Scientists have successfully grown over 400 different types of nerve cells from stem cells in the lab—a groundbreaking step toward replicating the complexity of the human brain.

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

A new study reveals that inhibitory neurons born later in development mature more quickly than earlier ones, allowing them to catch up and integrate evenly into neural networks.

Implantable bioelectronics are vital to neuroscience, neurological therapies, and brain-machine interfaces. They serve as ...

Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...

In the hippocampus, a critical brain region for learning and memory, new cells emerge in some people into late adulthood, ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Scientists have uncovered how a protein helps build and maintain vital brain connections, providing insights into the ...

UCLA researchers have made a significant discovery showing that biological brains and artificial intelligence systems develop ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...