Network architectures and learning principles have been critical in developing complex cognitive capabilities in artificial neural ... the network motifs in SNN, the Motif mask is used to mask the ...

Abstract: In Collaborative Intelligence (CI), the Artificial Intelligence (AI ... Previous research has demonstrated that Spiking Neural Network (SNN)-based SC models exhibit greater robustness on ...

Despite the recent increase in publications on AI solutions based on artificial neural network (ANN) and the recognized success ... in which the authors propose a brain topology-improved SNN for ...

are emerging as a promising energy-efficient alternative to traditional artificial neural networks (ANNs) due to their spike-driven paradigm. However, recent research in the SNN domain has mainly ...

Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person could adjust their attention to downplay those crunch noises or focus their ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Researchers have mapped over 70,000 synaptic connections in rat neurons using a silicon chip with 4,096 microhole electrodes, significantly advancing neuronal recording technology.

Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

The rise of artificial intelligence (AI) has transformed industries like healthcare, transportation, and manufacturing.