This important study provides new evidence on the role of norepinephrine (NE) release in the hippocampus in response to environmental transitions (event boundaries), providing a potential link between ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...

Learn More A new neural-network architecture developed by researchers ... and long-term memory — each serving a different function with different neural structures, and each capable of operating ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

It’s genuinely clever, and it uses AI in real time to work it all out – there are basically loads of neural networks processing the game data live as you play, learning what’s in the scene ...

This paper introduces a Self-Organizing Map (SOM) neural network-based methodology for port function clustering, applied to 24 major ports spanning from the South China Sea to the ASEAN region in 2023 ...