Grooming in mandrills and the time frame of reciprocal partner choice.

Am J Primatol

Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche, Rome, Italy.

Published: October 2009

In this study, we examined the time frame of reciprocal partner choice in the grooming interactions of captive mandrills (Mandrillus sphinx) in order to test the hypothesis that the cognitive limitations of primates constrain the occurrence of reciprocation to short time intervals. In contrast to this hypothesis, mandrills groomed preferentially those individuals that groomed them more even when cases of immediate reciprocation were excluded from the analysis. These results show that mandrills were not limited to reciprocating grooming over short time intervals. It is proposed that a system of emotional bookkeeping may support the ability of primates to reciprocate over long time frames.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ajp.20719DOI Listing

Publication Analysis

Top Keywords

time frame
8
frame reciprocal
8
reciprocal partner
8
partner choice
8
short time
8
time intervals
8
time
5
grooming mandrills
4
mandrills time
4
choice study
4

Similar Publications

Reducing reading time and assessing disease in capsule endoscopy videos: A deep learning approach.

Int J Med Inform

January 2025

University of Coimbra, Faculty of Medicine, Coimbra, Portugal; Department of Gastroenterology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal. Electronic address:

Background: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of the few drawbacks identified by the gastroenterology community is the time-consuming task of analyzing CE videos.

Objectives: This article investigates the feasibility of a computer-aided diagnostic method to speed up CE video analysis.

View Article and Find Full Text PDF

Quantitative analysis of particle behavior constituting multiple coherent structures in liquid bridges.

J Colloid Interface Sci

January 2025

Department of Mechanical and Aerospace Engineering, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, 278-8510, Chiba, Japan. Electronic address:

Hypothesis: Coherent structures by low-Stokes-number particles are induced within a closed flow, in which ordered flow regions known as Kolmogorov-Arnold-Moser (KAM) tori emerge. A variety of structures with different spatial characteristics has been predicted by varying the Stokes number, whereas the coexistence of structures in flow suspending various types of particles has not been hitherto demonstrated.

Experiments: Half-zone liquid bridges of O () are prepared as a closed system to induce thermocapillary-driven time-dependent flow under normal gravity conditions.

View Article and Find Full Text PDF

The Segment Anything model (SAM) is a powerful vision foundation model that is revolutionizing the traditional paradigm of segmentation. Despite this, a reliance on prompting each frame and large computational cost limit its usage in robotically assisted surgery. Applications, such as augmented reality guidance, require little user intervention along with efficient inference to be usable clinically.

View Article and Find Full Text PDF

Conventional scanned optical coherence tomography (OCT) suffers from the frame rate/resolution tradeoff, whereby increasing image resolution leads to decreases in the maximum achievable frame rate. To overcome this limitation, we propose two variants of machine learning (ML)-based adaptive scanning approaches: one using a ConvLSTM-based sequential prediction model and another leveraging a temporal attention unit (TAU)-based parallel prediction model for scene dynamics prediction. These models are integrated with a kinodynamic path planner based on the clustered traveling salesperson problem to create two versions of ML-based adaptive scanning pipelines.

View Article and Find Full Text PDF

This Letter reports what we believe to be a novel schlieren approach with adaptive temporal resolution. The fundamental concept of this approach is to fuse an event-based camera and a low-speed frame-based camera to generate high-frame-rate videos by leveraging the strengths of both. Using a novel experimental setup, events and frames are accurately aligned in both space and time.

View Article and Find Full Text PDF

Want 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!