Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …

For over a century, the neuron doctrine—which states that the neuron is the structural and
functional unit of the nervous system—has provided a conceptual foundation for …

Brain-inspired parallel computing, which is typically performed using a hardware neural-
network platform consisting of numerous artificial synapses, is a promising technology for …

Nonvolatile redox transistors (NVRTs) based upon Li-ion battery materials are demonstrated
as memory elements for neuromorphic computer architectures with multi-level analog …

A striking difference between brain-inspired neuromorphic processors and current von
Neumann processor architectures is the way in which memory and processing is organized …

Most accounts of human cognitive architectures have focused on computational accounts of
cognition while making little contact with the study of anatomical structures and physiological …

The development of human cognition results from the emergence of coordinated activity
between distant brain areas. Network science, combined with non-invasive functional …

Inspired by the brain's structure, we have developed an efficient, scalable, and flexible non–
von Neumann architecture that leverages contemporary silicon technology. To demonstrate …

Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …

What explains the dramatic progress from 20th-century to 21st-century AI, and how can the
remaining limitations of current AI be overcome? The widely accepted narrative attributes …