Summary: A new study reveals that rats, like primates, have specialized visual neurons for accurately perceiving motion.
By recording rat cortical cells and analyzing their behavior with AI models, researchers identified a cluster of neurons similar to “pattern cells” in primates, vital for processing complex motion.
This discovery highlights the advanced motion processing system in rodents and supports the use of rats as models for human vision research, potentially benefiting the development of artificial vision systems and understanding visual pathologies.
- Researchers found rat brain neurons that function similarly to primate “pattern cells,” essential for accurate motion perception.
- The study used AI models to confirm these neurons’ capability to process complex visual motion.
- This finding reinforces the use of rodents in vision research, offering insights into both natural and artificial vision systems.
To accurately perceive the direction of moving objects, rats could exploit a small but very useful cluster of visual neurons, which seem to work in the same way as the “pattern cells” found in the cerebral cortex of primates.
Thanks to these neurons, rats could rely on a rather advanced motion processing system, based on extraction of high-level visual information from retinal images.
These are the conclusions of a new SISSA study, just published in the journal Science Advances.
To investigate whether the rat brain contains neurons that are able to solve the “aperture problem”, an essential step in the accurate perception of movement, a team led by Prof. Davide Zoccolan recorded a specific group of cells in rat visual cortex and analysed their behaviour using artificial intelligence models to account for the cells’ functions.
The results have shown that these neurons do have properties that are comparable to those of the “pattern cells” found in the primate visual system. Understanding the processes that underpin the functions of these cells can be useful not only to expand our understanding of the visual system but also to inspire the development of innovative artificial vision systems.
This new study proves how rats are excellent animal models for this purpose, as well as for studying vision and the pathologies that can afflict it, such as neurodegenerative or neurodevelopmental disorders.
How the vision of movement works: the aperture problem
“Estimating the direction along which an object moves is a very complex computation from a perceptual point of view. Every object is made up of many different parts, which can be roughly considered as a set of oriented segments” explains Prof. Zoccolan, who led the study.
Zoccolan continues: “The neurons at the initial stages of our visual system are sensitive to the presence of visual stimuli in a very small part of the visual field (their “receptive field”).
“This means that each of them can only “see” at any given time only one of these oriented segments. Overall, it is as if these neurons were able to break down the image of an object into many small components: lots of small, oriented segments.
“This decomposition is a fundamental step in the process carried out by our visual system to interpret the images collected by the retina. But it poses a challenge when it comes to perceiving movement. In fact, these neurons can only measure the motion component of an object that is perpendicular to the oriented contour they encode.
“To give an example: it is as if we were looking at our surroundings through a tiny hole: we would be unable to see the true, complete movement of an object. This is what the experts call the “aperture problem”.
“To accurately perceive the direction of movement of a complex object, the signals provided by these neurons (known as “component” cells) need to be further processed and integrated, so as to give us a complete view of a moving object.
“In primates, this operation takes place along the “dorsal stream”, which starts from the primary visual cortex to reach higher-order visual areas in the parietal lobe, in an increasingly sophisticated hierarchy of functions” continues Zoccolan.
The information coming from the component cells then reaches a type of specialized neurons in our visual system: the pattern cells.
“These cells can process all the incoming data, then integrate them to allow us to see the movement of the object in its entirety” explains Zoccolan.
According to Artificial Intelligence, rats also have specialised global motion detectors
“In our study, we investigated which of the cortical visual neurons in the rat were subject to the aperture problem and behaved like component cells, and which of them were immune to it and behaved like pattern cells” explains Giulio Matteucci, first author of the research.
“We identified a small population of neurons of the pattern type in two different visual areas of rat cortex. This indicates that the brains of rodents also contain neurons which are able to provide a realistic view of moving objects, in a similar way as in the cortex of primates” continues the researcher.
“And this, despite the obvious differences between the two species. In rodents, these types of cells are found in much smaller numbers and are scattered across various regions of the visual cortex, rather than clustered in specific areas, as it happens in primates”.
To understand whether the cells observed by the team can really be considered “pattern cells”, the researchers resorted to AI.
“We worked with artificial neural networks, deep learning models which can faithfully reproduce different aspects of the behaviour of visual neurons in primates” continued Matteucci.
He explains: “It was only by developing predictive models based on these neural networks that we were able to account for the responses of rat pattern cells. That was how we managed to rule out alternative hypotheses and confirm that these are in fact real pattern cells”.
Why this study is important
“Our study yielded several interesting conclusions” continued Prof. Zoccolan.
“First, we found that a visual system that is much simpler than ours, and with a far shallower hierarchical structure, can nevertheless contain high-level neurons that are specialized for advanced motion processing.
“This is interesting from a comparative point of view. In addition, it could trigger new computational studies and inspire new models of artificial vision”.
A second strength of the study concerns the prospects for future research: “Over the past 15 years, rodents have been widely used to study visual processing, both in normal and in pathological conditions. But the question, for vision scientists, remains the same: to what extent are these animals good models to investigate human visual functions?
“With this work, we have provided additional evidence to support the conclusion that rodent visual cortex is similar enough to ours to be worth studying it, thus leveraging the extraordinary array of experimental tools that are available in these species to examine neuronal circuits.”
In fact, future work will need to investigate in detail how these specialised neurons function in rats. Davide Zoccolan concludes: “We know that they behave like pattern cells, but we don’t know yet the blueprint of the neuronal circuits behind this capability. This is a question that is open for future studies”.
About this visual neuroscience research news
Author: Donato Ramani
Contact: Donato Ramani – SISSA
Image: The image is credited to Neuroscience News
Original Research: Open access.
“Truly pattern: Nonlinear integration of motion signals is required to account for the responses of pattern cells in rat visual cortex” by Davide Zoccolan et al. Science Advances
Truly pattern: Nonlinear integration of motion signals is required to account for the responses of pattern cells in rat visual cortex
A key feature of advanced motion processing in the primate dorsal stream is the existence of pattern cells—specialized cortical neurons that integrate local motion signals into pattern-invariant representations of global direction.
Pattern cells have also been reported in rodent visual cortex, but it is unknown whether the tuning of these neurons results from truly integrative, nonlinear mechanisms or trivially arises from linear receptive fields (RFs) with a peculiar geometry.
Here, we show that pattern cells in rat primary (V1) and lateromedial (LM) visual cortex process motion direction in a way that cannot be explained by the linear spatiotemporal structure of their RFs. Instead, their tuning properties are consistent with and well explained by those of units in a state-of-the-art neural network model of the dorsal stream.
This suggests that similar cortical processes underlay motion representation in primates and rodents.
The latter could thus serve as powerful model systems to unravel the underlying circuit-level mechanisms.