Despite its popularity backpropagation has some disadvantages

• Learning is slow

• New learning will rapidly overwrite old representations, unless these are interleaved (i.e., repeated) with the new patterns

• This makes it hard to keep networks up-to-date with new information (e.g., dollar rate)

• This also makes it very implausible from as a psychological model of human memory