This study presents an important new approach to quantifying parsimony preferences in human inference. The work provides convincing evidence that humans are sensitive to specific formalizations of ...

This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...

Hi there! Happy to see you again in this series of articles, where we discuss about Time Series, theory and examples. In the previous articles we discussed about ARIMA-family models for forecasting ...

Network control theory (NCT) is a simple and powerful tool for studying how network topology informs and constrains the dynamics of a system. Compared to other structure–function coupling approaches, ...

In the fast-paced retail industry, understanding customer behavior is key. To achieve this, we’ve used customer segmentation via clustering, a machine learning technique that groups similar customers ...

The development of modern high-throughput instrumentation and improved core facility infrastructures leads to an accumulation of large amounts of scientific data. However, for a majority of scientists ...

The diffusion model is a commonly used tool to infer latent psychological processes underlying decision-making, and to link them to neural mechanisms based on response times. Although efficient open ...