus depends on sensorimotor context

Abstract: Visual motion is produced both by an organisms movement through the world, and by objects moving in the world such as potential predators. Choosing appropriate behaviour therefore requires organisms to distinguish these sources of visual motion. Here we asked how mice integrate self-movement with looming visual motion by combining virtual reality and neural recordings from superior colliculus (SC), a brain area important in visually-guided approach and avoidance behaviours. We first measured locomotion behaviour and neural activity while animals approached an object in virtual reality, and while the same object loomed at them. In both cases, vision dominated activity in superficial layers (SCs), while locomotion had more influence on activity in intermediate layers (SCim). In addition, animals instinctively slowed their locomotion when nearing the object, or when the object neared them. To directly test animals ability to distinguish self-from object motion we replayed the visual images generated during object approach. Locomotion behaviour often changed during replay, showing animals are able to establish if visual motion is matched to their self-movement. Further, decoders trained on locomotion behaviour, or on population activity in SC, particularly in SCim, were able to reliably discriminate epochs of replay and object approach. We conclude that both mouse behaviour and SC activity encode whether looming visual motion arises from self-or object movement, with implications for understanding sensorimotor coordination in dynamic environments. HighlightsO_LIWe recorded from superficial (SCs) and intermediate (SCim) superior colliculus in VR C_LIO_LIVision dominated SCs, while SCim was modulated by both vision and locomotion C_LIO_LIMice altered behaviour when visual experience did not match that expected from their locomotion C_LIO_LIPopulation activity differed between matched and unmatched visual experiences, particularly in SCim C_LI

Authors: Stefano Zucca, Auguste Schulz, Pedro J. Gonçalves, Jakob H. Macke, Aman B. Saleem, Samuel G. Solomon

Last Update: 2024-12-12 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.06.627189

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.06.627189.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/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 biorxiv for use of its open access interoperability.

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