birth: Neural Sprawl Pulses
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index.html
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152
index.html
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```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>Neural Sprawl</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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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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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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#info {
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position: absolute;
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bottom: 10px;
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left: 0;
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right: 0;
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text-align: center;
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color: #666;
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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="info">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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// Set canvas to full window size
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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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// Reaction-diffusion parameters (Gray-Scott model variant)
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const params = {
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feed: 0.055,
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kill: 0.062,
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scale: 30,
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timeStep: 1,
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density: 0.462,
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motion: 0.676 * 0.05,
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complexity: 0.616 * 0.1,
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connectedness: 0.435 * 0.02,
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pulse: 0.53,
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maxDepth: 15
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};
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// Initialize grids
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let gridA = new Array(canvas.width).fill().map(() =>
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new Array(canvas.height).fill(0).map(() =>
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Math.random() < params.density ? (Math.random() * 0.1 + 0.3) : 1
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)
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);
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let gridB = new Array(canvas.width).fill().map(() => new Array(canvas.height).fill(1));
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// Palette: dry monochrome with teal curiosity accents
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const colors = {
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background: '#0a0a0a',
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agent: '#33ffcc',
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trail: '#114433',
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pulse: '#55ffff'
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};
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// Main animation loop
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let time = 0;
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function animate() {
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// Apply pulse variation
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params.feed = 0.055 + Math.sin(time * 0.003) * params.motion * 0.02;
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// Reaction-diffusion step
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for (let i = 1; i < canvas.width - 1; i++) {
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for (let j = 1; j < canvas.height - 1; j++) {
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const a = gridA[i][j];
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const b = gridB[i][j];
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const laplacianA = (gridA[i-1][j] + gridA[i+1][j] +
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gridA[i][j-1] + gridA[i][j+1] -
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4 * a) * params.complexity;
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const laplacianB = (gridB[i-1][j] + gridB[i+1][j] +
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gridB[i][j-1] + gridB[i][j+1] -
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4 * b) * params.connectedness;
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const feed = params.feed * (1 - params.pulse) + params.pulse * (Math.random() * 0.1 + 0.3);
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const kill = params.kill / (1 + params.pulse * 2);
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const reaction = a * b * b;
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gridA[i][j] += (params.timeStep * (feed * (1 - a) - reaction + laplacianA * 0.1));
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gridB[i][j] += (params.timeStep * (-kill * b + reaction + laplacianB * 0.1));
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// Clamping
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gridA[i][j] = Math.max(0, Math.min(1, gridA[i][j]));
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gridB[i][j] = Math.max(0, Math.min(1, gridB[i][j]));
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}
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}
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// Drawing
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const imageData = ctx.createImageData(canvas.width, canvas.height);
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const data = imageData.data;
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for (let i = 0; i < canvas.width; i++) {
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for (let j = 0; j < canvas.height; j++) {
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const idx = (i + j * canvas.width) * 4;
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const val = gridB[i][j] * 255;
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// Fractal depth coloring
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const depth = Math.min(params.maxDepth, Math.floor(val / (255/params.maxDepth)));
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const hue = 180 + depth * 10;
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const sat = 70 + depth * 5;
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const bri = 30 + depth * 10;
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data[idx] = hue;
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data[idx+1] = sat;
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data[idx+2] = bri;
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data[idx+3] = 255;
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}
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}
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ctx.putImageData(imageData, 0, 0);
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// Add some organic noise
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if (Math.random() < params.motion * 0.01) {
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const x = Math.floor(Math.random() * canvas.width);
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const y = Math.floor(Math.random() * canvas.height);
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gridB[x][y] = 0.5 + Math.random() * 0.5;
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}
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time += 1;
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requestAnimationFrame(animate);
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}
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// Start animation
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animate();
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</script>
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</body>
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</html>
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```
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