Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Scientists have developed the largest and most detailed computational models of rat hippocampal and somatosensory cortex regions to date. They have released these models and the tools for their use to ...

Neural tissue engineering aims to mimic the brain's complex environment, the extracellular matrix, which supports nerve cell growth, development, and proper connectivity. This environment is carefully ...

The morphogenesis of brain folding patterns across species is studied by physical gel models, simulations, and a quantitative morphometric analysis.

By editing thousands of genes in mouse stem cells, the scientists identified a list of over 300 that are crucial for neural differentiation.

Physical gel models and numerical simulations have been created to study ferret brain gyrification and cortical malformations, while comparisons with human phenotypes aim to link genetics and brain ...

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence models to distinguish brain tumors from healthy tissue. AI ...