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Perceptual decoupling in the sustained attention to response task is likely: comment on Bedi, Russell, & Helton (2024).
Exp Brain Res
March 2025
Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USA.
Recent work by Bedi et al. (Experimental Brain Research 242(8):2033-2040, 2024) posits that perceptual decoupling in the sustained attention to response task (SART) is unlikely. In this commentary, we challenge their broad titular claim by revisiting two important studies: Smallwood et al.
View Article and Find Full Text PDFGeometry as a Guide: Enclosure Effects on Spatial Mapping (Commentary on Xu et al. 2024).
Eur J Neurosci
March 2025
Fac. Cs. Exactas-INTIA, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNCPBA), Tandil, Buenos Aires, Argentina.
A recent paper by Xu et al. proposes that cognitive maps in mice emerge during spatial navigation from path integration anchored to a starting position. We challenge this understanding by arguing that enclosure geometry rather than path integration shapes cognitive maps.
View Article and Find Full Text PDFLinguistic alignment with an artificial agent: A commentary and re-analysis.
Cognition
February 2025
Dipartimento di Psicologia dello Sviluppo e della Socializzazione (DPSS), University of Padua, Padua, Italy. Electronic address:
In this manuscript we provide a commentary and a complementary analysis of Cirillo et al.'s (2022) study on conceptual alignment in a joint picture naming task involving a social robot (Cognition, 227, 105,213). In their study, Cirillo and collaborators present evidence suggesting automatic alignment by examining response proportions, reflecting adaptation to the lexical choices made by the artificial agent (i.
View Article and Find Full Text PDFCommentary on: The Effect of Task Cognitive Difficulty on Perceptual-Cognitive Indicators: Evidence on the Relationship Between Challenge Point Framework (CPF) and Cognitive Development in Table Tennis Beginners [Letter].
J Multidiscip Healthc
February 2025
Maharishi Markandeshwar Institute of Physiotherapy and Rehabilitation, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India.
Designing an intelligent push model for user emotional topics based on dynamic text categorization in social media news dissemination.
PeerJ Comput Sci
December 2024
School of Government and Public Affairs, Communication University of China, Beijing, China.
The exploration of social media comment analysis has garnered considerable scholarly attention in recent epochs, precipitated by the pervasive ubiquity of social media platforms and the copious volume of commentaries engendered by their users. As the prevalence of users disseminating opinions, engaging in news discourse, and articulating sentiments on social media escalates, scrutinizing social media comments assumes paramount significance. This treatise employs a sophisticated deep network model for sentiment classification predicated on online social media textual commentary data, utilizing a bidirectional long short-term memory (BI-LSTM) network.
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