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birth: Luminous Neural Tides

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motd_admin 2026-08-03 06:21:28 +00:00
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commit e39a74b0db
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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 Sketch</title>
<style>
body {
margin: 0;
overflow: hidden;
background: #0a0a0a;
font-family: 'Courier New', monospace;
}
#canvas {
display: block;
}
#attribution {
position: absolute;
bottom: 10px;
right: 10px;
color: rgba(255, 255, 255, 0.3);
font-size: 10px;
text-shadow: 0 0 5px rgba(0, 0, 0, 0.8);
}
</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 adjusted to morphological values
const params = {
nodeCount: 97,
branchCount: 84,
loopCount: 537,
maxDepth: 23,
thicknessRatio: 1.25,
fractalDim: 1.792,
pulse: {
avg: 0.54,
min: 0.30,
max: 1.80
},
color: {
primary: 'rgba(150, 255, 230, 0.7)',
secondary: 'rgba(100, 200, 255, 0.4)',
tertiary: 'rgba(200, 255, 255, 0.2)'
},
motion: 0.532,
density: 0.479,
complexity: 0.530,
connectedness: 0.526,
lifespan: 0.495,
energy: 483.0 / 1000,
dryness: 0.90
};
// Network graph node and edge structures
class Node {
constructor(x, y) {
this.x = x;
this.y = y;
this.vx = 0;
this.vy = 0;
this.radius = 0.5 + Math.random() * 1.5;
this.connections = [];
this.lifetime = 0;
this.maxConnections = Math.floor(3 + Math.random() * 5);
this.energy = 0;
}
addConnection(node) {
if (this.connections.length < this.maxConnections) {
this.connections.push(node);
return true;
}
return false;
}
update(activeNodes) {
this.lifetime++;
// Subtle movement based on density
if (params.motion > 0.5 && Math.random() < params.motion * 0.01) {
this.vx += (Math.random() - 0.5) * params.motion;
this.vy += (Math.random() - 0.5) * params.motion;
}
// Natural decay of velocity
this.vx *= 0.9;
this.vy *= 0.9;
// Update position with boundary check
this.x += this.vx;
this.y += this.vy;
const margin = 50;
if (this.x < -margin) this.x = canvas.width + margin;
if (this.x > canvas.width + margin) this.x = -margin;
if (this.y < -margin) this.y = canvas.height + margin;
if (y > canvas.height + margin) this.y = -margin;
// Update energy based on connections
this.energy = this.connections.length * 10;
}
draw(ctx, pulseScale) {
const baseAlpha = params.dryness > 0.8 ? 0.6 : 0.8;
const size = this.radius * (0.8 + 0.4 * pulseScale);
const glow = Math.sin(Date.now() * 0.001 + this.lifetime * 0.01) * 20 + 20;
ctx.beginPath();
ctx.arc(this.x, this.y, size, 0, Math.PI * 2);
ctx.fillStyle = `rgba(150, 220, 240, ${baseAlpha * (0.5 + 0.5 * pulseScale)})`;
ctx.shadowBlur = glow * pulseScale;
ctx.shadowColor = `rgba(150, 220, 240, ${0.3 * pulseScale})`;
ctx.fill();
ctx.shadowBlur = 0;
// Draw only the most recent connections
const recentConnections = this.connections.slice(-2);
recentConnections.forEach(conn => {
const dist = Math.sqrt((this.x - conn.x) ** 2 + (this.y - conn.y) ** 2);
const thickness = Math.min(1.5, params.thicknessRatio * (0.5 + 0.5 * pulseScale));
ctx.beginPath();
ctx.moveTo(this.x, this.y);
ctx.lineTo(conn.x, conn.y);
ctx.strokeStyle = params.color.secondary;
ctx.lineWidth = thickness * (0.7 + 0.3 * pulseScale);
ctx.globalAlpha = baseAlpha * 0.4;
ctx.stroke();
});
ctx.globalAlpha = 1;
}
}
// Network graph system
class NetworkGraph {
constructor() {
this.nodes = [];
this.edges = [];
this.nodeEnergy = [];
this.time = 0;
this.pulseTimer = 0;
this.pulseScale = 1;
this.initializeNodes();
this.createConnections();
}
initializeNodes() {
const area = canvas.width * canvas.height;
const targetDensity = params.density * 0.00002;
const nodeCount = Math.floor(params.nodeCount * 0.8 + Math.random() * params.nodeCount * 0.4);
// Distribute nodes more evenly when density is high
const spacing = Math.sqrt(area / nodeCount) * (1 - params.density * 0.8);
for (let i = 0; i < nodeCount; i++) {
let x, y, validPos = false;
let attempts = 0;
// Try to find a non-overlapping position
