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

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

The implementation of large-scale, low-power hard-ware neuromorphic computing systems with memristors is an emerging way to break through the limitations of traditional computers and improve ...

Billion times faster chip-based laser neuron can process 34.7 million images per second The researchers have created chip-based quantum-dot laser-graded neurons. Published: Dec 19, 2024 10:00 AM EST ...

With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction. Share: FULL STORY ...

Oct 22, 2024 Single-transistor neuron redefines efficiency in neuromorphic computing (Nanowerk Spotlight) Computing systems have made impressive progress, but they still fall short when compared to ...

where Ui (t) is the membrane potential that characterizes the hidden state of the neuron, Urest is the resting potential, τ mem is the membrane time constant, R is the input resistance, and Ii (t) is ...