Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...

Abstract: Stimulus reconstruction or decoding methods provide an important tool for understanding how sensory and motor information is represented in neural activity. We discuss Bayesian decoding ...

Learn about the Network in Network architecture and its impact on improving performance in deep neural networks using PyTorch.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations—it's a triumph of your ...

Explore the architecture of AlexNet, a groundbreaking deep neural network that revolutionized computer vision. This video walks through its layers and impact on the field of AI.

In a study published in Neuron, a research team led by Prof. Wang Liping from the Shenzhen Institutes of Advanced Technology ...

and reveals a novel neural-glia-fibroblast-lymphatic regulatory axis. This provides a new framework for understanding how the brain adapts its lymphatic network based on functional needs ...

But neural networks only predict based on patterns from the past—what happens when the weather does something that's unprecedented ... Swarming is one of the principal forms of bacterial ...