Developed by U of T Engineering researchers, the tool uses early-stage data to predict the potential real-world use for a new ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Li, D. , Tao, Q. and Yang, P. (2025) Characterization of Canyon Wall Slump and Its Impact on Infilling of the Central Canyon in Qiongdongnan Basin. Journal of Geoscience and Environment Protection, 13 ...