Weight

In the context of neuroscience, particularly neuromorphic computing, "weight" often refers to the concept of synaptic weight, which is crucial for memory formation. Jeffrey Shainline discusses how synaptic weights in a neural network can be dynamically adjusted based on certain criteria in both supervised and unsupervised learning scenarios. This adjustment affects the strength of connectivity between neurons, essential for storing and recalling memory patterns 1.