Combining microscopy, scanning, and deep learning enables more precise imaging of functional dynamics in neural networks of human cortical organoids.

Neural interfaces are devices that can detect or modulate neuronal activity when placed in contact with the brain. They are already used to treat various conditions related to the nervous system.

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...

The DeepInMiniMicroscope developed by UC Davis electrical engineering professor Weijian Yang combines optical technology and machine learning to create a device that can take high-resolution ...

From outer space to the human brain, Tufts University’s research labs explore various fields of science to uncover new insights and develop principles to test them. Diving deep into the human brain, ...

A research team from the School of Engineering at The Hong Kong University of Science and Technology (HKUST) has achieved a breakthrough in brain imaging by developing the world's first technology to ...

A project at the University of Colorado Boulder (CU Boulder) has developed a new way to image neural activity in live animals. Described in Biomedical Optics Express, the device is a miniaturized ...

Neuronal sequences in the medial prefrontal cortex of the brain encode critical information associated with a procedural rule. These sequences can be explored and leveraged as novel biomarkers for ...

Researchers have discovered how newly created neurons depend on blood flow in the adult brain to travel from their site of origin to their final location. The study in mice, published today in eLife ...