Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in …

Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …

There has been a resurgence of interest in optical computing since the early 2010s, both in
academia and in industry, with much of the excitement centred around special-purpose …

Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in …

An increasing number of studies are highlighting the importance of spatial dendritic
branching in pyramidal neurons in the neocortex for supporting non-linear computation …

It is widely believed the brain-inspired spiking neural networks have the capability of
processing temporal information owing to their dynamic attributes. However, how to …

The rapid development and efficiency of Artificial Intelligence (AI) tools have made them
increasingly popular in various fields and research domains. The environmental discipline is …

The brain is a remarkably capable and efficient system. It can process and store huge
amounts of noisy and unstructured information, using minimal energy. In contrast, current …

How can neuromorphic hardware attain brain-like functional capabilities? | National Science
Review | Oxford Academic Skip to Main Content Advertisement Oxford Academic Journals …

Neuromorphic technologies typically employ a point neuron model, neglecting the
spatiotemporal nature of neuronal computation. Dendritic morphology and synaptic …