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While Large Language Models (LLMs) excel at temporal reasoning tasks like event ordering and duration estimation, their ability to perceive the actual passage of time remains unexplored. We investigate whether LLMs perceive the passage of…

Computation and Language · Computer Science 2025-06-09 Minghan Wang , Ye Bai , Thuy-Trang Vu , Ehsan Shareghi , Gholamreza Haffari

Living systems exhibit a range of fundamental characteristics: they are active, self-referential, self-modifying systems. This paper explores how these characteristics create challenges for conventional scientific approaches and why they…

Emerging Technologies · Computer Science 2025-08-18 Samson Abramsky , Wolfgang Banzhaf , Leo S. D. Caves , Michael Levin , Penousal Machado , Charles Ofria , Susan Stepney , Roger White

Popular hypotheses about the origins of collective adaptation are related to two basic behaviours: protection from predators and a combined search for food resources. Among the anti-predator explanations, the predator confusion hypothesis…

Multiagent Systems · Computer Science 2022-09-15 Georgi Ivanov , George Palamas

Visual recognition takes a small fraction of a second and relies on the cascade of signals along the ventral visual stream. Given the rapid path through multiple processing steps between photoreceptors and higher visual areas, information…

Neurons and Cognition · Quantitative Biology 2014-04-28 Jedediah M. Singer , Joseph R. Madsen , William S. Anderson , Gabriel Kreiman

The activity of neurons within brain circuits has been ubiquitously reported to be correlated. The impact of these correlations on brain function has been extensively investigated. Correlations can in principle increase or decrease the…

Neurons and Cognition · Quantitative Biology 2025-07-24 Miguel Ibáñez-Berganza , Giulio Bondanelli , Stefano Panzeri

Information processing in the brain requires integration of information over time. Such an integration can be achieved if signals are maintained in the network activity for the required period, as quantified by the intrinsic timescale.…

Being able to measure time, whether directly or indirectly, is a significant advantage for an organism. It allows for the timely reaction to regular or predicted events, reducing the pressure for fast processing of sensory input. Thus,…

Other Quantitative Biology · Quantitative Biology 2019-06-19 Andrei D. Robu , Christoph Salge , Chrystopher L. Nehaniv , Daniel Polani

This paper presents Wanderer, a model of how autonomous adaptive systems coordinate internal biological needs with moment-by-moment assessments of the probabilities of events in the external world. The extent to which Wanderer moves about…

Neural and Evolutionary Computing · Computer Science 2019-07-11 Liane Gabora

Knowledge about space and time is necessary to solve problems in the physical world: An AI agent situated in the physical world and interacting with objects often needs to reason about positions of and relations between objects; and as soon…

Artificial Intelligence · Computer Science 2023-01-16 Jae Hee Lee , Michael Sioutis , Kyra Ahrens , Marjan Alirezaie , Matthias Kerzel , Stefan Wermter

Feedback is crucial to motion perception in animals' visual systems where its spatial and temporal dynamics are often shaped by movement patterns of surrounding environments. However, such spatio-temporal feedback has not been deeply…

Computer Vision and Pattern Recognition · Computer Science 2022-11-21 Hongxin Wang , Zhiyan Zhong , Fang Lei , Xiaohua Jing , Jigen Peng , Shigang Yue

Almost all organisms show some kind of time periodicity in their behavior. Especially in mammals the neurons of the suprachiasmatic nucleus form a biological clock regulating the activity-inactivity cycle of the animal. This clock is…

Adaptation and Self-Organizing Systems · Physics 2011-11-24 Domien G. M. Beersma , Henk W. Broer , Konstantinos Efstathiou , Kim A. Gargar , Igor Hoveijn

The interplay between circadian and reward function is well understood in animal models, and is of growing interest as an aetiological explanation in psychopathologies. Circadian modulation of reward function has been demonstrated in human…

Neurons and Cognition · Quantitative Biology 2018-12-12 Greg Murray , Catherine Orr , Jamie E. M. Byrne , Matthew E. Hughes , Susan L. Rossell , Sheri L. Johnson

Human beings and other vertebrates show remarkable performance and efficiency in locomotion, but the functioning of their biological control systems for locomotion is still only partially understood. The basic patterns and timing for…

Neurons and Cognition · Quantitative Biology 2020-07-14 T. P. Jensen , S. Tata , A. J. Ijspeert , S. Tolu

The nervous system represents time-dependent signals in sequences of discrete action potentials or spikes, all spikes are identical so that information is carried only in the spike arrival times. We show how to quantify this information, in…

Condensed Matter · Physics 2008-02-03 S. P. Strong , Roland Koberle , Rob R. de Ruyter van Steveninck , William Bialek

Interactions in nature can be described by their coupling strength, direction of coupling and coupling function. The coupling strength and directionality are relatively well understood and studied, at least for two interacting systems,…

Adaptation and Self-Organizing Systems · Physics 2017-02-09 Tomislav Stankovski

Biological intelligence is inherently adaptive -- animals continually adjust their actions based on environmental feedback. However, creating adaptive artificial intelligence (AI) remains a major challenge. The next frontier is to go beyond…

Neurons and Cognition · Quantitative Biology 2026-01-06 Mackenzie Weygandt Mathis

Learning analytics has begun to use physiological signals because these have been linked with learners' cognitive and affective states. These signals, when interpreted through machine learning techniques, offer a nuanced understanding of…

Human-Computer Interaction · Computer Science 2024-06-21 Minghao Cai , Carrie Demmans Epp

Sensory stimuli are usually composed of different features (the what) appearing at irregular times (the when). Neural responses often use spike patterns to represent sensory information. The what is hypothesized to be encoded in the…

Neurons and Cognition · Quantitative Biology 2010-12-13 Hugo Gabriel Eyherabide , Inés Samengo

Brains can process sensory information from different modalities at astonishing speed; this is surprising as the integration of inputs through the membrane of each individual neuron already causes a delayed response. Neuronal recordings…

Neurons and Cognition · Quantitative Biology 2024-08-20 Simon Brandt , Mihai Alexandru Petrovici , Walter Senn , Katharina Anna Wilmes , Federico Benitez

Based upon physiological observation on time dependent orientation selectivity in the cells of macaque's primary visual cortex together with the psychophysical studies on the tuning of orientation detectors in human vision we suggest that…

Computer Vision and Pattern Recognition · Computer Science 2009-09-21 Subhajit Karmakar , Sandip Sarkar
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