A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.

In the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from neuroscience to create more ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

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 ...

A new theoretical study argues that many standard beliefs about consciousness are rooted in a misleading concept of how the ...

In a study published in Science, researchers at Karolinska Institutet describe the neural processes behind how morphine relieves pain. This is valuable knowledge because the drug has such serious side ...

The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics modeled as interacting sequences of discrete events including systems of biochemical reactions or ...