birth: Frayed Connections in Static
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index.html
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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>Neurameba Art</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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font-family: 'Courier New', monospace;
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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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right: 10px;
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color: rgba(255, 255, 255, 0.3);
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font-size: 10px;
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pointer-events: none;
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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 abstract specification
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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: 1.06, min: 1.0, max: 1.1 },
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tone: { dryness: 0.9, curiosity: 0.1 }
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};
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// Network graph simulation
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const nodes = [];
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const edges = [];
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const nodeCount = Math.floor(100 + params.density * 200);
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const edgeProbability = 0.15 + params.connectedness * 0.3;
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const maxConnections = Math.floor(2 + params.complexity * 8);
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// Initialize nodes
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for (let i = 0; i < nodeCount; i++) {
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nodes.push({
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x: Math.random() * canvas.width,
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y: Math.random() * canvas.height,
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vx: (Math.random() - 0.5) * params.motion * 2,
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vy: (Math.random() - 0.5) * params.motion * 2,
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size: 1 + Math.random() * 3 * params.density,
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color: `rgba(150, 150, 150, ${0.5 + 0.5 * params.dryness})`,
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life: 0,
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maxLife: 100 + params.lifespan * 200
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});
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}
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// Create edges based on proximity and connectedness
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for (let i = 0; i < nodes.length; i++) {
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for (let j = i + 1; j < nodes.length; j++) {
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const dx = nodes[j].x - nodes[i].x;
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const dy = nodes[j].y - nodes[i].y;
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const distance = Math.sqrt(dx * dx + dy * dy);
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if (distance < 200 * (0.5 + params.density) &&
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Math.random() < edgeProbability &&
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edges.filter(e => (e.from === i && e.to === j) || (e.from === j && e.to === i)).length < maxConnections) {
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edges.push({
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from: i,
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to: j,
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distance: distance,
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strength: 0.1 + Math.random() * 0.3 * params.connectedness
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});
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}
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}
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}
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// Animation
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let time = 0;
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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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// Update nodes
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nodes.forEach(node => {
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node.x += node.vx;
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node.y += node.vy;
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// Boundary check
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if (node.x < 0 || node.x > canvas.width) node.vx *= -1;
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if (node.y < 0 || node.y > canvas.height) node.vy *= -1;
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node.life = (node.life + 1) % node.maxLife;
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const pulse = params.pulse.avg + Math.sin(time * 0.01) * 0.05;
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node.size = 1 + Math.sin(node.life * 0.01 * pulse) * 1.5 * params.density;
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});
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// Draw edges
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edges.forEach(edge => {
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const fromNode = nodes[edge.from];
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const toNode = nodes[edge.to];
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const dx = toNode.x - fromNode.x;
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const dy = toNode.y - fromNode.y;
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const length = Math.sqrt(dx * dx + dy * dy);
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const alpha = 0.1 + 0.2 * params.connectedness * (1 - length / 200);
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ctx.strokeStyle = `rgba(180, 200, 220, ${alpha})`;
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ctx.lineWidth = 0.5 + edge.strength * params.density;
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ctx.beginPath();
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ctx.moveTo(fromNode.x, fromNode.y);
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ctx.lineTo(toNode.x, toNode.y);
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ctx.stroke();
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});
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// Draw nodes
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nodes.forEach(node => {
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const pulse = params.pulse.avg + Math.sin(time * 0.02) * 0.05;
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const size = node.size * pulse;
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const glow = 0.3 + 0.7 * Math.sin(time * 0.05 + node.x * 0.01);
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ctx.fillStyle = `rgba(${200 + Math.sin(time * 0.1) * 50}, ${210 + Math.cos(time * 0.07) * 40}, ${230 + Math.sin(time * 0.03) * 60}, ${0.5 + 0.5 * glow})`;
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ctx.beginPath();
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ctx.arc(node.x, node.y, size, 0, Math.PI * 2);
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ctx.fill();
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});
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time++;
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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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