An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
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) ...
Understanding the shape or morphology of neurons and mapping the tree-like branches via which they receive signals from other cells (i.e., dendrites) is a long-standing objective of neuroscience ...
Mayo Clinic researchers have developed and tested a new 3D surface scanning approach that gives neurosurgeons even greater precision when operating deep inside the brain. The system aligns a patient's ...
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 ...
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