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Related papers: Sensitivity to Timing and Order in Human Visual Co…

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We present a novel method for few-shot video classification, which performs appearance and temporal alignments. In particular, given a pair of query and support videos, we conduct appearance alignment via frame-level feature matching to…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Khoi D. Nguyen , Quoc-Huy Tran , Khoi Nguyen , Binh-Son Hua , Rang Nguyen

Analyzing temporal developments is crucial for the accurate prognosis of many medical conditions. Temporal changes that occur over short time scales are key to assessing the health of physiological functions, such as the cardiac cycle.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Chengzhi Shen , Martin J. Menten , Hrvoje Bogunović , Ursula Schmidt-Erfurth , Hendrik Scholl , Sobha Sivaprasad , Andrew Lotery , Daniel Rueckert , Paul Hager , Robbie Holland

Humans learn quickly even in tasks that contain complex visual information. This is due in part to the efficient formation of compressed representations of visual information, allowing for better generalization and robustness. However,…

Artificial Intelligence · Computer Science 2025-05-16 Tailia Malloy , Miao Liu , Matthew D. Riemer , Tim Klinger , Gerald Tesauro , Chris R. Sims

The ventral, dorsal, and lateral streams in high-level human visual cortex are implicated in distinct functional processes. Yet, deep neural networks (DNNs) trained on a single task model the entire visual system surprisingly well, hinting…

Machine Learning · Computer Science 2025-10-13 Ammar I Marvi , Nancy G Kanwisher , Meenakshi Khosla

If neuroscientists were asked which brain area is responsible for object recognition in primates, most would probably answer infero-temporal (IT) cortex. While IT is likely responsible for fine discriminations, and it is accordingly…

Neurons and Cognition · Quantitative Biology 2024-07-09 Christian Quaia , Richard J Krauzlis

Adaptation in the retina is thought to optimize the encoding of natural light signals into sequences of spikes sent to the brain. However, adaptation also entails computational costs: adaptive code is intrinsically ambiguous, because output…

Neurons and Cognition · Quantitative Biology 2014-01-28 Gašper Tkačik , Anandamohan Ghosh , Elad Schneidman , Ronen Segev

Modern vision-language models (VLMs) excel at many multimodal tasks, yet their grasp of temporal information in video remains weak and has not been adequately evaluated. We probe this gap with a deceptively simple but revealing challenge:…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Shiho Matta , Lis Kanashiro Pereira , Peitao Han , Fei Cheng , Shigeru Kitazawa

Because organisms are able to sense its passage, it is perhaps tempting to treat time as a sensory modality, akin to vision or audition. Indeed, certain features of sensory estimation, such as Weber's law, apply to timing and sensation…

Neurons and Cognition · Quantitative Biology 2025-04-01 Caroline Haimerl , Filipe S. Rodrigues , Joseph J. Paton

The brain is hierarchically organized to process sensory signals. But, to what extent do functional connections within and across areas shape this hierarchical order? We addressed this problem in the thalamocortical network, while monkeys…

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

Background: Spatio-temporal receptive fields (STRF) of visual neurons are often estimated using spike-triggered averaging of binary pseudo-random stimulus sequences. The stimuli are visual displays that contain black and white pixels that…

Quantitative Methods · Quantitative Biology 2024-08-16 Murat Okatan

Neural systems process information across a broad range of intrinsic timescales, both within and across cortical areas. While such diversity is a hallmark of biological networks, its computational role in nonlinear information processing…

Neurons and Cognition · Quantitative Biology 2025-06-10 Tomoki Kurikawa

Our visual system is astonishingly efficient at detecting moving objects. This process is mediated by the neurons which connect the primary visual cortex (V1) to the middle temporal (MT) area. Interestingly, since Kuffler's pioneering…

Neurons and Cognition · Quantitative Biology 2014-01-23 Stephen G. Odaibo

Now published in Nature Human Behavior doi: https://doi.org/10.1038/s41562-025-02252-z Human vision is mediated by a complex interconnected network of cortical brain areas that jointly represent visual information. While these areas are…

Neurons and Cognition · Quantitative Biology 2025-06-26 Alessandro T. Gifford , Maya A. Jastrzębowska , Johannes J. D. Singer , Radoslaw M. Cichy

Visual navigation requires a whole range of capabilities. A crucial one of these is the ability of an agent to determine its own location and heading in an environment. Prior works commonly assume this information as given, or use methods…

Machine Learning · Computer Science 2024-02-20 Moritz Lange , Raphael C. Engelhardt , Wolfgang Konen , Laurenz Wiskott

It is well-known that visual attention can be tuned in a context-dependent manner to elementary features, such as searching for all redder items or the reddest item, supporting a relational theory of visual attention. However, in previous…

Neurons and Cognition · Quantitative Biology 2023-01-10 Zachary Hamblin-Frohman , Koralalage Don Raveen Amarasekera , Stefanie I. Becker

The current dominant visual processing paradigm in both human and machine research is the feedforward, layered hierarchy of neural-like processing elements. Within this paradigm, visual saliency is seen by many to have a specific role,…

Computer Vision and Pattern Recognition · Computer Science 2020-02-03 John K. Tsotsos , Iuliia Kotseruba , Calden Wloka

The visual systems of many mammals, including humans, is able to integrate the geometric information of visual stimuli and to perform cognitive tasks already at the first stages of the cortical processing. This is thought to be the result…

Computer Vision and Pattern Recognition · Computer Science 2014-10-06 Giacomo Cocci , Davide Barbieri , Giovanna Citti , Alessandro Sarti

The face-vase illusion introduced by Rubin demonstrates how one can switch back and forth between two different interpretations depending on how the figure outlines are assigned [1]. This border ownership assignment is an important step in…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Paria Mehrani , John K. Tsotsos

The time-changing nature of our world demands processing of huge amounts of information in fast and reliable way to generate successful behaviors. Therefore, significant brain resources are devoted to process spatiotemporal information.…