Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code.

Instead, neural networks function along an expanding curve, which can be analyzed and understood using hyperbolic geometry and information theory," says Salk Professor Tatyana Sharpee, holder of ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

Many of the functions of the brain continue to remain a mystery, but what we know is that biological neural networks enable the brain to process huge amounts of information in complicated ways.

A variation in the gene PICALM has a profound effect on microglia function, increasing the risk of Alzheimer's developing.

Microglia work to repair neuronal damage and maintain the health of neural networks. But variants in one gene can affect that ...