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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>Reaction-Diffusion Canvas</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;
+            color: #555;
+            font-size: 12px;
+            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');
+
+        // Set canvas to full window size
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        resizeCanvas();
+        window.addEventListener('resize', resizeCanvas);
+
+        // Reaction-diffusion parameters (Gray-Scott model)
+        const params = {
+            feed: 0.052,
+            kill: 0.060,
+            diffusionA: 1.0,
+            diffusionB: 0.5,
+            timeStep: 1.0,
+            gridSize: 4,
+            decay: 0.99,
+            complexity: 0.54,
+            connectedness: 0.53,
+            motion: 0.52,
+            pulse: 0.49,
+            energy: 487.6
+        };
+
+        // Initialize grids
+        const grid = [];
+        const nextGrid = [];
+        const sizeX = Math.floor(canvas.width / params.gridSize);
+        const sizeY = Math.floor(canvas.height / params.gridSize);
+
+        // Fill with initial noise
+        function initGrids() {
+            for (let i = 0; i < sizeX; i++) {
+                grid[i] = new Array(sizeY);
+                nextGrid[i] = new Array(sizeY);
+                for (let j = 0; j < sizeY; j++) {
+                    // Start with sparse, motion-sensitive patterns
+                    const base = (Math.random() * params.motion < 0.3) ? 0.1 : 0;
+                    grid[i][j] = base + (Math.random() * params.connectedness * 0.2);
+                    nextGrid[i][j] = 0;
+                }
+            }
+        }
+        initGrids();
+
+        // Reaction-diffusion step
+        function update() {
+            for (let x = 1; x < sizeX - 1; x++) {
+                for (let y = 1; y < sizeY - 1; y++) {
+                    const a = grid[x][y];
+                    const b = nextGrid[x][y];
+
+                    // Laplacian diffusion
+                    const laplacianA = (grid[x-1][y] + grid[x+1][y] + grid[x][y-1] + grid[x][y+1] - 4 * a) * params.diffusionA;
+                    const laplacianB = (nextGrid[x-1][y] + nextGrid[x+1][y] + nextGrid[x][y-1] + nextGrid[x][y+1] - 4 * b) * params.diffusionB;
+
+                    // Gray-Scott reaction
+                    const reaction = a * b * b;
+                    const newA = a + (params.diffusionA * laplacianA) - reaction + params.feed * (1 - a);
+                    const newB = b + (params.diffusionB * laplacianB) + reaction - (params.kill + params.feed) * b;
+
+                    // Apply decay based on lifespan
+                    nextGrid[x][y] = Math.max(0, Math.min(1,
+                        newB * params.decay
+                    ));
+
+                    // Add pulse variations
+                    if (Math.random() < params.pulse) {
+                        nextGrid[x][y] = Math.min(1, nextGrid[x][y] + 0.2 * params.motion);
+                    }
+                }
+            }
+
+            // Swap grids and apply complexity variations
+            for (let x = 0; x < sizeX; x++) {
+                for (let y = 0; y < sizeY; y++) {
+                    grid[x][y] = nextGrid[x][y];
+                    // More intricate patterns in high complexity areas
+                    if (Math.random() < params.complexity * 0.01) {
+                        nextGrid[x][y] = grid[x][y] + (Math.random() - 0.5) * 0.3;
+                    }
+                }
+            }
+        }
+
+        // Drawing with dryness/monochrome palette
+        function draw() {
+            ctx.fillStyle = 'rgba(0, 0, 0, 0.05)';
+            ctx.fillRect(0, 0, canvas.width, canvas.height);
+
+            const imageData = ctx.createImageData(sizeX, sizeY);
+            const data = imageData.data;
+
+            for (let y = 0; y < sizeY; y++) {
+                for (let x = 0; x < sizeX; x++) {
+                    const val = grid[x][y];
+                    const idx = (y * sizeX + x) * 4;
+
+                    // Dry monochrome palette (high contrast)
+                    const intensity = Math.floor(255 * val);
+                    data[idx] = intensity;
+                    data[idx + 1] = intensity;
+                    data[idx + 2] = intensity;
+                    data[idx + 3] = 255;
+                }
+            }
+
+            ctx.putImageData(imageData, 0, 0);
+            ctx.imageSmoothingEnabled = false;
+        }
+
+        // Main animation loop
+        function animate() {
+            update();
+            draw();
+            requestAnimationFrame(animate);
+        }
+        animate();
+    </script>
+</body>
+</html>
+```
\ No newline at end of file
