Glia may play a larger role in shaping neural circuit function than previously thought

Neurons have dominated neuroscience research for decades, but a growing body of evidence suggests that a group of ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Chemical networks can mimic nervous systems to power movement in soft materials

What if a soft material could move on its own, guided not by electronics or motors, but by the kind of rudimentary chemical ...

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of single-qubit quantum neural network technology for ...
University News & Events

Effort aims to uncover the learning and reasoning potential of brain organoids

The Braingeneers team will to test the ability of brain organoids to solve tasks in real time Artificial intelligence (AI) ...
Frontiers

Multimodal Sensory Integration and Behavioral Responses in Invertebrate Neural Circuits

Invertebrates, ranging from arthropods to mollusks, exhibit an astonishing diversity of sensory modalities and behaviors. These organisms navigate complex ...
Scientific Research Publishing

Acute Metabolic and Neurocognitive Adaptations to Short-Term Fasting ()

Bricker, D. , Alberto, J. , Pecar, Z. , Pecar, D. and Asad, S. (2025) Acute Metabolic and Neurocognitive Adaptations to Short-Term Fasting. Food and Nutrition Sciences, 16, 1489-1501. doi: 10.4236/fns ...
IEEE

Improving the Accuracy of Eccentric Magnetic Absolute Encoders Using Radial Basis Function Neural Network and Third-Order PLL

Abstract: In this study, in order to improve the accuracy of eccentric magnetic absolute encoders (EMAE), an angle calculation method that combines radial basis function neural networks (RBFNN) and ...
IEEE

Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection

Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...
BMJ

Trends in neural tube defects in Scotland in 2000–2021 prior to the introduction of mandatory folic acid fortification of non-wholemeal wheat flour: a population-based study

Participants Babies with an NTD and pregnancy outcome of live birth, stillbirth (≥20 weeks’ gestation) or termination of pregnancy (any gestation), as recorded in the Scottish Linked Congenital ...