Johns Hopkins scientists have developed a method involving artificial intelligence to visualize and track changes in the strength of synapses—the connection points through which nerve cells in the ...

In a recent study published in PNAS Nexus, researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence from brain connectivity, rather ...

Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings. The findings will be presented on Monday, November ...

Scientists have grown a tiny brain-like organoid out of human stem cells, hooked it up to a computer, and demonstrated its potential as a kind of organic machine learning chip, showing it can quickly ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...

Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals ...

Scientists have previously only gotten 'synaptic transistors' to work under cryogenic conditions, but this is the first that can operate at room temperature — while outperforming today's best-in-class ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...

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