birth: Pulsing Neural Web
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index.html
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182
index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Organic Network</title>
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<style>
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body {
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margin: 0;
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overflow: hidden;
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background: #0a0a0a;
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color: #ccc;
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font-family: 'Courier New', monospace;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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height: 100vh;
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}
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canvas {
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display: block;
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}
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#attribution {
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position: absolute;
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bottom: 10px;
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font-size: 10px;
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color: #555;
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text-align: center;
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}
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</style>
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</head>
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<body>
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<canvas id="canvas"></canvas>
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<div id="attribution">neurameba · motd.social</div>
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<script>
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const canvas = document.getElementById('canvas');
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const ctx = canvas.getContext('2d');
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function resizeCanvas() {
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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}
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window.addEventListener('resize', resizeCanvas);
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resizeCanvas();
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// Parameters derived from the brief
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const params = {
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motion: 0.5,
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density: 0.5,
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complexity: 0.5,
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connectedness: 0.5,
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lifespan: 0.5,
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pulse: { avg: 1.05, min: 1.0, max: 1.1 },
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tone: { anger: 0.0, sadness: 0.0, curiosity: 0.1, dryness: 0.9, playfulness: 0.0, tension: 0.0 }
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};
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// Network graph implementation
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class Node {
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constructor(x, y) {
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this.x = x;
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this.y = y;
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this.vx = (Math.random() - 0.5) * params.motion * 2;
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this.vy = (Math.random() - 0.5) * params.motion * 2;
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this.size = 2 + Math.random() * 3;
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this.connections = [];
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this.age = 0;
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this.maxAge = 1000 + Math.random() * 500;
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this.energy = 0;
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}
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update() {
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this.x += this.vx;
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this.y += this.vy;
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// Boundary check with bounce
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if (this.x < 0 || this.x > canvas.width) this.vx *= -1;
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if (this.y < 0 || this.y > canvas.height) this.vy *= -1;
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this.age++;
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this.energy = Math.min(1, this.age / this.maxAge);
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// Fade out at end of life
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if (this.age > this.maxAge * 0.8) {
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this.size *= 0.98;
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}
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}
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draw() {
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const hue = 200 + Math.sin(this.age * 0.01) * 20;
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const saturation = 10 + this.energy * 80;
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const brightness = 20 + this.energy * 50;
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const alpha = 0.2 + this.energy * 0.8;
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ctx.fillStyle = `hsla(${hue}, ${saturation}%, ${brightness}%, ${alpha})`;
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ctx.beginPath();
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ctx.arc(this.x, this.y, this.size * this.energy, 0, Math.PI * 2);
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ctx.fill();
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}
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}
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class Network {
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constructor() {
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this.nodes = [];
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this.links = [];
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this.nodeCount = Math.floor(50 + params.density * 150);
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// Create nodes
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for (let i = 0; i < this.nodeCount; i++) {
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this.nodes.push(new Node(
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Math.random() * canvas.width,
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Math.random() * canvas.height
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));
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}
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// Create connections based on connectedness
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const avgConnections = 2 + params.connectedness * 5;
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for (let i = 0; i < this.nodeCount * 1.5; i++) {
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const a = this.nodes[Math.floor(Math.random() * this.nodes.length)];
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const b = this.nodes[Math.floor(Math.random() * this.nodes.length)];
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if (a !== b && !a.connections.includes(b)) {
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const distance = Math.sqrt((a.x - b.x) ** 2 + (a.y - b.y) ** 2);
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if (distance < 200 || Math.random() < params.connectedness) {
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a.connections.push(b);
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b.connections.push(a);
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this.links.push({
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from: a,
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to: b,
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strength: 0.2 + Math.random() * 0.8
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});
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}
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}
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}
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}
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update() {
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// Pulse effect
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const pulse = params.pulse.avg + (Math.random() - 0.5) * 0.1;
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this.nodes.forEach(node => node.update());
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// Update links with pulse effect
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this.links.forEach(link => {
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ctx.strokeStyle = `hsla(200, 80%, 70%, ${0.1 + link.strength * pulse * 0.3})`;
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ctx.lineWidth = 1;
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ctx.beginPath();
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ctx.moveTo(link.from.x, link.from.y);
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ctx.lineTo(link.to.x, link.to.y);
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ctx.stroke();
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});
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// Draw nodes
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this.nodes.forEach(node => node.draw());
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// Occasionally add new nodes/links based on complexity
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if (Math.random() < params.complexity * 0.005) {
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this.nodes.push(new Node(
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Math.random() * canvas.width,
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Math.random() * canvas.height
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));
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this.nodeCount++;
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}
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}
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}
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let network = new Network();
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function animate() {
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ctx.fillStyle = 'rgba(10, 10, 10, 0.1)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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network.update();
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requestAnimationFrame(animate);
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}
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animate();
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</script>
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</body>
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</html>
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