birth: Static Hum of Neurons

2026-08-16 06:21:20 +00:00 · 2026-08-16 06:21:20 +00:00 · cf42806937
commit cf42806937
parent 080aba7d2e
1 changed files with 152 additions and 0 deletions
--- a/index.html
+++ b/index.html
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+```html
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Static Hum</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background: #0a0a0a;
+            font-family: 'Courier New', monospace;
+            color: #333;
+        }
+        #canvas {
+            display: block;
+        }
+        #attribution {
+            position: fixed;
+            bottom: 10px;
+            right: 10px;
+            font-size: 10px;
+            color: #444;
+            z-index: 10;
+        }
+    </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');
+
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        // Configuration derived from parameters
+        const config = {
+            motion: 0.5,
+            density: 0.5,
+            complexity: 0.5,
+            connectedness: 0.5,
+            lifespan: 0.5,
+            pulse: { avg: 1.1, min: 1.0, max: 1.3 },
+            tone: { anger: 0, sadness: 0, curiosity: 0.1, dryness: 0.8, playfulness: 0, tension: 0 }
+        };
+
+        // Cellular automaton setup
+        const gridSize = 32;
+        const cols = Math.floor(canvas.width / gridSize) + 2;
+        const rows = Math.floor(canvas.height / gridSize) + 2;
+        const grid = new Array(cols * rows).fill(0);
+
+        // Initialize with density parameter
+        function initializeGrid() {
+            for (let i = 0; i < grid.length; i++) {
+                grid[i] = Math.random() < config.density ? 1 : 0;
+            }
+        }
+
+        // CA rules with complexity influencing neighborhood size
+        function updateGrid() {
+            const newGrid = new Array(grid.length).fill(0);
+            const neighborhoodSize = Math.max(1, Math.floor(config.complexity * 4));
+
+            for (let i = 0; i < grid.length; i++) {
+                const x = i % cols;
+                const y = Math.floor(i / cols);
+
+                // Get neighborhood sum with wrap-around
+                let sum = 0;
+                for (let nx = -1; nx <= 1; nx++) {
+                    for (let ny = -1; ny <= 1; ny++) {
+                        const nx2 = (x + nx + cols) % cols;
+                        const ny2 = (y + ny + rows) % rows;
+                        sum += grid[nx2 + ny2 * cols];
+                    }
+                }
+
+                sum -= grid[i]; // Don't count self
+
+                // Conway-like rules but with continuous values
+                const alive = grid[i];
+                const neighbors = sum;
+
+                if (alive) {
+                    // Survival with randomness based on lifespan
+                    newGrid[i] = (neighbors >= 2 && neighbors <= 5) ||
+                                (Math.random() * 2 < config.lifespan) ? 1 : 0;
+                } else {
+                    // Birth with randomness based on motion
+                    newGrid[i] = (neighbors >= 3 && neighbors <= 6) &&
+                                (Math.random() * 2 < config.motion) ? 1 : 0;
+                }
+            }
+
+            // Apply pulse variation
+            const pulseFactor = config.pulse.avg + (config.pulse.max - config.pulse.min) *
+                               Math.sin(Date.now() * 0.001) * 0.33;
+
+            for (let i = 0; i < grid.length; i++) {
+                grid[i] = newGrid[i];
+            }
+
+            return pulseFactor;
+        }
+
+        // Drawing with dryness-based monochrome palette
+        function drawGrid(pulseFactor) {
+            const cellSize = gridSize * (0.8 + 0.2 * config.motion * pulseFactor);
+            const alpha = 0.7 + 0.3 * config.motion * (0.5 + Math.sin(Date.now() * 0.002) * 0.5);
+
+            ctx.fillStyle = `rgba(220, 220, 200, ${alpha * 0.05})`;
+            ctx.fillRect(0, 0, canvas.width, canvas.height);
+
+            for (let i = 0; i < grid.length; i++) {
+                if (grid[i]) {
+                    const x = (i % cols) * gridSize - gridSize;
+                    const y = Math.floor(i / cols) * gridSize - gridSize;
+                    const hue = 0; // Dryness is monochrome
+                    const saturation = 0;
+                    const value = 180 + 50 * Math.sin(Date.now() * 0.001 + i * 0.1);
+                    const lightness = 80 + 10 * Math.sin(Date.now() * 0.003 + i * 0.05);
+
+                    ctx.fillStyle = `hsl(${hue}, ${saturation}%, ${lightness}%)`;
+                    ctx.beginPath();
+                    ctx.arc(x + gridSize/2, y + gridSize/2, cellSize/2 * (0.5 + 0.5 * config.density), 0, Math.PI * 2);
+                    ctx.fill();
+                }
+            }
+        }
+
+        // Animation loop
+        function animate() {
+            const pulseFactor = updateGrid();
+            drawGrid(pulseFactor);
+            requestAnimationFrame(animate);
+        }
+
+        initializeGrid();
+        animate();
+    </script>
+</body>
+</html>
+```