scholarly journals Retinal waves prime visual motion detection by simulating future optic flow

Science ◽  
2021 ◽  
Vol 373 (6553) ◽  
pp. eabd0830
Author(s):  
Xinxin Ge ◽  
Kathy Zhang ◽  
Alexandra Gribizis ◽  
Ali S. Hamodi ◽  
Aude Martinez Sabino ◽  
...  
Keyword(s):  
Optic Flow ◽  
Visual Motion ◽  
Visual Response ◽  
Mouse Development ◽  
Retinal Waves ◽  
Spatial Propagation ◽  
Wave Directionality ◽  
Eye Opening ◽  
Circuit Components ◽  
Superior Colliculus Neurons

The ability to perceive and respond to environmental stimuli emerges in the absence of sensory experience. Spontaneous retinal activity prior to eye opening guides the refinement of retinotopy and eye-specific segregation in mammals, but its role in the development of higher-order visual response properties remains unclear. Here, we describe a transient window in neonatal mouse development during which the spatial propagation of spontaneous retinal waves resembles the optic flow pattern generated by forward self-motion. We show that wave directionality requires the same circuit components that form the adult direction-selective retinal circuit and that chronic disruption of wave directionality alters the development of direction-selective responses of superior colliculus neurons. These data demonstrate how the developing visual system patterns spontaneous activity to simulate ethologically relevant features of the external world and thereby instruct self-organization.

Children’s perceptual sensitivity to optic flow-like visual motion differs from adults.

2021 ◽  
Vol 57 (11) ◽  
pp. 1810-1821
Author(s):  
Yiming Qian ◽  
Andrea R. Seisler ◽  
Rick O. Gilmore
Keyword(s):  
Optic Flow ◽  
Visual Motion ◽  
Perceptual Sensitivity

scholarly journals Neural selectivity for visual motion in macaque area V3A

2020 ◽  
Author(s):  
Nardin Nakhla ◽  
Yavar Korkian ◽  
Matthew R. Krause ◽  
Christopher C. Pack
Keyword(s):  
Visual Cortex ◽  
Optic Flow ◽  
Functional Role ◽  
Visual Motion ◽  
Flow Patterns ◽  
Brain Regions ◽  
Direction Selectivity ◽  
Motion Processing ◽  
Imaging Studies ◽  
Motion Direction

AbstractThe processing of visual motion is carried out by dedicated pathways in the primate brain. These pathways originate with populations of direction-selective neurons in the primary visual cortex, which project to dorsal structures like the middle temporal (MT) and medial superior temporal (MST) areas. Anatomical and imaging studies have suggested that area V3A might also be specialized for motion processing, but there have been very few studies of single-neuron direction selectivity in this area. We have therefore performed electrophysiological recordings from V3A neurons in two macaque monkeys (one male and one female) and measured responses to a large battery of motion stimuli that includes translation motion, as well as more complex optic flow patterns. For comparison, we simultaneously recorded the responses of MT neurons to the same stimuli. Surprisingly, we find that overall levels of direction selectivity are similar in V3A and MT and moreover that the population of V3A neurons exhibits somewhat greater selectivity for optic flow patterns. These results suggest that V3A should be considered as part of the motion processing machinery of the visual cortex, in both human and non-human primates.Significance statementAlthough area V3A is frequently the target of anatomy and imaging studies, little is known about its functional role in processing visual stimuli. Its contribution to motion processing has been particularly unclear, with different studies yielding different conclusions. We report a detailed study of direction selectivity in V3A. Our results show that single V3A neurons are, on average, as capable of representing motion direction as are neurons in well-known structures like MT. Moreover, we identify a possible specialization for V3A neurons in representing complex optic flow, which has previously been thought to emerge in higher-order brain regions. Thus it appears that V3A is well-suited to a functional role in motion processing.

scholarly journals Optic Flow: A History

i-Perception ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 204166952110557
Author(s):  
Diederick C. Niehorster
Keyword(s):  
Optic Flow ◽  
Visual Motion ◽  
Scientific Literature ◽  
Archival Research ◽  
Visual World ◽  
Global Pattern ◽  
Self Motion

The concept of optic flow, a global pattern of visual motion that is both caused by and signals self-motion, is canonically ascribed to James Gibson's 1950 book “ The Perception of the Visual World.” There have, however, been several other developments of this concept, chiefly by Gwilym Grindley and Edward Calvert. Based on rarely referenced scientific literature and archival research, this article describes the development of the concept of optic flow by the aforementioned authors and several others. The article furthermore presents the available evidence for interactions between these authors, focusing on whether parts of Gibson's proposal were derived from the work of Grindley or Calvert. While Grindley's work may have made Gibson aware of the geometrical facts of optic flow, Gibson's work is not derivative of Grindley's. It is furthermore shown that Gibson only learned of Calvert's work in 1956, almost a decade after Gibson first published his proposal. In conclusion, the development of the concept of optic flow presents an intriguing example of convergent thought in the progress of science.

