Neural networks, whether biological, artificial, or otherwise, are systems whose behavior emerges from large numbers of relatively simple components acting together. They are difficult to see, challenging to describe, and especially tricky to represent across scales. This workshop asks how design and visualization can make the structure and activity of neural systems perceptible without pretending to make them simple. We’ll look at LLMs, brains, and other neural nets and work to understand how these information landscape respond to queries about space, meaning, power and landscape.