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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>Dissolving Patterns</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background: #0a0a0a;
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            height: 100vh;
+            font-family: monospace;
+        }
+        canvas {
+            display: block;
+        }
+        #attribution {
+            position: absolute;
+            bottom: 20px;
+            color: rgba(255, 255, 255, 0.3);
+            font-size: 10px;
+            text-align: center;
+            width: 100%;
+        }
+    </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();
+
+        // Parameters
+        const params = {
+            motion: 0.5,
+            density: 0.5,
+            complexity: 0.5,
+            connectedness: 0.5,
+            lifespan: 0.5,
+            pulse: 1.06,
+            tone: { dryness: 0.9, curiosity: 0.1 }
+        };
+
+        // Reaction-diffusion system
+        const size = 100;
+        const grid = Array.from({length: size}, () =>
+            Array.from({length: size}, () => ({
+                a: 1,
+                b: 0,
+                energy: 0
+            }))
+        );
+
+        // Initialize with sparse noise
+        for (let i = 0; i < size * size * params.density; i++) {
+            const x = Math.floor(Math.random() * size);
+            const y = Math.floor(Math.random() * size);
+            grid[y][x].b = 1;
+        }
+
+        // Gray-Williams reaction
+        const Da = 1;
+        const Db = 0.5;
+        const f = 0.055;
+        const k = 0.062;
+
+        function updateGrid() {
+            const newGrid = Array.from({length: size}, () => Array(size).fill().map(() => ({a: 0, b: 0})));
+            const kernel = [
+                [0.05, 0.2, 0.05],
+                [0.2, -1, 0.2],
+                [0.05, 0.2, 0.05]
+            ];
+
+            for (let y = 1; y < size - 1; y++) {
+                for (let x = 1; x < size - 1; x++) {
+                    // Diffusion
+                    let a = grid[y][x].a;
+                    let b = grid[y][x].b;
+
+                    for (let ky = -1; ky <= 1; ky++) {
+                        for (let kx = -1; kx <= 1; kx++) {
+                            const factor = kernel[ky + 1][kx + 1];
+                            a += grid[y + ky][x + kx].a * factor;
+                            b += grid[y + ky][x + kx].b * factor;
+                        }
+                    }
+
+                    // Reaction
+                    const reaction = a * b * b;
+                    a -= reaction;
+                    b += reaction;
+
+                    // Slow decay
+                    a += params.f * (1 - a);
+                    b -= params.k * b;
+
+                    newGrid[y][x].a = a;
+                    newGrid[y][x].b = b;
+                }
+            }
+
+            return newGrid;
+        }
+
+        // Drawing with motion blur
+        let history = [];
+        const maxHistory = 20;
+
+        function draw() {
+            ctx.fillStyle = 'rgba(0, 0, 0, 0.1)';
+            ctx.fillRect(0, 0, canvas.width, canvas.height);
+
+            const newGrid = updateGrid();
+
+            // Store current state in history
+            history.unshift(newGrid);
+            if (history.length > maxHistory) history.pop();
+
+            // Draw with motion blur
+            for (let i = 0; i < history.length; i++) {
+                const alpha = 0.7 * Math.pow(0.9, i);
+                const step = Math.floor(canvas.width / size);
+
+                for (let y = 0; y < size; y++) {
+                    for (let x = 0; x < size; x++) {
+                        const val = history[i][y][x].b;
+                        if (val > 0.1) {
+                            const hue = 180 + (val * 100);
+                            ctx.fillStyle = `hsla(${hue}, 80%, 50%, ${alpha * val})`;
+                            ctx.fillRect(x * step, y * step, step, step);
+                        }
+                    }
+                }
+            }
+
+            grid.length = 0;
+            grid.push(...newGrid.map(row => [...row]));
+
+            requestAnimationFrame(draw);
+        }
+
+        draw();
+    </script>
+</body>
+</html>
+```
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