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Findings in recent years on the sensitivity of convolutional neural networks to additive noise, light conditions and to the wholeness of the training dataset, indicate that this technology still lacks the robustness needed for the…

Image and Video Processing · Electrical Eng. & Systems 2020-07-23 Dan Malowany , Hugo Guterman

This article presents a naturalist approach to cognition understood as a network of info-computational, autopoietic processes in living systems. It provides a conceptual framework for the unified view of cognition as evolved from the…

Other Computer Science · Computer Science 2014-01-29 Gordana Dodig-Crnkovic

Finding general principles underlying brain function has been appealing to scientists. Indeed, in some branches of science like physics and chemistry (and to some degree biology) a general theory often can capture the essence of a wide…

Neurons and Cognition · Quantitative Biology 2023-12-22 Shervin Safavi

Recent advances in machine learning have dramatically improved our ability to model language, vision, and other high-dimensional data, yet they continue to struggle with one of the most fundamental aspects of biological systems: movement.…

Artificial Intelligence · Computer Science 2025-07-04 Melanie Segado , Felipe Parodi , Jordan K. Matelsky , Michael L. Platt , Eva B. Dyer , Konrad P. Kording

Information is a key concept in evolutionary biology. Information is stored in biological organism's genomes, and used to generate the organism as well as to maintain and control it. Information is also "that which evolves". When a…

Populations and Evolution · Quantitative Biology 2012-07-25 Christoph Adami

The mirror neuron theory that has enjoyed continued validations was developed with no particular attention to the phenomenon of the vision. Understandably the perception of vision has always been thought to happen, naturally, as that for…

Neurons and Cognition · Quantitative Biology 2022-03-01 Jahan N. Schad

Merely by existing, all physical systems contain information, and physical dynamics transforms and processes that information. This note investigates the information processing power of living systems. Living systems harvest free energy…

Other Quantitative Biology · Quantitative Biology 2025-06-23 Seth Lloyd , Michele Reilly

Early in development, infants learn to extract surprisingly complex aspects of visual scenes. This early learning comes together with an initial understanding of the extracted concepts, such as their implications, causality, and using them…

Artificial Intelligence · Computer Science 2026-03-27 Shify Treger , Shimon Ullman

This paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter problems because it is difficult to describe life and cognition in terms…

Information Theory · Computer Science 2013-04-05 Carlos Gershenson

Culture evolves, not just in the trivial sense that cultures change over time, but also in the strong sense that such change is governed by Darwinian principles. Both biological and cultural evolution are essentially cumulative selection…

Populations and Evolution · Quantitative Biology 2016-09-16 Chris Buskes

Evolution is the fundamental physical process that gives rise to biological phenomena. Yet it is widely treated as a subset of population genetics, and thus its scope is artificially limited. As a result, the key issues of how rapidly…

Populations and Evolution · Quantitative Biology 2017-08-23 Nigel Goldenfeld , Carl Woese

Energy is no doubt an intuitive concept. Following a previous analysis on the nature of elementary particles and associated elementary quantum fields, the peculiar status and role of energy is scrutinised further at elementary and larger…

A physicalistic argument can support the idea that cognition is an emergent property driven by dissipation. This argument suggests that cognition arises not from any fiat desire to understand the world, but rather because a certain type of…

General Physics · Physics 2024-01-03 Karl Svozil

Visual motion estimation is a computationally intensive, but important task for sighted animals. Replicating the robustness and efficiency of biological visual motion estimation in artificial systems would significantly enhance the…

Computer Vision and Pattern Recognition · Computer Science 2015-11-03 Garrick Orchard , Ralph Etienne-Cummings

Understanding human actions is a key problem in computer vision. However, recognizing actions is only the first step of understanding what a person is doing. In this paper, we introduce the problem of predicting why a person has performed…

Computer Vision and Pattern Recognition · Computer Science 2016-12-01 Carl Vondrick , Deniz Oktay , Hamed Pirsiavash , Antonio Torralba

Over the last decade, Computer Vision, the branch of Artificial Intelligence aimed at understanding the visual world, has evolved from simply recognizing objects in images to describing pictures, answering questions about images, aiding…

Computer Vision and Pattern Recognition · Computer Science 2021-11-16 Ranjay Krishna , Mitchell Gordon , Li Fei-Fei , Michael Bernstein

Nowadays, we have witnessed the great success of AI in various applications, including image classification, game playing, protein structure analysis, language translation, and content generation. Despite these powerful applications, there…

Neurons and Cognition · Quantitative Biology 2023-01-23 Luyao Chen , Zhiqiang Chen , Longsheng Jiang , Xiang Liu , Linlu Xu , Bo Zhang , Xiaolong Zou , Jinying Gao , Yu Zhu , Xizi Gong , Shan Yu , Sen Song , Liangyi Chen , Fang Fang , Si Wu , Jia Liu

A method of discovering how neurons are connected to process information is presented here: Design a simple logic circuit that can perform a single, biologically advantageous function. Engineering concepts can be helpful in choosing the…

Neurons and Cognition · Quantitative Biology 2025-03-07 Lane Yoder

One of the basic frameworks in science views behavioral products as a process within a dynamic system. The mechanism might be seen as a representation of many instances of centralized control in real time. Many real systems, however,…

Dynamical Systems · Mathematics 2019-08-19 Chulwook Park

We attempt to provide a comprehensive model of evolution of science across millennia taking into account the contributions of other intellectual traditions, cultural value system and increasing in sophistication of humans in their study of…

History and Philosophy of Physics · Physics 2016-05-09 M N Vahia