Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Researchers have developed a groundbreaking ultrasound device that can stimulate several precise points in the brain at the same time, marking a leap forward in non-invasive neuromodulation.

Fluctuations in brain activity, also known as neural variability, enable us to be flexible in adjusting our behavior to the ...