Neural Network

Neural Network surrounds an object with a cloud of glowing nodes joined by thin lines, with bright pulses of signal travelling along those lines from node to node, like synapses firing in a brain or data moving through an AI.

How it works

The nodes are spread evenly over a sphere around the object, and nearby nodes are wired together. Each node slowly orbits around its own axis, so the network keeps shifting and the connecting lines stretch and swing with it. Every fraction of a second a new signal pulse, a small bright point, sets off along a random connection and runs from one node to the other. The lines are drawn in a dim version of the node colour, which keeps the moving pulses the brightest thing in the effect. Nodes are small glowing spheres whose size follows the Intensity setting.

Settings

• Node Count: from eight to forty nodes.
• Signal Speed: how fast the pulses travel along the connections.
• Orbit Speed: how fast the nodes drift around their axes.
• Node Color: the nodes and, more dimly, the lines.
• Pulse Color: the travelling signals.
• Intensity: the size and glow of the nodes and pulses.
• Speed: the overall pace, including how often new pulses start.

Use it for

AI and machine-learning products, brain and neuroscience visuals, network and connectivity themes, tech landing pages. Compare it with Constellation, which twinkles instead of firing signals, and with Data Stream.