Cell-type-specific binocular vision guides predation in mice

Johnson, Keith P.; Fitzpatrick, Michael J.; Zhao, Lei; Wang, Bing; McCracken, Sean; Williams, Paul R.; Kerschensteiner, Daniel

doi:10.1016/j.neuron.2021.03.010

Cited by 93 publications

(118 citation statements)

References 94 publications

Supporting

Mentioning

107

Contrasting

Order By: Relevance

“…In addition, there was very little directional preference for any cluster in response to stimulation across the full RF. We also found that motion origin sensitivity was not limited to the moving bar stimulus, but that motion-sensitive BCs also preferred looming stimuli to receding stimuli (Fig- 232 ure S3a), suggesting that specific BC types might be impor-233 tant for several types of motion sensing tasks that are known 234 to be performed within the retina (4,6,10). nomenon observed throughout the mammalian visual system (i.e.…”

Section: Introduction 23mentioning

confidence: 83%

“…Beyond the DS circuit, there are many other RGC types that 580 could rely on BC motion sensitivity information. In mam-581 mals, several RGC and AC types are object motion sensitive, 582 responding specifically to local motion or differential motion 583 (4,6,15,68,72,85,91,(100)(101)(102), including several promi-584 nent primate RGC types, such as parasol RGCs (81,86). In 585 general, RGCs and ACs must fulfill a few requirements to 586 be capable of integrating BC motion information into their 587 computations.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Center-surround interactions underlie bipolar cell motion sensing in the mouse retina

Strauß

et al. 2021

Preprint

View full text Add to dashboard Cite

Motion is a critical aspect of vision. We studied the representation of motion in mouse retinal bipolar cells and found, surprisingly, that some bipolar cells possess motion-sensing capabilities that rely on their center-surround receptive fields. Using a glutamate sensor, we directly observed motion-sensitive bipolar cell synaptic output, which was strongest for local motion and dependent on the motion's origin. We characterized bipolar cell receptive fields and found that there are motion and non-motion sensitive bipolar cell types, the majority being motion sensitive. Next, we used these bipolar cell receptive fields along with connectomics to design biophysical models of downstream cells. The models and experiments demonstrated that bipolar cells pass motion-sensitive excitation to starburst amacrine cells through direction-specific signals mediated by bipolar cells' center-surround receptive field structure. As bipolar cells provide excitation to most amacrine and ganglion cells, their motion sensitivity may contribute to motion processing throughout the visual system.

show abstract

Section: Introduction 23mentioning

confidence: 83%

mentioning

confidence: 99%

Center-surround interactions underlie bipolar cell motion sensing in the mouse retina

Strauß

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Web-based resource Standardization in the definitions of RGC types among different research groups is essential to support studies on retinal computation, circuit connectivity, and disease pathology. Additionally, there is rapidly expanding interest in the projection patterns of different RGC types throughout the brain (Dhande et al, 2015;Johnson et al, 2021;Martersteck et al, 2017), which similarly relies on standardized type definitions. For these reasons, we created an open online resource at rgctypes.org where users can search and download full datasets, use our classification algorithm, and contribute their own data to this effort.…”

Section: Relationships Between Morphology Function and Gene Expressionmentioning

confidence: 99%

Unified classification of mouse retinal ganglion cells using function, morphology, and gene expression

Goetz

Jacobi

et al. 2021

Preprint

View full text Add to dashboard Cite

Classification and characterization of neuronal types is critical for understanding their function and dysfunction. Neuronal classification schemes typically rely on measurements of electrophysiological, morphological and molecular features, but aligning these data sets has been challenging. Here, we present a unified classification of retinal ganglion cells (RGCs), the sole retinal output neurons. We used visually-evoked responses to classify 1777 mouse RGCs into 42 types. We also obtained morphological or transcriptomic data from subsets and used these measurements to align the functional classification to publicly available morphological and transcriptomic data sets. We created an online database that allows users to browse or download the data and to classify RGCs from their light responses using a machine-learning algorithm. This work provides a resource for studies of RGCs, their upstream circuits in the retina, and their projections in the brain, and establishes a framework for future efforts in neuronal classification and open data distribution.

show abstract

“…Given the VOR stabilized panoramic field of view it is not clear what part of the visual field mice use to detect and track prey (but see: (Johnson, Fitzpatrick et al 2021). Mouse retina contains retinal ganglion cells (RGCs), the output cells of the retina, with a broad diversity of functional classes (Zhang, Kim et al 2012, Bleckert, Schwartz et al 2014, Baden, Berens et al 2016, Franke, Berens et al 2017.…”

Section: Introductionmentioning

confidence: 99%

“…The challenge is to measure what part of the visual field the mouse is attending to during a visually based tracking task (Hoy, Yavorska et al 2016) and the location of all objects within the field of view during the behavior. While recent studies have implied the relationship between prey and retina through tracking head position (Johnson, Fitzpatrick et al 2021) or measured both the horizontal and vertical eye rotations (Meyer, Poort et al 2018, Meyer, O'Keefe et al 2020) during pursuit behavior (Michaiel, Abe et al 2020) to uncover a large proportion of stabilizing eye-rotations, what is missing is the extent and location of the area used when detecting and pursuing prey, and the relationship to the retina (Bleckert, Schwartz et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Freely-moving mice visually pursue prey using a retinal area with least optic flow

Holmgren

Stahr

Wallace

et al. 2021

Preprint

View full text Add to dashboard Cite

Mice have a large visual field that is constantly stabilized by vestibular ocular reflex driven eye rotations that counter head-rotations. While maintaining their extensive visual coverage is advantageous for predator detection, mice also track and capture prey using vision. However, in the freely moving animal quantifying object location in the field of view is challenging. Here, we developed a method to digitally reconstruct and quantify the visual scene of freely moving mice performing a visually based prey capture task. By isolating the visual sense and combining a mouse eye optic model with the head and eye rotations, the detailed reconstruction of the digital environment and retinal features were projected onto the corneal surface for comparison, and updated throughout the behavior. By quantifying the spatial location of objects in the visual scene and their motion throughout the behavior, we show that the image of the prey is maintained within a small area, the functional focus, in the upper-temporal part of the retina. This functional focus coincides with a region of minimal optic flow in the visual field and consequently minimal motion-induced image blur during pursuit, as well as the reported high density-region of Alpha-ON sustained retinal ganglion cells.

show abstract

Cell-type-specific binocular vision guides predation in mice

Cited by 93 publications

References 94 publications

Center-surround interactions underlie bipolar cell motion sensing in the mouse retina

Center-surround interactions underlie bipolar cell motion sensing in the mouse retina

Unified classification of mouse retinal ganglion cells using function, morphology, and gene expression

Freely-moving mice visually pursue prey using a retinal area with least optic flow

Contact Info

Product

Resources

About