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The information in an individual finite object (like a binary string) is commonly measured by its Kolmogorov complexity. One can divide that information into two parts: the information accounting for the useful regularity present in the…

Computational Complexity · Computer Science 2007-05-23 Paul Vitanyi

The human visual system is an intricate network of brain regions that enables us to recognize the world around us. Despite its abundant lateral and feedback connections, object processing is commonly viewed and studied as a feedforward…

Neurons and Cognition · Quantitative Biology 2019-10-09 Tim C Kietzmann , Courtney J Spoerer , Lynn Sörensen , Radoslaw M Cichy , Olaf Hauk , Nikolaus Kriegeskorte

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

Human intelligence seems so mysterious that we have not successfully understood its foundation until now. Here, I want to present a basic cognitive process, motion mapping cognition (MMC), which should be a nondecomposable primary function…

Neurons and Cognition · Quantitative Biology 2024-02-08 Zhenping Xie

Data visualizations are powerful tools for communicating patterns in quantitative data. Yet understanding any data visualization is no small feat -- succeeding requires jointly making sense of visual, numerical, and linguistic inputs…

Human-Computer Interaction · Computer Science 2025-05-26 Arnav Verma , Kushin Mukherjee , Christopher Potts , Elisa Kreiss , Judith E. Fan

How the human brain processes information during different cognitive tasks is one of the greatest questions in contemporary neuroscience. Understanding the statistical properties of brain signals during specific activities is one promising…

Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analysis such as in health care applications. Despite their…

The automatic understanding of video content is advancing rapidly. Empowered by deeper neural networks and large datasets, machines are increasingly capable of understanding what is concretely visible in video frames, whether it be objects,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Gowreesh Mago , Pascal Mettes , Stevan Rudinac

Traditionally, semantics has been seen as a feature of human language. The advent of the information era has led to its widespread redefinition as an information feature. Contrary to this praxis, I define semantics as a special kind of…

Artificial Intelligence · Computer Science 2012-01-05 Emanuel Diamant

Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user's interest or search intention is necessary to recommend and retrieve relevant information…

Information Retrieval · Computer Science 2016-12-09 Manuel J. A. Eugster , Tuukka Ruotsalo , Michiel M. Spapé , Oswald Barral , Niklas Ravaja , Giulio Jacucci , Samuel Kaski

Recent progress in multimodal reasoning has been significantly advanced by textual Chain-of-Thought (CoT), a paradigm where models conduct reasoning within language. This text-centric approach, however, treats vision as a static, initial…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Zhaochen Su , Peng Xia , Hangyu Guo , Zhenhua Liu , Yan Ma , Xiaoye Qu , Jiaqi Liu , Yanshu Li , Kaide Zeng , Zhengyuan Yang , Linjie Li , Yu Cheng , Heng Ji , Junxian He , Yi R. Fung

Object recognition is a key function in both human and machine vision. While recent studies have achieved fMRI decoding of seen and imagined contents, the prediction is limited to training examples. We present a decoding approach for…

Neurons and Cognition · Quantitative Biology 2016-09-28 Tomoyasu Horikawa , Yukiyasu Kamitani

This explanation of what a brain is and does rests on informational first principles, because information theory, like its parent theory thermodynamics, is mathematically sacrosanct, itself resting on real-valued probability.Just as…

Neurons and Cognition · Quantitative Biology 2014-10-01 William Softky

Recognition and reasoning are two pillars of visual understanding. However, these tasks have an imbalance in focus; whereas recent advances in neural networks have shown strong empirical performance in visual recognition, there has been…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Calvin Luo , Boqing Gong , Ting Chen , Chen Sun

We are perceiving and communicating with the world in a multisensory manner, where different information sources are sophisticatedly processed and interpreted by separate parts of the human brain to constitute a complex, yet harmonious and…

Computer Vision and Pattern Recognition · Computer Science 2024-06-12 Ye Zhu , Yu Wu , Nicu Sebe , Yan Yan

Neural networks are widely adopted to solve complex and challenging tasks. Especially in high-stakes decision-making, understanding their reasoning process is crucial, yet proves challenging for modern deep networks. Feature visualization…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Ada Gorgun , Bernt Schiele , Jonas Fischer

How much information do large brain networks integrate as a whole over the sum of their parts? Can the dynamical complexity of such networks be globally quantified in an information-theoretic way and be meaningfully coupled to brain…

Neurons and Cognition · Quantitative Biology 2016-12-22 Xerxes D. Arsiwalla , Paul Verschure

Traditionally, cognition has been considered a uniquely human capability involving perception, memory, learning, reasoning, and problem-solving. However, recent research shows that cognition is a fundamental ability shared by all living…

Artificial Intelligence · Computer Science 2024-12-03 Gordana Dodig-Crnkovic

Addressing the question of visualising human mind could help us to find regions that are associated with observed cognition and responsible for expressing the elusive mental image, leading to a better understanding of cognitive function.…

Neurons and Cognition · Quantitative Biology 2021-02-11 Pan Wang , Rui Zhou , Shuo Wang , Ling Li , Wenjia Bai , Jialu Fan , Chunlin Li , Peter Childs , Yike Guo

Visual knowledge is a new form of knowledge representation that can encapsulate visual concepts and their relations in a succinct, comprehensive, and interpretable manner, with a deep root in cognitive psychology. As the knowledge about the…

Artificial Intelligence · Computer Science 2024-04-09 Wenguan Wang , Yi Yang , Yunhe Pan
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