Contextual cues of genetic relatedness to familiar individuals, such as cosocialization and maternal-perinatal association, modulate prosocial and inbreeding-avoidance behaviors toward specific potential siblings. These findings have been interpreted as evidence that contextual cues of kinship indirectly influence social behavior by affecting the perceived probability of genetic relatedness to familiar individuals. Here, we test a more general alternative model in which contextual cues of kinship can influence the kin-recognition system more directly, changing how the mechanisms that regulate social behavior respond to cues of kinship, even in unfamiliar individuals for whom contextual cues of kinship are absent. We show that having opposite-sex siblings influences inbreeding-relevant perceptions of facial resemblance but not prosocial perceptions. Women with brothers were less attracted to self-resembling, unfamiliar male faces than were women without brothers, and both groups found self-resemblance to be equally trustworthy for the same faces. Further analyses suggest that this effect is driven by younger, rather than older, brothers, consistent with the proposal that only younger siblings exhibit the strong kinship cue of maternal-perinatal association. Our findings provide evidence that experience with opposite-sex siblings can directly influence inbreeding-avoidance mechanisms and demonstrate a striking functional dissociation between the mechanisms that regulate inbreeding and the mechanisms that regulate prosocial behavior toward kin.
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http://dx.doi.org/10.1073/pnas.1105919108 | DOI Listing |
ECAI 2024 (2024)
January 2024
Department of Computer Science, University of Kentucky.
Long-term time-series forecasting remains challenging due to the difficulty in capturing long-term dependencies, achieving linear scalability, and maintaining computational efficiency. We introduce TimeMachine, an innovative model that leverages Mamba, a state-space model, to capture long-term dependencies in multivariate time series data while maintaining linear scalability and small memory footprints. TimeMachine exploits the unique properties of time series data to produce salient contextual cues at multi-scales and leverage an innovative integrated quadruple-Mamba architecture to unify the handling of channel-mixing and channel-independence situations, thus enabling effective selection of contents for prediction against global and local contexts at different scales.
View Article and Find Full Text PDFCurr Biol
January 2025
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA; Medical Discovery Team on Addiction, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address:
Adaptive behavior in a dynamic environmental context often requires rapid revaluation of stimuli that deviates from well-learned associations. The divergence between stable value-encoding and appropriate behavioral output remains a critical component of theories of dopamine's function in learning, motivation, and motor control. Yet, how dopamine neurons are involved in the revaluation of cues when the world changes, to alter our behavior, remains unclear.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
January 2025
School of Rehabilitation Therapy, Queen's University, Kingston, Ontario, Canada.
This article explores the existing research evidence on the potential effectiveness of lipreading as a communication strategy to enhance speech recognition in individuals with hearing impairment. A scoping review was conducted, involving a search of six electronic databases (MEDLINE, Embase, Web of Science, Engineering Village, CINAHL, and PsycINFO) for research papers published between January 2013 and June 2023. This study included original research papers with full texts available in English, covering all study designs: qualitative, quantitative, and mixed methods.
View Article and Find Full Text PDFNutr Rev
January 2025
College of Education, Psychology and Social Work, Flinders University, Bedford Park, SA 5001, Australia.
The purpose of the present narrative review was to propose a unifying generalized conceptual model of mechanisms and processes in appetite self-regulation (ASR) in childhood. Appetite self-regulation, along with other domains of self-regulation, develops across childhood and contributes to energy intake and balance, diet quality, weight, and therefore long-term health outcomes. There have been efforts to conceptualize and measure components of ASR and associated processes/mechanisms, but, at present, there is no unifying conceptualization of ASR in childhood.
View Article and Find Full Text PDFAlzheimer's disease (AD) is a form of dementia in which memory and cognitive decline is thought to arise from underlying neurodegeneration. These cognitive impairments, however, are transient when they first appear and can fluctuate across disease progression. Here, we investigate the neural mechanisms underlying fluctuations of performance in amnestic mice.
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