Central complex neurons exhibit behaviorally gated responses to visual motion in Drosophila

2014 ◽  
Vol 111 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Peter T. Weir ◽  
Bettina Schnell ◽  
Michael H. Dickinson
Keyword(s):  
Optic Flow ◽  
Calcium Imaging ◽  
Visual Motion ◽  
Central Complex ◽  
Direct Measure ◽  
Forward Motion ◽  
Sensory Stimuli ◽  
Whole Cell Patch Clamp ◽  
Baseline Activity ◽  
Tethered Flight

Sensory systems provide abundant information about the environment surrounding an animal, but only a small fraction of that information is relevant for any given task. One example of this requirement for context-dependent filtering of a sensory stream is the role that optic flow plays in guiding locomotion. Flying animals, which do not have access to a direct measure of ground speed, rely on optic flow to regulate their forward velocity. This observation suggests that progressive optic flow, the pattern of front-to-back motion on the retina created by forward motion, should be especially salient to an animal while it is in flight, but less important while it is standing still. We recorded the activity of cells in the central complex of Drosophila melanogaster during quiescence and tethered flight using both calcium imaging and whole cell patch-clamp techniques. We observed a genetically identified set of neurons in the fan-shaped body that are unresponsive to visual motion while the animal is quiescent. During flight their baseline activity increases, and they respond to front-to-back motion with changes relative to this baseline. The results provide an example of how nervous systems selectively respond to complex sensory stimuli depending on the current behavioral state of the animal.

scholarly journals Motion detection: cells, circuits and algorithms

Neuroforum ◽  
2018 ◽  
Vol 24 (2) ◽  
pp. A61-A72 ◽  
Author(s):  
Giordano Ramos-Traslosheros ◽  
Miriam Henning ◽  
Marion Silies
Keyword(s):  
Motion Detection ◽  
Visual Motion ◽  
Motion Cues ◽  
Detection Algorithms ◽  
Preferred Direction ◽  
Direct Measurements ◽  
Classical Models ◽  
Light Signals ◽  
Circuit Components ◽  
Visual Motion Cues

Abstract Many animals use visual motion cues to inform different behaviors. The basis for motion detection is the comparison of light signals over space and time. How a nervous system performs such spatiotemporal correlations has long been considered a paradigmatic neural computation. Here, we will first describe classical models of motion detection and introduce core motion detecting circuits in Drosophila. Direct measurements of the response properties of the first direction-selective cells in the Drosophila visual system have revealed new insights about the implementation of motion detection algorithms. Recent data suggest a combination of two mechanisms, a nonlinear enhancement of signals moving into the preferred direction, as well as a suppression of signals moving into the opposite direction. These findings as well as a functional analysis of the circuit components have shown that the microcircuits that process elementary motion are more complex than anticipated. Building on this, we have the opportunity to understand detailed properties of elementary, yet intricate microcircuits.

Longitudinal study of perception of structured optic flow and random visual motion in infants using high-density EEG

2014 ◽  
Vol 18 (3) ◽  
pp. 436-451 ◽  
Author(s):  
Seth B. Agyei ◽  
Magnus Holth ◽  
F.R. Ruud van der Weel ◽  
Audrey L.H. van der Meer
Keyword(s):  
Longitudinal Study ◽  
Optic Flow ◽  
Visual Motion ◽  
High Density

A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals

1993 ◽  
Vol 5 (3) ◽  
pp. 374-391 ◽  
Author(s):  
Markus Lappe ◽  
Josef P. Rauschecker
Keyword(s):  
Neural Network ◽  
Motion Perception ◽  
Network Model ◽  
Neural Network Model ◽  
Optic Flow ◽  
Cortical Area ◽  
Visual Motion ◽  
Flow Fields ◽  
Subspace Algorithm ◽  
Motion Flow

