A probabilistic structure of the motor behavior was analyzed in dolphin calves Tursiops truncatus in the prenatal period and adult dolphins in an oceanarium. Ethograms were recorded and subjected to a computer analysis. Ranking probabilities of transitions between behavioral acts revealed a highly determined sequence of operations underlying the newborn dolphins' behavior. The principle of formation of the variation ethologic structures providing a contact between a developing organism and the environment was determined. The results are discussed in terms of the concept of the informational brain-environment interaction.
Download full-text PDF |
Source |
---|
Biomimetics (Basel)
January 2025
RoboticsLab, Universidad Carlos III de Madrid, 28911 Madrid, Spain.
Motion primitives are a highly useful and widely employed tool in the field of Learning from Demonstration (LfD). However, obtaining a large number of motion primitives can be a tedious process, as they typically need to be generated individually for each task to be learned. To address this challenge, this work presents an algorithm for acquiring robotic skills through automatic and unsupervised segmentation.
View Article and Find Full Text PDFFront Neural Circuits
January 2025
Department of Advanced Medical and Surgical Sciences, Advanced MRI Research Center, University of Campania "Luigi Vanvitelli", Naples, Italy.
The substantia nigra pars compacta (SNc), one of the main dopaminergic nuclei of the brain, exerts a regulatory function on the basal ganglia circuitry via the nigro-striatal pathway but its possible dopaminergic innervation of the thalamus has been only investigated in non-human primates. The impossibility of tract-tracing studies in humans has boosted advanced MRI techniques and multi-shell high-angular resolution diffusion MRI (MS-HARDI) has promised to shed more light on the structural connectivity of subcortical structures. Here, we estimated the possible dopaminergic innervation of the human thalamus via an MS-HARDI tractography of the SNc in healthy human young adults.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Max Planck Institute for Intelligent Systems, Tübingen 72076, Germany.
Networked datasets can be enriched by different types of information about individual nodes or edges. However, most existing methods for analyzing such datasets struggle to handle the complexity of heterogeneous data, often requiring substantial model-specific analysis. In this article, we develop a probabilistic generative model to perform inference in multilayer networks with arbitrary types of information.
View Article and Find Full Text PDFAnn Ig
January 2025
Department of Experimental Medicine, University of Salento, Lecce, Complesso Ecotekne, Lecce, Italy.
Background: Correct information is an essential tool to guide thoughts, attitudes, daily choices or more important decisions such as those regarding health. Today, a huge amount of information sources and media is available. Increasing possibilities of obtaining data also require understanding and positioning skills, particularly the ability to navigate the ocean of information and to choose what is best without becoming overwhelmed.
View Article and Find Full Text PDFFront Psychol
January 2025
Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, Portugal.
Background: The concept of psychological vulnerability is associated with the individual's maladaptive cognitive beliefs, such as self-criticism, perfectionism, and the need for external validation and approval, reducing the individual's ability to cope with negative life experiences. This study aimed to explore psychometric proprieties of the Psychological Vulnerability Scale in secondary school students.
Methods: A psychometric study was conducted with a non-probabilistic sample of 1,875 secondary school students (55.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!