24 papers · ranked by Valyu relevance
Tatsuya Daikoku, Yuji Takahashi, Nagayoshi Tarumoto, Hideki Yasuda
How the human brain perceives time intervals is a fascinating topic that has been explored in many fields of study. This study examined how time intervals are replicated in three conditions: with no internalized cue (PT), with an internalized cue without a beat (AS), and with an internalized cue with a beat (RS). In…
Elzbieta Szelag, Magdalena Stanczyk, Aneta Szymaszek
Previous studies indicate that there are at least two levels of temporal processing: the sub- and supra-second domains. The relationship between these domains remains unclear. The aim of this study was to test whether performance on the sub-second level is related to that on the supra-second one, or whether these two…
Naho Konoike, Katsuki Nakamura
Our daily lives are filled with rhythmic movements, such as walking, sports, and dancing, but the mechanisms by which the brain controls rhythmic movements are poorly understood. In this review, we examine the literature on neuropsychological studies of patients with focal brain lesions, and functional brain imaging…
Anthony Stigliani, Brianna Jeska, Kalanit Grill-Spector
How is temporal information processed in human visual cortex? There is intense debate as to how sustained and transient temporal channels contribute to visual processing beyond V1. Using fMRI, we measured cortical responses to time-varying stimuli, then implemented a novel 2 temporal-channel encoding model to estimate…
Kacie Lee, Reuben Rideaux
Past sensory experiences influence perception of the present. Multiple research subfields have emerged to study this phenomenon at different temporal scales. These phenomena fall into three categories: the influence of immediately preceding sensory events (micro), expectations established by short sequences of events…
Michael H. Herzog, Thomas Kammer, Frank Scharnowski
We experience the world as a seamless stream of percepts. However, intriguing illusions and recent experiments suggest that the world is not continuously translated into conscious perception. Instead, perception seems to operate in a discrete manner, just like movies appear continuous although they consist of discrete…
Laurent Caplette, Frédéric Gosselin
Whenever we look at an object, we seem to perceive it immediately. However, this is not the case for two reasons. First, it takes hundreds of milliseconds for the brain to process visual information reaching the retina. Second, we have to look at an object for a certain amount of time to perceive it (and we typically…
Giorgia Cona, Martin Wiener, Cristina Scarpazza
According to the ATOM (A Theory Of Magnitude), formulated by Walsh more than fifteen years ago, there is a general system of magnitude in the brain that comprises regions, such as the parietal cortex, shared by space, time and other magnitudes (89). The present meta-analysis of neuroimaging studies used the Activation…
Hamit Başgöl, İnci Ayhan, Emre Uğur
—Animals exploit time to survive in the world. Temporal information is required for higher-level cognitive abilities such as planning, decision making, communication, and effective cooperation. Since time is an inseparable part of cognition, there is a growing interest in the artificial intelligence approach to…
Bin Zhou, Ting Zhang, Lihua Mao
Accumulated evidence has shown that the subjective time in the sub-second range can be altered by different factors; some are related to stimulus features such as luminance contrast and spatial frequency, others are processes like perceptual grouping and contextual modulation. These findings indicate that temporal…
Tony Lindeberg
This article presents an overview of a theory for performing temporal smoothing of temporal signals in such a way that: (i) temporally smoothed signals at coarser temporal scales are guaranteed to constitute simplifications of corresponding temporally smoothed signals at any finer temporal scale (including the original…
André M. Cravo, Gustavo Rohenkohl, Karin Moreira Santos, Anna C. Nobre
'Anna C. Nobre'] The fundamental role that our long-term memories play in guiding perception is increasingly recognized, but the functional and neural mechanisms are just beginning to be explored. Although experimental approaches are being developed to investigate the influence of long-term memories on perception…
Barbara Magnani, Alessandro Musetti
We reviewed literature to understand when a spatial map for time is available in the brain. We carefully defined the concepts of metrical map of time and of conceptual representation of time as the mental time line (MTL) in order to formulate our position. It is that both metrical map and conceptual representation of…
Wouter Kruijne, Christian N. L. Olivers, Hedderik van Rijn
Different models have been proposed to explain how the human brain derives an accurate sense of time. One specific class of models, intrinsic models, state that temporal information of a stimulus is represented much like other features such as color and location, bound together to form a coherent percept. Here we…
André M. Cravo, Gustavo Rohenkohl, Karin Moreira Santos, Anna C. Nobre
The fundamental role that our long-term memories play in guiding perception is increasingly recognised, but the functional and neural mechanisms are just beginning to be explored. Though experimental approaches are being developed to investigate the influence of long-term memories on perception, these remain mostly…
Michael R. Ferrier
The human brain carries out a broad array of functions, and there is ample evidence that it is the cerebral cortex, taking up three quarters of the brain's volume, that plays a central role in perception, cognition, and behavior. However, notwithstanding the variety and complexity of the tasks performed by the cerebral…
Rannie Xu, Russell M. Church, Yuka Sasaki, Takeo Watanabe
The ability to discriminate sub-second intervals can be improved with practice, a process known as temporal perceptual learning (TPL). A central question in TPL is whether training improves the low-level sensory representation of a temporal interval or optimizes a set of task-specific response strategies. Here, we…
Zafeirios Fountas, Alexey Zakharov
Enquiries concerning the underlying mechanisms and the emergent properties of a biological brain have a long history of theoretical postulates and experimental findings. Today, the scientific community tends to converge to a single interpretation of the brain's cognitive underpinnings – that it is a Bayesian inference…
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Accurate prediction of chemical reaction yields remains essential for accelerating synthesis optimization, yet current machine learning models face critical limitations in capturing temporal dynamics, providing calibrated uncertainty estimates, and explicitly modeling reactant-to-product transformations. Here we…
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Kinetic modeling is essential for predicting changes in food quality during processing and storage. This study evaluates the application of physics-informed neural networks (PINN) for food kinetic modeling, integrating kinetic insights into neural network frameworks. Based on three case studies, namely seed drying…
Matthew Bailey, Mark Wilson
One of the critical tools of persistent homology is the persistence diagram. We demonstrate the applicability of a persistence diagram showing the existence of topological features (here rings in a 2D network) generated over time instead of space as a tool to analyse trajectories of biological networks. We show how the…
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A framework for catalysis based on categorical aperture selection rather than temporal acceleration is presented. Traditional catalysis theory describes catalysts as agents that accelerate reactions by lowering activation energies, implicitly treating time as the fundamental variable and reaction rate enhancement as…
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel + 4 more
Predicting and monitoring battery life early and across chemistries is a significant challenge due to the plethora of degradation paths, form factors, and electrochemical testing protocols. Existing models typically translate poorly across different electrode, electrolyte, and additive materials, mostly require a fixed…
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This work focuses on a novel human-centered digital assistant combining Mixed Reality (MR), Computer Vision and Machine Learning regression to guide professionals and students on how to operate and correctly parameterize battery manufacturing machinery. Our Concept article aim is to provide a proof of concept of our…