The unifying theme for the papers in this volume is that event-predictive representations play an important role in cognitive processes, and they are a particularly fruitful object of study for cognitive scientists. In this paper, we present our own model of event representations that draws together several disparate strands of research into event representations, relating to event perception, event encodings in working memory and their role in prediction, and events as they are reported in language. Our main claim is that the notion of deictic routines originally developed by Ballard et al. (1997) is of great use in explaining how these different types of event representation interface with one another.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/tops.12497 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Quantum Collapse and Computation in an Everett Multiverse.
Entropy (Basel)
December 2024
Institute for Scientific Methodology (ISEM), 90156 Palermo, Italy.
The mathematical representation of the universe consists of sequences of symbols, rules and operators containing Gödel's undecidable propositions: information and its manipulation, also with Turing Machines. Classical information theory and mathematics, ideally independent from the medium used, can be interpreted realistically and objectively from their correspondence with quantum information, which is physical. Each representation of the universe and its evolution are, in any case, physical subsets of the universe, structured sets of observers and their complements in the universe made with spacetime events generated by local quantum measurements.
View Article and Find Full Text PDFPhylogenetics of Lepidonotopodini (Macellicephalinae, Polynoidae, Annelida) and Comparative Mitogenomics of Shallow-Water vs. Deep-Sea Scaleworms (Aphroditiformia).
Biology (Basel)
November 2024
Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093-0202, USA.
Within Polynoidae, a diverse aphroditiform family, the subfamily Macellicephalinae comprises anchialine cave-dwelling and deep-sea scaleworms. In this study, Lepidonotopodinae is synonymized with Macellicephalinae, and the tribe Lepidonotopodini is applied to a well-supported clade inhabiting deep-sea chemosynthetic-based ecosystems. Newly sequenced "genome skimming" data for 30 deep-sea polynoids and the comparatively shallow living is used to bioinformatically assemble their mitogenomes.
View Article and Find Full Text PDFMetoprolol vs diltiazem for atrial fibrillation with rapid ventricular rate: Systematic review and meta-analysis of adverse events.
Am J Emerg Med
December 2024
Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Departments of Pharmacy and Emergency Medicine, University of Rochester Medical Center, Rochester, New York, USA. Electronic address:
Background: Intravenous (IV) diltiazem and metoprolol are commonly used to achieve rate control for atrial fibrillation with RVR (Afib with RVR), and are both recommended as first-line by current guidelines. While prior studies investigated the efficacy of these medications, there is little evidence available regarding the risk of adverse events (AEs) with their use.
Methods: We identified randomized controlled trials (RCT) and observational studies reporting rates of AEs following administration of IV diltiazem and metoprolol for Afib with RVR by searching PubMed, SCOPUS, EMBASE, and Cochrane Library.
Adaptive behavior depends on the ability to predict specific events, particularly those related to rewards. Armed with such associative information, we can infer the current value of predicted rewards based on changing circumstances and desires. To support this ability, neural systems must represent both the value and identity of predicted rewards, and these representations must be updated when they change.
View Article and Find Full Text PDFUsing transformer-based models and social media posts for heat stroke detection.
Sci Rep
January 2025
Chubu Institute for Advanced Studies, Chubu University, Kasugai, Aichi, Japan.
Event-based surveillance is crucial for the early detection and rapid response to potential public health risks. In recent years, social networking services (SNS) have been recognized for their potential role in this domain. Previous studies have demonstrated the capacity of SNS posts for the early detection of health crises and affected individuals, including those related to infectious diseases.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!