Interest in the processing of optic flow has increased recently in both the neurophysiological and the psychophysical communities. We have designed a neural network model of the visual motion pathway in higher mammals that detects the direction of heading from optic flow. The model is a neural implementation of the subspace algorithm introduced by Heeger and Jepson (1990). We have tested the network in simulations that are closely related to psychophysical and neurophysiological experiments and show that our results are consistent with recent data from both fields. The network reproduces some key properties of human ego-motion perception. At the same time, it produces neurons that are selective for different components of ego-motion flow fields, such as expansions and rotations. These properties are reminiscent of a subclass of neurons in cortical area MSTd, the triple-component neurons. We propose that the output of such neurons could be used to generate a computational map of heading directions in or beyond MST.

Reversed Visual Motion and Self-Sustaining Eye Oscillations

Perception ◽  
1997 ◽  
Vol 26 (7) ◽  
pp. 823-830 ◽  
Author(s):  
Lothar Spillmann ◽  
Stuart Anstis ◽  
Anne Kurtenbach ◽  
Ian Howard
Keyword(s):  
Eye Movements ◽  
Flow Field ◽  
Negative Feedback ◽  
Positive Feedback ◽  
Optic Flow ◽  
Visual Motion ◽  
Optokinetic Nystagmus ◽  
Retinal Images ◽  
Wide Range ◽  
Reversed Motion

A random-dot field undergoing counterphase flicker paradoxically appears to move in the same direction as head and eye movements, ie opposite to the optic-flow field. The effect is robust and occurs over a wide range of flicker rates and pixel sizes. The phenomenon can be explained by reversed phi motion caused by apparent pixel movement between successive retinal images. The reversed motion provides a positive feedback control of the display, whereas under normal conditions retinal signals provide a negative feedback. This altered polarity invokes self-sustaining eye movements akin to involuntary optokinetic nystagmus.

Visual Motion Priors Differ for Infants and Mothers

2014 ◽  
Vol 26 (11) ◽  
pp. 2652-2668 ◽  
Author(s):  
Florian Raudies ◽  
Rick O. Gilmore
Keyword(s):  
Empirical Data ◽  
Optic Flow ◽  
Visual Motion ◽  
Motion Direction ◽  
Normal Distributions ◽  
Data Support

Visual motion direction ambiguities due to edge-aperture interaction might be resolved by speed priors, but scant empirical data support this hypothesis. We measured optic flow and gaze positions of walking mothers and the infants they carried. Empirically derived motion priors for infants are vertically elongated and shifted upward relative to mothers. Skewed normal distributions fitted to estimated retinal speeds peak at values above 20[Formula: see text]/sec.

scholarly journals Experience-dependent development and maintenance of binocular neurons in the mouse visual cortex

2019 ◽  
Author(s):  
Kyle R. Jenks ◽  
Jason D. Shepherd
Keyword(s):  
Visual Cortex ◽  
Binocular Vision ◽  
Visual Processing ◽  
Normal Development ◽  
Multiple Time ◽  
Visual Response ◽  
Response Properties ◽  
Dependent Plasticity ◽  
Eye Opening

ABSTRACTThe normal development of neuronal circuits requires both hard-wired gene expression and experience. Sensory processing, such as vision, is especially sensitive to perturbations in experience. However, the exact contribution of experience to neuronal visual response properties and binocular vision remains unknown. To determine how visual response properties developin vivo, we used single cell resolution two-photon calcium imaging of mouse binocular visual cortex at multiple time-points after eye opening. Few neurons are binocularly responsive immediately after eye opening and respond solely to either the contralateral or ipsilateral eye. Binocular neurons emerge during development, which requires visual experience, and show specific tuning of visual response properties. As binocular neurons emerge, activity between the two eyes becomes more correlated in the neuropil. Since experience-dependent plasticity requires the expression of activity-dependent genes, we determined whether the plasticity geneArcmediates the development of normal visual response properties. Surprisingly, rather than mirroring the effects of visual deprivation, mice that lackArcshow increased numbers of binocular neurons during development. Strikingly, removingArcin adult binocular visual cortex increases the numbers of binocular neurons and recapitulates the developmental phenotype, suggesting cortical circuits that mediate visual processing require ongoing experience-dependent plasticity. Thus, experience is critical for the normal development and maintenance of circuits required to process binocular vision.

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