Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

When it comes to training neural circuits for tissue engineering or biomedical applications, a new study suggests a key parameter: Train them young. When it comes to training neural circuits for ...

When it comes to training neural circuits for tissue engineering or biomedical applications, a new study suggests a key parameter: Train them young. Techniques for training engineered neural circuits ...

Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch and online. Training a neural network is the process of ...

Cognitive (or brain) training includes a range of activities that are aimed at specific elements of cognition, such as those that test your working memory, reasoning & judgment, problem-solving, and ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

The results, published September 8 in PLOS Biology, support the idea that neurofeedback methods could help reveal how the brain’s behavior gives rise to perceptions and emotions. What’s more, the ...

For all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner workings has always been near ...