Artificial Neural Networks (ANNs ... using a training data set to configure the weights associated with each ‘neuron’. Due to the complexity of these ANNs for non-trivial data sets, it ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features ... calculations independently of the main neuron. Additionally, dendrites are ...

“When you write code to build an artificial neural network, you're basically defining this architecture,” explained Grace Lindsay, a computational neuroscientist at New York University. She uses ANNs ...

Artificial neurons modeled on biology learn independently, self-organizing and adapting based on information from their local ...

Artificial neural networks have been applied ... we can make the network 'learn' to solve many types of problems. A model neuron is referred to as a threshold unit and its function is illustrated ...