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The visual pathway involves complex networks of cells and regions which contribute to the encoding and processing of visual information. While some aspects of visual perception are understood, there are still many unanswered questions…

Neurons and Cognition · Quantitative Biology 2024-01-09 Peter Beech , Shanshan Jia , Zhaofei Yu , Jian K. Liu

Pedestrian trajectory prediction for surveillance video is one of the important research topics in the field of computer vision and a key technology of intelligent surveillance systems. Social relationship among pedestrians is a key factor…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Yusheng Peng , Gaofeng Zhang , Jun Shi , Benzhu Xu , Liping Zheng

Even during fixation the human eye is constantly in low amplitude motion, jittering over small angles in random directions at up to 100Hz. This motion results in all features of the image on the retina constantly traversing a number of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 David W Arathorn , Josephine C. D'Angelo , Austin Roorda

Human vision possesses a special type of visual processing systems called peripheral vision. Partitioning the entire visual field into multiple contour regions based on the distance to the center of our gaze, the peripheral vision provides…

Computer Vision and Pattern Recognition · Computer Science 2022-10-14 Juhong Min , Yucheng Zhao , Chong Luo , Minsu Cho

Brain stimulation is a powerful tool for understanding cortical function and holds promise for therapeutic interventions in neuropsychiatric disorders. Initial visual prosthetics apply electric microstimulation to early visual cortex which…

Neurons and Cognition · Quantitative Biology 2025-10-07 Johannes Mehrer , Ben Lonnqvist , Anna Mitola , Abdulkadir Gokce , Paolo Papale , Martin Schrimpf

Visual perspective-taking (VPT), the ability to understand the viewpoint of another person, enables individuals to anticipate the actions of other people. For instance, a driver can avoid accidents by assessing what pedestrians see. Humans…

Computation and Language · Computer Science 2024-09-23 Gracjan Góral , Alicja Ziarko , Michal Nauman , Maciej Wołczyk

Attention is an indispensable component of active vision. Contrary to the widely accepted notion that temporal cortex processing primarily focusses on passive object recognition, a series of very recent studies emphasize the role of…

Neurons and Cognition · Quantitative Biology 2021-11-25 Hamidreza Ramezanpour , Mazyar Fallah

The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage-wise computations therein remain poorly understood. Here, we compared temporal…

Computer Vision and Pattern Recognition · Computer Science 2016-01-13 Radoslaw M. Cichy , Aditya Khosla , Dimitrios Pantazis , Antonio Torralba , Aude Oliva

Efficient interaction with the visual world requires not only accurate object identification but also precise localization of objects in space. While spatial ("where") processing has traditionally been attributed to dorsal stream pathways,…

Neurons and Cognition · Quantitative Biology 2026-03-13 Elizaveta Yakubovskaya , Hamidreza Ramezanpour , Matteo Dunnhofer , Kohitij Kar

In order to engage in complex social interaction, humans learn at a young age to infer what others see and cannot see from a different point-of-view, and learn to predict others' plans and behaviors. These abilities have been mostly lacking…

Robotics · Computer Science 2021-05-12 Boyuan Chen , Yuhang Hu , Robert Kwiatkowski , Shuran Song , Hod Lipson

Accurate human trajectory prediction is one of the most crucial tasks for autonomous driving, ensuring its safety. Yet, existing models often fail to fully leverage the visual cues that humans subconsciously communicate when navigating the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-31 Yang Gao , Saeed Saadatnejad , Alexandre Alahi

Over the past decade, predictive modeling of neural responses in the primate visual system has advanced significantly, largely driven by various DNN approaches. These include models optimized directly for visual recognition, cross-modal…

Neural and Evolutionary Computing · Computer Science 2025-09-22 Shreya Saha , Ishaan Chadha , Meenakshi Khosla

Neurons in the dorsal subregion of the medial superior temporal (MSTd) area respond to large, complex patterns of retinal flow, implying a role in the analysis of self-motion. Some neurons are selective for the expanding radial motion that…

Neurons and Cognition · Quantitative Biology 2017-02-24 Michael Beyeler , Nikil Dutt , Jeffrey L. Krichmar

The brain processes visual inputs having structure over a large range of spatial scales. The precise mechanisms or algorithms used by the brain to achieve this feat are largely unknown and an open problem in visual neuroscience. In…

Neurons and Cognition · Quantitative Biology 2018-07-04 Keith Hayton , Dimitrios Moirogiannis , Marcelo Magnasco

A social behavior analysis is used to study how a group of people interacts with another group. The analysis helps to understand how social behavior leads to its consequences such as what business decision is made after a businessmen's…

Social and Information Networks · Computer Science 2016-07-22 Henry Y. T. Ngan , Hideki Kawai , Kazuo Kunieda , Keiji Yamada

Our research aims to develop machines that learn to perceive visual motion as do humans. While recent advances in computer vision (CV) have enabled DNN-based models to accurately estimate optical flow in naturalistic images, a significant…

Computer Vision and Pattern Recognition · Computer Science 2025-01-23 Zitang Sun , Yen-Ju Chen , Yung-Hao Yang , Yuan Li , Shin'ya Nishida

Micro-actions are subtle, localized movements lasting 1-3 seconds such as scratching one's head or tapping fingers. Such subtle actions are essential for social communication, ubiquitously used in natural interactions, and thus critical for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Naga VS Raviteja Chappa , Evangelos Sariyanidi , Lisa Yankowitz , Gokul Nair , Casey J. Zampella , Robert T. Schultz , Birkan Tunç

The visual pathway of human brain includes two sub-pathways, ie, the ventral pathway and the dorsal pathway, which focus on object identification and dynamic information modeling, respectively. Both pathways comprise multi-layer structures,…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Zhifan Wan , Jie Zhang , Changzhen Li , Shiguang Shan

Neural correlations during a cognitive task are central to study brain information processing and computation. However, they have been poorly analyzed due to the difficulty of recording simultaneous single neurons during task performance.…

Neurons and Cognition · Quantitative Biology 2016-02-17 Adrià Tauste Campo , Marina Martinez-Garcia , Verónica Nácher , Ranulfo Romo , Gustavo Deco

Though vision transformers (ViTs) have achieved state-of-the-art performance in a variety of settings, they exhibit surprising failures when performing tasks involving visual relations. This begs the question: how do ViTs attempt to perform…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Michael A. Lepori , Alexa R. Tartaglini , Wai Keen Vong , Thomas Serre , Brenden M. Lake , Ellie Pavlick