02/18/2025
Research Article
Understanding the intricate relationship between neural network morphology, spiking dynamics, and function is a fundamental challenge in neuroscience. This study delves into this relationship in the renowned Pavlovian conditioning model proposed by Izhikevich to address the “distal reward problem.”
Image credit: Lee & Jeong
02/18/2025
Research Article
Reservoir computing is a class of biologically-inspired machine learning models that can accurately predict these time series. A particularly challenging scenario occurs when trying to extract and predict individual signals in a mixture, where each has its own underlying deterministic and stochastic properties.
Image credit: Manuel (Unsplash)
02/18/2025
Research Article
This paper addresses the debate on whether synchronization in production systems is either positive or negative by analyzing synchronization in a network of machines using a minimal model of machine activity.
Image credit: Lalit Kumar
02/18/2025
Research Article
The authors offer evidence in support of the view that public health categories need rethinking; that more precise and granular ones are needed; and that “non-communicable” and “non-infectious” can be tautological misnomers. The scientific literature suggests an underlying socially “infectious” phenomenon.
Image credit: CDC
02/03/2025
Research Article
The authors trained different language models, from simple statistical models to advanced neural networks, on a database of 41 multilingual text collections comprising a wide variety of text types. The trained models were then used to estimate entropy rates, a complexity measure derived from information theory.
Image credit: Annie Spratt
02/03/2025
Research Article
This study used a large data set of 65 million job adverts between 2016 and 2022 across the whole of the UK to examine the patterns of skills required together by employers. The authors found clusters of skills that appear together in adverts often, but these clusters do not always agree with how experts group skills based on competencies or qualifications.
Image credit: Liu et al
01/03/2025
Research Article
Previous work in Boolean dynamical networks has suggested that the number of components that must be controlled to select an existing attractor is typically set by the number of attractors admitted by the dynamics, with no dependence on the size of the network. This study investigates the rare cases of networks that defy this expectation, with attractors that require controlling most nodes.
Image credit: Daniels & Borriello
01/03/2025
Research Article
Over the past two decades, urban scaling has become essential for understanding the rural-urban continuum by quantifying how urban characteristics depend on a city’s population size.
Image credit: John O'Nolan
01/03/2025
Research Article
Degree heterogeneity and latent geometry, also referred to as popularity and similarity, are key explanatory components underlying the structure of real-world networks.
Image credit: K.M. Smith & J.P. Smith
01/03/2025
Research Article
The authors developed a new approach to generate sequences of related images by extending a type of deep learning model called CycleGAN.
Image credit: Tanaka & Yamaguti
12/03/2024
Research Article
This study investigates the inter-level relations that propagate constraint and order upward and downward.
Image credit: Eric Smith
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