When we move our eyes around in real-world scenes, we typically have several peripheral previews of an object before we direct our eyes straight at the object. Numerous studies on transsaccadic memory have investigated whether there is any evidence for the integration of peripheral object information acquired presaccadically with foveal object information acquired postsaccadically. We review this evidence to illustrate the currently dominant view that transsaccadic object memory is sparse and contains little visual object detail. However, based on some recent studies of the role of postsaccadic stimulus blanking in transsaccadic change detection, we hypothesize that transsaccadic object memory involves the automatic emergence of a visual analog: a high-capacity, non-selective, internal representation of visual object detail. This hypothesis is tested by examining cued detection of intrasaccadic changes in the in-depth orientation of objects in scenes. The data provide preliminary support for the presence of the visual analog, but also show that its functionality is strictly limited by attentional and temporal constraints on the process of reading out information from the visual analog.
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http://dx.doi.org/10.1016/s0079-6123(02)40050-7 | DOI Listing |
Front Neurorobot
January 2025
School of Information and Communication Engineering, Hainan University, Haikou, China.
A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic control during maneuver. RS-DDPG algorithm is based on deep reinforcement learning (DRL) and designs a reward function to optimize the parameters of DDPG to achieve the required tracking accuracy and stability. A visual SLAM algorithm based on semantic segmentation and geometric information is proposed to address the issues of poor robustness and susceptibility to interference from dynamic objects in dynamic scenes for SLAM based on visual sensors.
View Article and Find Full Text PDFSovrem Tekhnologii Med
January 2025
PhD, Leading Researcher; Institute of Industrial Ecology of the Ural Branch of the Russian Academy of Sciences, 20 S. Kovalevskoy St., Ekaterinburg, 620990, Russia.
Unlabelled: is to assess the accuracy of spatial object localization in mono and stereo modes of visual-to-auditory sensory substitution by means of the developed system tested on persons with normal or corrected-to-normal vision.
Materials And Methods: A prototype of a visual-to-auditory sensory substitution device based on a video camera with two lenses was prepared. Software to convert the signal from a video camera into an audio signal in mono and stereo modes was developed.
Sci Rep
January 2025
Support Centre for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
This study aims to establish an imitation task of multi-finger haptics in the context of regular grasping and regrasping processes during activities of daily living. A video guided the 26 healthy, right-handed volunteers through the three phases of the task: (1) fixation of a hand holding a cuboid, (2) observation of the sensori-motor manipulation, (3) imitation of that motor action. fMRI recorded the task; graph analysis of the acquisitions revealed the associated functional cerebral connectivity patterns.
View Article and Find Full Text PDFJ Neurosci
January 2025
The Department of Psychology and The Department of Cognitive and Brain Sciences, The Hebrew University of Jerusalem.
Predictive updating of an object's spatial coordinates from pre-saccade to post-saccade contributes to stable visual perception. Whether object features are predictively remapped remains contested. We set out to characterise the spatiotemporal dynamics of feature processing during stable fixation and active vision.
View Article and Find Full Text PDFVision Res
January 2025
Laboratoire Cognition Langage et Développement, Université Libre de Bruxelles, Belgium.
Animals and humans possess an adaptive ability to rapidly estimate approximate numerosity, yet the visual mechanisms underlying this process remain poorly understood. Evidence suggests that approximate numerosity relies on segmented perceptual units modulated by grouping cues, with perceived numerosity decreasing when objects are connected by irrelevant lines, independent of low-level features. However, most studies have focused on physical objects.
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