Abstract: Convolutional neural networks (CNNs) have emerged as a preferred approach for medical image analysis. The dimensionality of images is a principal factor in CNN models, as they are designed ...
BrainMass is a Python library for whole-brain computational modeling using differentiable neural mass models. Built on JAX for high-performance computing, it provides tools for simulating brain ...
Abstract: Brain-controlled systems have experienced significant advancements in overall performance, largely driven by continuous optimization and innovation in electroencephalography (EEG) ...
This important study characterises the morphogenesis of cortical folding in the ferret and human cerebral cortex using complementary physical and computational modelling. Notably, these approaches are ...
In an article published in Advanced Science, the researchers identify how neural stem cells in preterm infants are injured following cerebral hemorrhage. We have managed to create a model where we can ...
Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that ...
Located in the middle of the South Pacific, thousands of miles from the nearest continent, Easter Island (Rapa Nui) is one of the most remote inhabited places on Earth. To visit it and marvel at the ...