Tag Info

New answers tagged

3

The weights in an artificial neural network are an approximation of multiple processes combined that take place in biological neurons. Myelination plays a role, but not a major one. Weights in artificial neural networks can be positive or negative numbers. Weight magnitude. The magnitude of a weight is analogous to a combination of increased dendritic ...


0

Historically, neuroscientists have not thought of myelination to be the biological analogue of weights in an artificial neural network (but see below!). Instead, the strength of synaptic connections seems to be the most likely analogue. Here, strength refers mostly to the size and of the voltage response in the receiving neuron due to the release of ...


3

The weight matrix is typically considered to be a strength of connectivity metric between nodes in the parallel computronium model that neural networks are based on. That fact is fairly evident when you investigate ANN learning algorithms. For instance, the backpropagation algorithm for feedforward networks is designed to strengthen a string of associations ...



Top 50 recent answers are included