Download full-text PDF

Source

Publication Analysis

Top Keywords

stochastic model
4
model epidemics
4
epidemics military
4
military recruits
4
stochastic
1
epidemics
1
military
1
recruits
1

Similar Publications

Toward a Free-Response Paradigm of Decision-Making in Spiking Neural Networks.

Neural Comput

January 2025

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200437, China

Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificial neural networks, which produce results in a single step, SNNs require multiple steps during inference to achieve a desired accuracy level, resulting in a burden in real-time response and energy efficiency. Inspired by the tradeoff between speed and accuracy in human and animal decision-making processes, which exhibit correlations among reaction times, task complexity, and decision confidence, an inquiry emerges regarding how an SNN model can benefit by implementing these attributes.

View Article and Find Full Text PDF

Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm.

Neural Comput

January 2025

Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, BT48 7JL Derry-Londonderry, Northern Ireland, U.K.

Decision formation in perceptual decision making involves sensory evidence accumulation instantiated by the temporal integration of an internal decision variable toward some decision criterion or threshold, as described by sequential sampling theoretical models. The decision variable can be represented in the form of experimentally observable neural activities. Hence, elucidating the appropriate theoretical model becomes crucial to understanding the mechanisms underlying perceptual decision formation.

View Article and Find Full Text PDF

Replicator dynamics on heterogeneous networks.

J Math Biol

January 2025

Laboratory of Mathematics and Complex Systems, Ministry of Education, School of Mathematical Sciences, Beijing Normal University, Beijing, People's Republic of China.

Networked evolutionary game theory is a well-established framework for modeling the evolution of social behavior in structured populations. Most of the existing studies in this field have focused on 2-strategy games on heterogeneous networks or n-strategy games on regular networks. In this paper, we consider n-strategy games on arbitrary networks under the pairwise comparison updating rule.

View Article and Find Full Text PDF

Importance: Intraventricular hemorrhage (IVH) has been described to typically occur during the early hours of life (HOL); however, the exact time of onset is still unknown.

Objective: To investigate the temporal distribution of IVH reported in very preterm neonates.

Data Sources: PubMed, Embase, Cochrane Library, and Web of Science were searched on May 9, 2024.

View Article and Find Full Text PDF

Background: Alzheimer's Disease (AD) is associated with sleep disturbances. Moreover, individuals with sleep disturbances have been reported to have a higher risk for developing AD. The measurement of sleep behavior therefore opens the opportunity for a potential digital biomarker of AD.

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!