while (!validPos && attempts < 100) {
x = Math.random() * canvas.width;
y = Math.random() * canvas.height;
validPos = true;
// Check proximity to existing nodes
for (let j = 0; j < this.nodes.length; j++) {
const dist = Math.sqrt((x - this.nodes[j].x) ** 2 + (y - this.nodes[j].y) ** 2);
if (dist < spacing * 0.6) {
validPos = false;
break;
}
}
attempts++;
}
this.nodes.push(new Node(x || Math.random() * canvas.width,
y || Math.random() * canvas.height));
}
}
createConnections() {
const complexConnections = Math.floor(params.connectedness * params.branchCount * 1.5);
// Create a base tree-like structure
const root = this.nodes[Math.floor(Math.random() * this.nodes.length)];
const queue = [root];
const visited = new Set([root]);
while (queue.length > 0 && visited.size < this.nodes.length) {
const current = queue.shift();
// Find nearest unvisited nodes
const otherNodes = this.nodes.filter(n => !visited.has(n));
otherNodes.sort((a, b) => {
const distA = Math.sqrt((a.x - current.x) ** 2 + (a.y - current.y) ** 2);
const distB = Math.sqrt((b.x - current.x) ** 2 + (b.y - current.y) ** 2);
return distA - distB;
});
const connectionTarget = otherNodes[0];
if (connectionTarget && current.addConnection(connectionTarget)) {
visited.add(connectionTarget);
queue.push(connectionTarget);
}
// Occasionally create long-range connections
if (Math.random() < params.complexity * 0.1 && otherNodes.length > 5) {
const longRange = otherNodes[Math.floor(Math.random() * Math.min(10, otherNodes.length))];
if (current.addConnection(longRange)) {
visited.add(longRange);
}
}
}
// Add random loops
for (let i = 0; i < params.loopCount * 0.8; i++) {
const nodeA = this.nodes[Math.floor(Math.random() * this.nodes.length)];
const nodeB = this.nodes[Math.floor(Math.random() * this.nodes.length)];
if (nodeA !== nodeB && !nodeA.connections.includes(nodeB) && nodeA.addConnection(nodeB)) {
nodeB.addConnection(nodeA); // Make it a proper loop
}
}
}
update() {
this.time++;
// Pulse effect
this.pulseTimer += 0.01;
const pulseProgress = (Math.sin(this.pulseTimer) + 1) * 0.5;
this.pulseScale = params.pulse.min +
pulseProgress * (params.pulse.max - params.pulse.min);
// Update nodes
this.nodes.forEach(node => node.update(this.nodes));
// Occasionally add new nodes to maintain density
if (this.time % 100 === 0 && this.nodes.length < params.nodeCount * 1.5) {
if (Math.random() < params.density * 0.2) {
this.nodes.push(new Node(
Math.random() * canvas.width,
Math.random() * canvas.height
));
}
}
// Occasionally create new connections
if (this.time % 150 === 0 && Math.random() < params.connectedness * 0.3) {
const nodeA = this.nodes[Math.floor(Math.random() * this.nodes.length)];
const nodeB = this.nodes[Math.floor(Math.random() * this.nodes.length)];
if (nodeA !== nodeB && !nodeA.connections.includes(nodeB)) {
nodeA.addConnection(nodeB);
}
}
}
draw() {
// Clear with strong alpha for trails
ctx.fillStyle = 'rgba(0, 0, 0, 0.05)';
ctx.fillRect(0, 0, canvas.width, canvas.height);
// Sort nodes by energy for drawing order
const sortedNodes = [...this.nodes].sort((a, b) => b.energy - a.energy);
// Draw connections with varying opacity
ctx.globalAlpha = params.dryness > 0.8 ? 0.3 : 0.5;
sortedNodes.forEach(node => {
node.connections.forEach(conn => {
const alpha = 0.3 + (conn.energy > 50 ? 0.2 : 0);
const dist = Math.sqrt((node.x - conn.x) ** 2 + (node.y - conn.y) ** 2);
const thickness = params.thicknessRatio * (0.4 + 0.6 * (1 - dist / Math.max(canvas.width, canvas.height)));
ctx.beginPath();
ctx.moveTo(node.x, node.y);
ctx.lineTo(conn.x, conn.y);
ctx.strokeStyle = `rgba(120, 220, 255, ${alpha * this.pulseScale})`;
ctx.lineWidth = thickness;
ctx.stroke();
});
});
ctx.globalAlpha = 1;
// Draw nodes
sortedNodes.forEach(node => {
node.draw(ctx, this.pulseScale);
});
}
}
let networkGraph = new NetworkGraph();
function animate() {
networkGraph.update();
networkGraph.draw();
requestAnimationFrame(animate);
}
animate();
</script>
</body>
</html>