birth: Microbial Echoes in Static

2026-07-12 01:47:19 +00:00 · 2026-07-12 01:47:19 +00:00 · b2aa21a587
commit b2aa21a587
parent 9d416c8485
1 changed files with 167 additions and 0 deletions
--- a/index.html
+++ b/index.html
@ -0,0 +1,167 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Microbial Echoes</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background: #0a0a0a;
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            height: 100vh;
+            font-family: 'Courier New', monospace;
+        }
+        canvas {
+            display: block;
+        }
+        #attribution {
+            position: absolute;
+            bottom: 20px;
+            left: 50%;
+            transform: translateX(-50%);
+            color: #444;
+            font-size: 12px;
+            pointer-events: none;
+        }
+    </style>
+</head>
+<body>
+    <canvas id="canvas"></canvas>
+    <div id="attribution">neurameba · motd.social</div>
+    <script>
+        const canvas = document.getElementById('canvas');
+        const ctx = canvas.getContext('2d');
+
+        // Set canvas to full window size
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        // Parameters from input
+        const params = {
+            motion: 0.5,
+            density: 0.5,
+            complexity: 0.5,
+            connectedness: 0.5,
+            lifespan: 0.5,
+            pulse: { avg: 1.07, min: 1.0, max: 1.1 },
+            tone: { dryness: 0.9 }
+        };
+
+        // Reaction-diffusion parameters (Gray-Scott model)
+        const D_U = 0.16;  // Diffusion rate for U
+        const D_V = 0.08;  // Diffusion rate for V
+        const feed = 0.055 + params.density * 0.02;  // Feed rate
+        const kill = 0.062 + params.complexity * 0.02; // Kill rate
+        const dt = 1.0;
+
+        // Grid setup
+        const gridSize = 4;
+        const cols = Math.floor(canvas.width / gridSize);
+        const rows = Math.floor(canvas.height / gridSize);
+        const totalCells = cols * rows;
+
+        // Create grids
+        let u = new Array(totalCells).fill(0);
+        let v = new Array(totalCells).fill(0);
+        let nextU = new Array(totalCells).fill(0);
+        let nextV = new Array(totalCells).fill(0);
+
+        // Initialize
+        function init() {
+            for (let i = 0; i < totalCells; i++) {
+                // Sparse random initialization
+                u[i] = 1.0;
+                v[i] = 0.0;
+                if (Math.random() > 0.9) {
+                    u[i] = 0.0;
+                    v[i] = 1.0;
+                }
+            }
+        }
+
+        // Gray-Scott reaction-diffusion step
+        function update() {
+            // Adjust feed/kill based on pulse
+            const pulseFactor = params.pulse.avg;
+            const adjustedFeed = feed * pulseFactor;
+            const adjustedKill = kill * pulseFactor;
+
+            for (let i = 0; i < cols; i++) {
+                for (let j = 0; j < rows; j++) {
+                    const idx = i + j * cols;
+
+                    // Get neighbors (toroidal boundary)
+                    const idxL = ((i - 1 + cols) % cols) + j * cols;
+                    const idxR = ((i + 1) % cols) + j * cols;
+                    const idxT = i + ((j - 1 + rows) % rows) * cols;
+                    const idxB = i + ((j + 1) % rows) * cols;
+
+                    // Compute Laplacian (5-point stencil)
+                    const lapU = u[idxL] + u[idxR] + u[idxT] + u[idxB] - 4 * u[idx];
+                    const lapV = v[idxL] + v[idxR] + v[idxT] + v[idxB] - 4 * v[idx];
+
+                    // Reaction terms
+                    const du = adjustedFeed * u[idx] * v[idx] * v[idx] - adjustedKill * u[idx] + D_U * lapU;
+                    const dv = -adjustedFeed * u[idx] * v[idx] * v[idx] + adjustedKill * u[idx] + D_V * lapV;
+
+                    // Update with clamping
+                    nextU[idx] = Math.max(0, Math.min(1, u[idx] + dt * du));
+                    nextV[idx] = Math.max(0, Math.min(1, v[idx] + dt * dv));
+                }
+            }
+
+            // Swap buffers
+            [u, nextU] = [nextU, u];
+            [v, nextV] = [nextV, v];
+        }
+
+        // Drawing
+        function draw() {
+            const imgData = ctx.createImageData(canvas.width, canvas.height);
+            const data = imgData.data;
+
+            for (let y = 0; y < canvas.height; y++) {
+                for (let x = 0; x < canvas.width; x++) {
+                    const i = Math.floor(x / gridSize);
+                    const j = Math.floor(y / gridSize);
+                    const idx = i + j * cols;
+
+                    // Get V value (reaction product) as intensity
+                    const intensity = v[idx] * 255;
+                    const pixelIdx = (y * canvas.width + x) * 4;
+
+                    // Monochrome with dryness
+                    const dryFactor = params.tone.dryness * 0.8 + 0.2;
+                    const val = Math.floor(intensity * dryFactor);
+
+                    data[pixelIdx] = val;     // R
+                    data[pixelIdx + 1] = val; // G
+                    data[pixelIdx + 2] = val; // B
+                    data[pixelIdx + 3] = 255; // A
+                }
+            }
+
+            ctx.putImageData(imgData, 0, 0);
+        }
+
+        // Animation loop
+        function animate() {
+            update();
+            draw();
+            requestAnimationFrame(animate);
+        }
+
+        // Start
+        init();
+        animate();
+    </script>
+</body>
+</html>