You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: The last column of Figure 2 displays the block outputs and visualizes the concept of “information highways”.Most of the outputs stay constant over many layers forming a pattern of stripes.Most of the change in outputs happens in the early layers (\approx 15 for MNIST and \approx 40 for CIFAR-100). To overcome this, we take inspiration from Long Short Term Memory (LSTM) recurrent networks [29, 30]. We propose to modify the architecture of very deep feedforward networks such that information flow across layers becomes much easier. This is accomplished through an LSTM-inspired adaptive gating mechanism that allows for computation paths along which information can flow across many layers without attenuation. We call such paths information highways. They yield highway networks, as opposed to traditional ‘plain’ networks.111This paper expands upon a shorter report on Highway Networks [31]. More recently, a similar LSTM-inspired model was also proposed [32].

Question: The authors claims that the LSTM networks systems allow the flow of information across many layers without attenuation, is that true?
Inspired by LSTM, the authors designed an information highway that adaptively passes information back, which is effective when there are many layers, so LSTM is also effective for many layers.