Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

To this end, we constructed a spiking neural network model comprising randomly and sparsely connected excitatory and inhibitory neurons while adjusting the EI ratio to physiological values for ...

A solid vertical line demonstrates the EI ratio in the classical balanced state. Figure adapted from Huang et al. (2022) (19) with permission. The network activity across varying EI ratios, Jei and ...

Abstract: The processing of complex-valued data and multidomain feature fusion is essential in sensor networks, especially for applications like communication modulation recognition and signal ...

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 ...