25 papers · ranked by Valyu relevance
Lynn J. Lohnas, M. Karl Healey, Lila Davachi
Although life unfolds continuously, experiences are generally perceived and remembered as discrete events. Accumulating evidence suggests that event boundaries disrupt temporal representations and weaken memory associations. However, less is known about the consequences of event boundaries on temporal representations…
Brendan I. Cohn-Sheehy, Charan Ranganath
Life’s episodes unfold against a context that changes with time. Recent neuroimaging studies have revealed significant findings about how specific areas of the human brain may support the representation of temporal information in memory. A consistent theme in these studies is that the hippocampus appears to play a…
Halle R. Dimsdale-Zucker, Maria E. Montchal, Zachariah M. Reagh, Shao-Fang Wang + 2 more
The hippocampus plays a critical role in supporting episodic memory. Although we know that temporal context is a defining feature of episodic memory, we understand relatively little about how this information may be represented by the hippocampus. Research in rodents has suggested that the hippocampus represents…
Tarek Mahmoud, Veronika Solopova, Premtim Sahitaj, Ariana Sahitaj + 6 more
Temporal language does more than place events on a timeline. In news discourse, references to the past, present, and future can function as rhetorical devices that shape interpretation and persuasion. Here, we study temporal framing, defined as the persuasive use of time-related language to structure meaning rather…
Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng + 1 more
Automatic extraction of temporal information is important for natural language understanding. It involves two basic tasks: (1) Understanding time expressions that are mentioned explicitly in text (e.g., February 27, 1998 or tomorrow), and (2) Understanding temporal information that is conveyed implicitly via relations.…
Samuel Genheden, Agnes Mårdh, Gustav Lahti, Ola Engkvist + 2 more
We present machine learning models for predicting the chemical context for Buchwald-Hartwig coupling reactions. Using reaction data from in-house electronic lab notebooks, we train two models: one based on single-label data and one based on multi-label data. Both models show excellent top-3 accuracy around 90%, which…
Authors not listed
Large language model (LLM)–based agents are increasingly applied to time-series forecasting tasks, yet existing evaluations primarily emphasize numerical accuracy, making it unclear whether strong forecasting performance reflects genuine temporal understanding or the ability to reason under contextual and event-driven…
Yuchen Zhang, Nianwen Xue
Temporal relations between events and time expressions in a document are often modeled in an unstructured manner where relations between individual pairs of time expressions and events are considered in isolation. This often results in inconsistent and incomplete annotation and computational modeling. We propose a…
Ashutosh Bajpai, Tanmoy Chakraborty
The increasing acceptance of large language models (LLMs) as an alternative to knowledge sources marks a significant paradigm shift across various domains, including timesensitive fields such as law, healthcare, and finance. To fulfill this expanded role, LLMs must not only be factually accurate but also demonstrate…
Midhula Chandran, Anna Thorwart
Ability to recall the timing of events is a crucial aspect of associative learning. Yet, traditional theories of associative learning have often overlooked the role of time in learning association and shaping the behavioral outcome. They address temporal learning as an independent and parallel process. Temporal Coding…
Tanya Wen, Tobias Egner
Meaningful changes in context create “event boundaries”, segmenting continuous experience into distinct episodes in memory. A foundational finding in this literature is that event boundaries impair memory for the temporal order of stimuli spanning a boundary compared to equally spaced stimuli within an event. This…
Luke Breitfeller, Aakanksha Naik, Carolyn Penstein Rosé
Despite achieving state-of-the-art accuracy on temporal ordering of events, neural models showcase significant gaps in performance. Our work seeks to fill one of these gaps by leveraging an under-explored dimension of textual semantics: rich semantic information provided by explicit textual time cues. We develop STAGE…
Anab Maulana Barik, Wynne Hsu, Mong Li Lee
Automated fact verification plays an essential role in fostering trust in the digital space. Despite the growing interest, the verification of temporal facts has not received much attention in the community. Temporal fact verification brings new challenges where cues of the temporal information need to be extracted and…
Elena Marx, Natalia Jardón, Eva Wittenberg
In language, comprehenders often need to infer the temporal order of events to construct a mental model of a complex situation. Dynamicity differences are a key predictor of these inferences: Non-dynamic states are reliably inferred to precede dynamic events. In two studies, we test two theoretical explanations for…
Nathan M. Muncy, C. Brock Kirwan
Time has an integral role in episodic memory and previous work has implicated the medial temporal lobe in both representing time and discriminating between similar information. Here we developed a novel paradigm to test mnemonic discrimination for temporal duration, as previous work has largely focused on order or…
Sanne Gøren Brederoo, Laura Simone Bos, Olga Dragoy, Roelien Bastiaanse + 2 more
'Roelien Bastiaanse' 'Giosuè Baggio' 'Blake Johnson'] Verbs and other temporal expressions allow speakers to specify the location of events in time, as well as to move back and forth in time, shifting in a narrative between past, present and future. The referential flexibility of temporal expressions is well understood…
Javier Valenzuela, Daniel Alcaraz Carrión
This study investigates how typological and metaphorical construal differences may affect the use and frequency of temporal expressions in English and Spanish. More precisely, we explore whether there are any differences between English, a satellite-framed language, and Spanish, a verb-framed language, in the use of…
Tiziana Jäggi, Sayaka Sato, Christelle Gillioz, Pascal Mark Gygax
Considering how fundamental and ubiquitous temporal information is in discourse (e.g., [77]), it seems rather surprising that the impact of the grammaticalization of the future on the way we perceive the future has only been scarcely studied. We argue that this may be due to its rather abstract nature and how it has…
Jeffery R. L. Pendleton, Nicola S. Clayton
This review examines temporal cognition through the lens of Mental Time Travel (MTT): the subjective experience of recalling past events and using them to construct future scenarios. The analysis specifically addresses how language and cultural context affect these abilities, integrating psychology, linguistics…
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…
Tony Lindeberg
This article presents an overview of a theory for performing temporal smoothing on 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…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Nicolai Machholdt Høyer, Ove Christiansen
We present a new quasi-direct quantum molecular dynamics computational method which offer a compromise between quantum dynamics using a pre-computed potential energy surface (PES) and fully direct quantum dynamics. This method is termed the time-dependent adaptive density-guided approach (TD-ADGA) and is a method for…
Authors not listed
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…
Authors not listed
Real-world datasets in chemical engineering and bioengineering processes--such as those from catalytic reactors, multiphase flows, polymerization reactors, bioreactors, and clinical trials--can often be unlabelled or disorganized, rendering the training of existing supervised learning models ineffective at learning the…