Deep learning has enabled major advances across most areas of artificial intelligence
research. This remarkable progress extends beyond mere engineering achievements and …

Neurons play an important role in forming behaviors and cognition through synaptic
interactions. When organized into neural networks, these neurons can exhibit complex …

Computational neuroscience continues to be a broad and dynamic discipline that transforms
itself as new experimental methods make the collection of new, often multi-modal data types …

Emerging folklore in the cognitive sciences suggests that interpretability techniques to
reverse-engineer artificial neural networks (ANNs) could speed up discovery and theory …

Amid escalating urbanization, devising rational commercial space layouts is a critical
challenge. By leveraging machine learning, this study used a backpropagation (BP) neural …