This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

To address this issue, this letter proposes a Differentiable Architecture Search-Guided Physics-Informed Neural Network (DARTS-PINN) method. Experimental results demonstrate that DARTS-PINN can ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

The simulation results show the proposed modeling method in this paper is suitable and effective, and the RBF neural network based dynamic model can describe the dynamic characteristics of micro-grid ...

Results: In this work, we introduce GeNNius (Graph Embedding Neural Network Interaction Uncovering System), a Graph Neural Network-based method that outperforms state-of-the-art models in terms of ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...

Many existing methods for exploring the link between neural activity ... recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that addresses some ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...