Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...

For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory rather than the cells and circuits that go wrong. Now a new wave of brain ...

In the cerebral cortex, numerous neurons exchange information through junctions known as synapses. The strength of each synaptic connection changes depending on the activity levels of the neurons ...

Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

People with post-traumatic stress disorder (PTSD) experience traumatic memories differently than other types of negative memories. A recent Nature Neuroscience study investigates the neural patterns ...