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In the domain of face recognition, there exists a puzzling timing discrepancy between results from macaque neurophysiology on the one hand and human electrophysiology on the other. Single unit recordings in macaques have demonstrated face…

神经元与认知 · 定量生物学 2022-08-02 Evan Ehrenberg , Kleovoulos Leo Tsourides , Hossein Nejati , Ngai-Man Cheung , Pawan Sinha

Two prominent strategies that the human visual system uses to reduce incoming information are spatial integration and selective attention. Although spatial integration summarizes and combines information over the visual field, selective…

神经元与认知 · 定量生物学 2019-06-28 Alessandro Grillini , Remco J. Renken , Frans W. Cornelissen

While Large Language Models (LLMs) have significantly advanced natural language processing, aligning them with human preferences remains an open challenge. Although current alignment methods rely primarily on explicit feedback, eye-tracking…

计算与语言 · 计算机科学 2025-06-04 Angela Lopez-Cardona , Sebastian Idesis , Miguel Barreda-Ángeles , Sergi Abadal , Ioannis Arapakis

What fascinates us about animal behavior is its richness and complexity, but understanding behavior and its neural basis requires a simpler description. Traditionally, simplification has been imposed by training animals to engage in a…

神经元与认知 · 定量生物学 2016-07-13 Greg J. Stephens , Leslie C. Osborne , William Bialek

Joint visual attention is characterized by two or more individuals looking at a common target at the same time. The ability to identify joint attention in scenes, the people involved, and their common target, is fundamental to the…

计算机视觉与模式识别 · 计算机科学 2018-04-13 Daniel Harari , Joshua B. Tenenbaum , Shimon Ullman

Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. This work aims to investigate the neurological variation of human brain responses during…

计算机视觉与模式识别 · 计算机科学 2023-09-28 Naveen Kanigiri , Manohar Suggula , Debanjali Bhattacharya , Neelam Sinha

Participants in an eye-movement experiment performed a modified version of the Landolt-C paradigm (Williams & Pollatsek, 2007) in which they searched for target squares embedded in linear arrays of spatially contiguous "words" (i.e., short…

神经元与认知 · 定量生物学 2015-03-27 Yanping Liu , Erik D. Reichle , Ren Huang

When we encounter a new person or place, we may easily encode it into our memories, or we may quickly forget it. Recent work finds that this likelihood of encoding a given entity - memorability - is highly consistent across viewers and…

神经元与认知 · 定量生物学 2020-04-21 Wilma A. Bainbridge

When our eyes are presented with the same image, the brain processes it to view it as a single coherent one. The lateral shift in the position of our eyes, causes the two images to possess certain differences, which our brain exploits for…

神经与进化计算 · 计算机科学 2018-11-27 Yashaswini Murthy

Ample evidence suggests that face processing in human and non-human primates is performed differently compared with other objects. Converging reports, both physiologically and psychophysically, indicate that faces are processed in…

神经元与认知 · 定量生物学 2016-11-01 Amirhossein Farzmahdi , Karim Rajaei , Masoud Ghodrati , Reza Ebrahimpour , Seyed-Mahdi Khaligh-Razavi

When searching for an object in a scene, how does the brain decide where to look next? Theories of visual search suggest the existence of a global attentional map, computed by integrating bottom-up visual information with top-down,…

神经元与认知 · 定量生物学 2014-04-28 Thomas Miconi , Laura Groomes , Gabriel Kreiman

Eye movement prediction is a promising area of research with the potential to improve performance and the user experience of systems based on eye-tracking technology. In this study, we analyze individual differences in gaze prediction…

人机交互 · 计算机科学 2025-01-30 Kateryna Melnyk , Lee Friedman , Dmytro Katrychuk , Oleg Komogortsev

Humans can effortlessly describe what they see, yet establishing a shared representational format between vision and language remains a significant challenge. Emerging evidence suggests that human brain representations in both vision and…

神经元与认知 · 定量生物学 2025-07-30 Katerina Marie Simkova , Adrien Doerig , Clayton Hickey , Ian Charest

Understanding reader behaviors such as skimming, deep reading, and scanning is essential for improving educational instruction. While prior eye-tracking studies have trained models to recognize reading behaviors, they often rely on…

Humans can approach complex visual problems by mentally simulating intermediate visual steps, rather than reasoning through language alone. Inspired by this, several works on Vision-Language Models have recently explored chain-of-thought…

计算机视觉与模式识别 · 计算机科学 2026-05-20 André G. Viveiros , Nuno Gonçalves , André F. T. Martins , Matthias Lindemann

In this study, we investigated whether transfer learning from macaque monkeys could improve human pose estimation. Current state-of-the-art pose estimation techniques, often employing deep neural networks, can match human annotation in…

计算机视觉与模式识别 · 计算机科学 2024-12-23 Bradley Scott , Clarisse de Vries , Aiden Durrant , Nir Oren , Edward Chadwick , Dimitra Blana

Because of permanent use-dependent brain plasticity, all lifelong individuals' experiences are believed to influence the cognitive aging quality. In older individuals, both former and current musical practices have been associated with…

Understanding what makes a video memorable has important applications in advertising or education technology. Towards this goal, we investigate spatio-temporal attention mechanisms underlying video memorability. Different from previous…

计算机视觉与模式识别 · 计算机科学 2024-11-06 Prajneya Kumar , Eshika Khandelwal , Makarand Tapaswi , Vishnu Sreekumar

Virtual reality (VR) is increasingly being used as a research platform for investigating human responses to environmental variables. While VR provides tremendous advantages in terms of variable isolation and manipulation, and ease of…

人机交互 · 计算机科学 2023-08-31 Saleh Kalantari , Bill Tong Xu , Armin Mostafavi , Anne Seoyoung Lee , Qi Yang

Eye-tracking has potential to provide rich behavioral data about human cognition in ecologically valid environments. However, analyzing this rich data is often challenging. Most automated analyses are specific to simplistic artificial…

计算机视觉与模式识别 · 计算机科学 2022-11-22 Karan Uppal , Jaeah Kim , Shashank Singh