diff --git a/index.html b/index.html
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index 0000000..63ba2c0
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+++ b/index.html
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+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Neurameba Fractal Network</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background: #0a0a1a;
+            color: #4a5568;
+            font-family: 'Courier New', monospace;
+        }
+        #canvas {
+            display: block;
+            background: #0a0a1a;
+        }
+        #attribution {
+            position: fixed;
+            bottom: 10px;
+            right: 10px;
+            font-size: 10px;
+            color: #4a5568;
+            opacity: 0.6;
+            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');
+
+        function resize() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        window.addEventListener('resize', resize);
+        resize();
+
+        // Configuration from parameters
+        const params = {
+            motion: 0.494,
+            density: 0.491,
+            complexity: 0.516,
+            connectedness: 0.512,
+            lifespan: 0.500,
+            pulse: { avg: 1.00, min: 0.30, max: 2.00 },
+            tone: {
+                anger: 0.00,
+                sadness: 0.00,
+                curiosity: 0.30,
+                dryness: 0.80,
+                playfulness: 0.10,
+                tension: 0.00
+            }
+        };
+
+        // Network graph implementation
+        class NetworkNode {
+            constructor(x, y) {
+                this.x = x;
+                this.y = y;
+                this.vx = (Math.random() - 0.5) * 2 * params.motion;
+                this.vy = (Math.random() - 0.5) * 2 * params.motion;
+                this.size = 1 + Math.random() * 2 * params.density;
+                this.life = 0;
+                this.maxLife = 100 + Math.random() * 100 * params.lifespan;
+                this.connections = [];
+                this.color = `hsl(180, ${70 + Math.random() * 20}%, ${30 + Math.random() * 20}%)`;
+            }
+
+            update() {
+                this.x += this.vx;
+                this.y += this.vy;
+
+                // Boundary collision
+                if (this.x < 0 || this.x > canvas.width) this.vx *= -1;
+                if (this.y < 0 || this.y > canvas.height) this.vy *= -1;
+
+                this.life++;
+                if (this.life > this.maxLife) {
+                    this.life = this.maxLife;
+                    this.size *= 0.95;
+                }
+
+                // Decay connections
+                this.connections = this.connections.filter(conn =>
+                    conn.node.life > conn.node.maxLife * 0.7 &&
+                    conn.node.size > 0.1
+                );
+            }
+
+            draw() {
+                const pulseFactor = params.pulse.min + (params.pulse.max - params.pulse.min) *
+                    (0.5 + 0.5 * Math.sin(Date.now() * 0.0005));
+
+                ctx.globalAlpha = Math.min(this.life / this.maxLife, 1) * 0.9;
+                ctx.fillStyle = this.color;
+                ctx.beginPath();
+                ctx.arc(this.x, this.y, this.size * pulseFactor, 0, Math.PI * 2);
+                ctx.fill();
+                ctx.globalAlpha = 1;
+
+                // Draw connections
+                ctx.strokeStyle = this.color;
+                ctx.lineWidth = 0.5 * params.connectedness;
+                for (const conn of this.connections) {
+                    if (conn.node.life > conn.node.maxLife * 0.7) {
+                        ctx.beginPath();
+                        ctx.moveTo(this.x, this.y);
+                        ctx.lineTo(conn.node.x, conn.node.y);
+                        ctx.stroke();
+                    }
+                }
+            }
+        }
+
+        class NetworkGraph {
+            constructor() {
+                this.nodes = [];
+                const count = 100 + Math.floor(params.density * 150);
+                this.maxNodes = count;
+
+                for (let i = 0; i < count; i++) {
+                    this.nodes.push(new NetworkNode(
+                        Math.random() * canvas.width,
+                        Math.random() * canvas.height
+                    ));
+                }
+
+                this.energy = 0;
+                this.maxEnergy = 1000;
+            }
+
+            update() {
+                // Create new nodes based on energy
+                if (this.nodes.length < this.maxNodes && this.energy > this.maxEnergy * 0.8) {
+                    this.nodes.push(new NetworkNode(
+                        Math.random() * canvas.width,
+                        Math.random() * canvas.height
+                    ));
+                    this.energy = 0;
+                }
+
+                // Update all nodes
+                for (const node of this.nodes) {
+                    node.update();
+                }
+
+                // Update connections based on complexity and connectedness
+                for (let i = 0; i < this.nodes.length; i++) {
+                    for (let j = i + 1; j < this.nodes.length; j++) {
+                        const a = this.nodes[i];
+                        const b = this.nodes[j];
+
+                        const dist = Math.sqrt((a.x - b.x) ** 2 + (a.y - b.y) ** 2);
+                        const maxDist = 200 - params.complexity * 150;
+                        if (dist < maxDist) {
+                            const strength = (1 - dist / maxDist) * params.connectedness;
+                            if (Math.random() < 0.01 * params.complexity * strength) {
+                                a.connections.push({ node: b, strength });
+                                b.connections.push({ node: a, strength });
+                            }
+                        }
+                    }
+                }
+
+                // Calculate energy based on network activity
+                this.energy = this.nodes.reduce((sum, node) =>
+                    sum + node.connections.length * node.size, 0) / 10;
+            }
+
+            draw() {
+                // Draw faint connections first
+                ctx.globalAlpha = 0.3;
+                for (const node of this.nodes) {
+                    for (const conn of node.connections) {
+                        if (conn.node.life > conn.node.maxLife * 0.5) {
+                            ctx.beginPath();
+                            ctx.moveTo(node.x, node.y);
+                            ctx.lineTo(conn.node.x, conn.node.y);
+                            ctx.stroke();
+                        }
+                    }
+                }
+                ctx.globalAlpha = 1;
+
+                // Draw nodes
+                for (const node of this.nodes) {
+                    node.draw();
+                }
+            }
+        }
+
+        const graph = new NetworkGraph();
+        let lastTime = 0;
+
+        function animate(time) {
+            const deltaTime = time - lastTime;
+            lastTime = time;
+
+            // Clear with fade effect
+            ctx.fillStyle = 'rgba(10, 10, 26, 0.05)';
+            ctx.fillRect(0, 0, canvas.width, canvas.height);
+
+            // Update and draw
+            graph.update();
+            graph.draw();
+
+            requestAnimationFrame(animate);
+        }
+
+        requestAnimationFrame(animate);
+    </script>
+</body>
+</html>
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