scholarly journals Direct Contribution of Auditory Motion Information to Sound-Induced Visual Motion Perception

i-Perception ◽  
10.1068/ic890 ◽  
2011 ◽  
Vol 2 (8) ◽  
pp. 890-890
Author(s):  
Souta Hidaka ◽  
Wataru Teramoto ◽  
Yoichi Sugita ◽  
Yuko Manaka ◽  
Shuichi Sakamoto ◽  
...  
Keyword(s):  
Motion Perception ◽  
Visual Motion ◽  
Motion Information ◽  
Auditory Motion ◽  
Visual Motion Perception ◽  
Direct Contribution

scholarly journals Auditory Motion Information Drives Visual Motion Perception

PLoS ONE ◽  
2011 ◽  
Vol 6 (3) ◽  
pp. e17499 ◽  
Author(s):  
Souta Hidaka ◽  
Wataru Teramoto ◽  
Yoichi Sugita ◽  
Yuko Manaka ◽  
Shuichi Sakamoto ◽  
...  
Keyword(s):  
Motion Perception ◽  
Visual Motion ◽  
Motion Information ◽  
Auditory Motion ◽  
Visual Motion Perception

scholarly journals Visual Motion Influences the Contingent Auditory Motion Aftereffect

2003 ◽  
Vol 14 (4) ◽  
pp. 357-361 ◽  
Author(s):  
Jean Vroomen ◽  
Beatrice de Gelder
Keyword(s):  
Psychometric Function ◽  
Motion Perception ◽  
Visual Stimulus ◽  
Visual Motion ◽  
Motion Aftereffect ◽  
Motion Processing ◽  
Induction Phase ◽  
Motion Information ◽  
Auditory Motion ◽  
Auditory Motion Aftereffect

In this study, we show that the contingent auditory motion aftereffect is strongly influenced by visual motion information. During an induction phase, participants listened to rightward-moving sounds with falling pitch alternated with leftward-moving sounds with rising pitch (or vice versa). Auditory aftereffects (i.e., a shift in the psychometric function for unimodal auditory motion perception) were bigger when a visual stimulus moved in the same direction as the sound than when no visual stimulus was presented. When the visual stimulus moved in the opposite direction, aftereffects were reversed and thus became contingent upon visual motion. When visual motion was combined with a stationary sound, no aftereffect was observed. These findings indicate that there are strong perceptual links between the visual and auditory motion-processing systems.

scholarly journals Congruent audio-visual stimulation during adaptation modulates the subsequently experienced visual motion aftereffect

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Minsun Park ◽  
Randolph Blake ◽  
Yeseul Kim ◽  
Chai-Youn Kim
Keyword(s):  
Motion Perception ◽  
Visual Motion ◽  
Visual Stimulation ◽  
Sensory Information ◽  
Motion Aftereffect ◽  
Auditory Motion ◽  
Visual Motion Perception ◽  
Subsequent Test ◽  
Sensory Neural ◽  
Adaptation Phase

AbstractSensory information registered in one modality can influence perception associated with sensory information registered in another modality. The current work focuses on one particularly salient form of such multisensory interaction: audio-visual motion perception. Previous studies have shown that watching visual motion and listening to auditory motion influence each other, but results from those studies are mixed with regard to the nature of the interactions promoting that influence and where within the sequence of information processing those interactions transpire. To address these issues, we investigated whether (i) concurrent audio-visual motion stimulation during an adaptation phase impacts the strength of the visual motion aftereffect (MAE) during a subsequent test phase, and (ii) whether the magnitude of that impact was dependent on the congruence between auditory and visual motion experienced during adaptation. Results show that congruent direction of audio-visual motion during adaptation induced a stronger initial impression and a slower decay of the MAE than did the incongruent direction, which is not attributable to differential patterns of eye movements during adaptation. The audio-visual congruency effects measured here imply that visual motion perception emerges from integration of audio-visual motion information at a sensory neural stage of processing.

Role of the Vermal Cerebellum in Visually Guided Eye Movements and Visual Motion Perception

2019 ◽  
Vol 5 (1) ◽  
pp. 247-268 ◽  
Author(s):  
Peter Thier ◽  
Akshay Markanday
Keyword(s):  
Eye Movements ◽  
Motion Perception ◽  
Visual Motion ◽  
Cerebellar Nuclei ◽  
Visually Guided ◽  
Past Performance ◽  
Visual Motion Perception ◽  
Oculomotor Vermis ◽  
Retinal Information

The cerebellar cortex is a crystal-like structure consisting of an almost endless repetition of a canonical microcircuit that applies the same computational principle to different inputs. The output of this transformation is broadcasted to extracerebellar structures by way of the deep cerebellar nuclei. Visually guided eye movements are accommodated by different parts of the cerebellum. This review primarily discusses the role of the oculomotor part of the vermal cerebellum [the oculomotor vermis (OMV)] in the control of visually guided saccades and smooth-pursuit eye movements. Both types of eye movements require the mapping of retinal information onto motor vectors, a transformation that is optimized by the OMV, considering information on past performance. Unlike the role of the OMV in the guidance of eye movements, the contribution of the adjoining vermal cortex to visual motion perception is nonmotor and involves a cerebellar influence on information processing in the cerebral cortex.

scholarly journals Human visual motion perception shows hallmarks of Bayesian structural inference

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sichao Yang ◽  
Johannes Bill ◽  
Jan Drugowitsch ◽  
Samuel J. Gershman
Keyword(s):  
Motion Perception ◽  
Visual Motion ◽  
Probabilistic Reasoning ◽  
Choice Model ◽  
Human Motion ◽  
Object Motion ◽  
Ideal Observer ◽  
Structure Identification ◽  
Structural Inference ◽  
Visual Motion Perception

AbstractMotion relations in visual scenes carry an abundance of behaviorally relevant information, but little is known about how humans identify the structure underlying a scene’s motion in the first place. We studied the computations governing human motion structure identification in two psychophysics experiments and found that perception of motion relations showed hallmarks of Bayesian structural inference. At the heart of our research lies a tractable task design that enabled us to reveal the signatures of probabilistic reasoning about latent structure. We found that a choice model based on the task’s Bayesian ideal observer accurately matched many facets of human structural inference, including task performance, perceptual error patterns, single-trial responses, participant-specific differences, and subjective decision confidence—especially, when motion scenes were ambiguous and when object motion was hierarchically nested within other moving reference frames. Our work can guide future neuroscience experiments to reveal the neural mechanisms underlying higher-level visual motion perception.

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