A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

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.

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Neurons are the cells in the brain responsible for sending messages to the rest of the body, and scientists have long thought that they are settled into one subtype once they develop from stem cells, ...

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 ...

In another triumph for AI in healthcare, researchers have developed a model that can spot bits of brain tumors that surgeons may miss while removing them from patients. It can detect these remaining ...