163 lines
No EOL
5.2 KiB
HTML
163 lines
No EOL
5.2 KiB
HTML
<!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 Diffusion</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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#credits {
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position: fixed;
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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="credits">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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const params = {
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motion: 0.564,
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density: 0.586,
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complexity: 0.420,
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connectedness: 0.512,
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lifespan: 0.532,
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pulse: { avg: 0.47, min: 0.30, max: 1.55 }
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};
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const gridSize = Math.min(120, 80 + Math.floor(params.density * 40));
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const cellSize = Math.max(4, 8 - Math.floor(params.complexity * 3));
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const cols = Math.floor(canvas.width / cellSize);
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const rows = Math.floor(canvas.height / cellSize);
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const grid = createGrid();
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const nextGrid = createGrid();
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let frameCount = 0;
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function createGrid() {
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const size = Math.floor(cols * rows * params.density);
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const g = new Array(size).fill(0);
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for (let i = 0; i < size; i++) {
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g[i] = Math.random() * 0.1;
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}
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return g;
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}
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function updateGrid() {
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const p = params.pulse;
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const pulseVal = p.min + (p.max - p.min) * (Math.sin(frameCount * 0.05) * 0.5 + 0.5);
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for (let i = 0; i < grid.length; i++) {
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const x = i % cols;
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const y = Math.floor(i / cols);
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const neighbors = getNeighbors(x, y);
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let sum = 0;
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for (const n of neighbors) {
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sum += grid[n];
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}
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sum /= neighbors.length;
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const reaction = grid[i] * (1 - grid[i]) * 0.5;
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const diffusion = (sum - grid[i]) * 0.1 * pulseVal;
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nextGrid[i] = Math.min(1, Math.max(0, grid[i] + reaction + diffusion));
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}
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const temp = grid;
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grid.length = 0;
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grid.push(...nextGrid);
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nextGrid.length = 0;
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nextGrid.push(...temp);
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}
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function getNeighbors(x, y) {
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const neighbors = [];
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const offsets = [
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[-1, -1], [0, -1], [1, -1],
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[-1, 0], [1, 0],
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[-1, 1], [0, 1], [1, 1]
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];
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for (const [dx, dy] of offsets) {
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const nx = (x + dx + cols) % cols;
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const ny = (y + dy + rows) % rows;
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neighbors.push(ny * cols + nx);
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}
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return neighbors;
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}
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function drawGrid() {
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ctx.clearRect(0, 0, canvas.width, canvas.height);
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for (let i = 0; i < grid.length; i++) {
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if (grid[i] > 0.01) {
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const x = (i % cols) * cellSize;
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const y = Math.floor(i / cols) * cellSize;
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const size = cellSize * grid[i] * (0.5 + params.pulse.avg) * 2;
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const alpha = grid[i] * 0.8;
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ctx.fillStyle = `rgba(150, 200, 255, ${alpha})`;
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ctx.beginPath();
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ctx.arc(x + cellSize/2, y + cellSize/2, size/2, 0, Math.PI * 2);
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ctx.fill();
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}
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}
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for (let i = 0; i < grid.length; i++) {
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if (grid[i] > 0.3) {
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const x = (i % cols) * cellSize;
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const y = Math.floor(i / cols) * cellSize;
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ctx.strokeStyle = `rgba(255, 255, 255, ${grid[i] * 0.3})`;
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ctx.lineWidth = 1;
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ctx.beginPath();
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const neighbors = getNeighbors(i % cols, Math.floor(i / cols));
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for (const n of neighbors) {
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if (grid[n] > 0.3 && Math.random() < params.connectedness) {
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ctx.moveTo(x + cellSize/2, y + cellSize/2);
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const nx = (n % cols) * cellSize;
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const ny = Math.floor(n / cols) * cellSize;
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ctx.lineTo(nx + cellSize/2, ny + cellSize/2);
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}
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}
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ctx.stroke();
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}
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}
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}
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function animate() {
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updateGrid();
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drawGrid();
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frameCount++;
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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> |