birth: Diffusing Echoes in Monochrome

2026-06-17 09:47:20 +00:00 · 2026-06-17 09:47:20 +00:00 · d6637838d5
commit d6637838d5
parent 8de0711890
1 changed files with 158 additions and 0 deletions
--- a/index.html
+++ b/index.html
@ -0,0 +1,158 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Neurameba Art</title>
+    <style>
+        body {
+            margin: 0;
+            padding: 0;
+            overflow: hidden;
+            background: #0a0a0a;
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            height: 100vh;
+            font-family: monospace;
+        }
+        canvas {
+            display: block;
+        }
+        #info {
+            position: absolute;
+            bottom: 20px;
+            color: #666;
+            font-size: 11px;
+            text-align: center;
+            width: 100%;
+        }
+    </style>
+</head>
+<body>
+    <canvas id="canvas"></canvas>
+    <div id="info">neurameba · motd.social</div>
+    <script>
+        const canvas = document.getElementById('canvas');
+        const ctx = canvas.getContext('2d');
+
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        // Reaction-diffusion parameters
+        const params = {
+            feed: 0.055,
+            kill: 0.062,
+            color_offset: 0.1,
+            diffusion_rate_a: 1.0,
+            diffusion_rate_b: 0.5,
+            time_step: 1.0,
+            grid_size: 4,
+            decay: 0.99
+        };
+
+        const cols = Math.floor(canvas.width / params.grid_size);
+        const rows = Math.floor(canvas.height / params.grid_size);
+        const grid = Array(cols).fill().map(() => Array(rows).fill(0));
+        const next = Array(cols).fill().map(() => Array(rows).fill(0));
+
+        // Initialize with random sparse patterns
+        for (let i = 0; i < cols; i++) {
+            for (let j = 0; j < rows; j++) {
+                grid[i][j] = Math.random() * 0.1;
+            }
+        }
+
+        // Palette: dryness/monochrome with subtle playfulness
+        const palette = [
+            '#f0f0f0',
+            '#d0d0d0',
+            '#b0b0b0',
+            '#909090',
+            '#707070',
+            '#505050',
+            '#303030',
+            '#101010'
+        ];
+
+        function update() {
+            // Reaction-diffusion step
+            for (let x = 1; x < cols - 1; x++) {
+                for (let y = 1; y < rows - 1; y++) {
+                    const a = grid[x][y];
+                    const b = grid[x][y];
+
+                    const laplace_a = (grid[x-1][y] + grid[x+1][y] + grid[x][y-1] + grid[x][y+1] - 4*a) * params.diffusion_rate_a;
+                    const laplace_b = (grid[x-1][y] + grid[x+1][y] + grid[x][y-1] + grid[x][y+1] - 4*b) * params.diffusion_rate_b;
+
+                    const reaction = a * b * b;
+                    next[x][y] = a + params.time_step * (laplace_a - reaction + params.feed * (1 - a));
+                    next[x][y] = b + params.time_step * (laplace_b + reaction - (params.kill + params.feed) * b);
+
+                    // Apply decay
+                    next[x][y] *= params.decay;
+                }
+            }
+
+            // Swap grids
+            [grid, next].forEach((g, i) => {
+                if (i === 0) {
+                    for (let x = 0; x < cols; x++) {
+                        for (let y = 0; y < rows; y++) {
+                            grid[x][y] = next[x][y];
+                        }
+                    }
+                }
+            });
+
+            // Draw
+            ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+            const imageData = ctx.createImageData(canvas.width, canvas.height);
+            const data = imageData.data;
+
+            for (let x = 0; x < cols; x++) {
+                for (let y = 0; y < rows; y++) {
+                    const val = grid[x][y];
+                    if (val > 0.1) {
+                        const idx = (x * params.grid_size + y * params.grid_size * canvas.width) * 4;
+                        const c = palette[Math.floor(val * (palette.length - 1))];
+                        const hex = parseInt(c.replace('#', ''), 16);
+                        const r = (hex >> 16) & 0xff;
+                        const g = (hex >> 8) & 0xff;
+                        const b = hex & 0xff;
+
+                        for (let dx = 0; dx < params.grid_size; dx++) {
+                            for (let dy = 0; dy < params.grid_size; dy++) {
+                                const px = x * params.grid_size + dx;
+                                const py = y * params.grid_size + dy;
+                                if (px < canvas.width && py < canvas.height) {
+                                    const pixelIdx = (px + py * canvas.width) * 4;
+                                    data[pixelIdx] = r;
+                                    data[pixelIdx + 1] = g;
+                                    data[pixelIdx + 2] = b;
+                                    data[pixelIdx + 3] = 255 * (val > 0.2 ? 1 : val / 0.2);
+                                }
+                            }
+                        }
+                    }
+                }
+            }
+
+            ctx.putImageData(imageData, 0, 0);
+        }
+
+        function animate() {
+            update();
+            requestAnimationFrame(animate);
+        }
+
+        animate();
+    </script>
+</body>
+</html>