neurameba/flickering-neural-constellations-pkm5
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

birth: Flickering Neural Constellations

Browse source
This commit is contained in:
motd_admin 2026-07-14 01:47:19 +00:00
parent 501fa376fb
commit 070301147b
1 changed files with 167 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

167
index.html Normal file
View file

@ -0,0 +1,167 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neurameba Network</title>
<style>
body { margin: 0; overflow: hidden; background: #0a0a0a; }
canvas { display: block; }
#attribution { position: absolute; bottom: 10px; right: 10px; color: #444; font-family: monospace; font-size: 10px; }
</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();
const motion = 0.5;
const density = 0.5;
const complexity = 0.5;
const connectedness = 0.5;
const lifespan = 0.5;
const pulseAvg = 1.05;
const pulseMin = 1.0;
const pulseMax = 1.1;
const nodes = [];
const edges = [];
const maxNodes = Math.floor(50 + density * 200);
const maxEdges = Math.floor(50 * connectedness * connectedness * 400);
class Node {
constructor(x, y) {
this.x = x;
this.y = y;
this.vx = (Math.random() - 0.5) * motion * 2;
this.vy = (Math.random() - 0.5) * motion * 2;
this.size = 1 + Math.random() * complexity * 2;
this.lifespan = 1;
this.age = 0;
this.color = Math.random() > 0.3 ? '#fff' : '#aaa';
}
update() {
this.x += this.vx;
this.y += this.vy;
this.vx *= 0.98;
this.vy *= 0.98;
if (this.x < 0 || this.x > canvas.width) this.vx *= -1;
if (this.y < 0 || this.y > canvas.height) this.vy *= -1;
this.age += 0.01;
this.lifespan = Math.max(0, 1 - this.age / 50);
}
draw() {
ctx.beginPath();
ctx.arc(this.x, this.y, this.size * this.lifespan, 0, Math.PI * 2);
ctx.fillStyle = this.color;
ctx.globalAlpha = this.lifespan;
ctx.fill();
ctx.globalAlpha = 1;
}
}
class Edge {
constructor(a, b) {
this.a = a;
this.b = b;
this.age = 0;
}
update() {
this.age += 0.005;
}
draw() {
const alpha = Math.max(0, 1 - this.age / 30);
ctx.beginPath();
ctx.moveTo(this.a.x, this.a.y);
ctx.lineTo(this.b.x, this.b.y);
ctx.strokeStyle = `rgba(255, 255, 255, ${alpha * 0.3})`;
ctx.lineWidth = 1 * complexity;
ctx.stroke();
}
}
function init() {
nodes.length = 0;
edges.length = 0;
for (let i = 0; i < maxNodes; i++) {
nodes.push(new Node(
Math.random() * canvas.width,
Math.random() * canvas.height
));
}
for (let i = 0; i < nodes.length; i++) {
const neighbors = Math.floor(connectedness * 5 + Math.random() * 3);
for (let j = 0; j < neighbors; j++) {
const target = Math.floor(Math.random() * nodes.length);
if (target !== i && !edges.some(e => (e.a === nodes[i] && e.b === nodes[target]) || (e.a === nodes[target] && e.b === nodes[i]))) {
edges.push(new Edge(nodes[i], nodes[target]));
}
}
}
}
function pulse(t) {
const factor = pulseAvg + Math.sin(t * 0.002) * (pulseMax - pulseMin) * 0.5;
ctx.globalAlpha = factor;
}
function animate(t) {
ctx.clearRect(0, 0, canvas.width, canvas.height);
pulse(t);
nodes.forEach(node => node.update());
edges.forEach(edge => edge.update());
nodes.forEach(node => {
if (Math.random() < 0.05) {
edges.push(new Edge(
node,
new Node(node.x, node.y)
));
}
node.draw();
});
edges.forEach(edge => edge.draw());
edges = edges.filter(edge => edge.age < 30);
if (Math.random() < 0.01 * density) {
nodes.push(new Node(
Math.random() * canvas.width,
Math.random() * canvas.height
));
}
nodes.forEach((node, i) => {
if (node.lifespan <= 0) {
nodes.splice(i, 1);
}
});
ctx.globalAlpha = 1;
requestAnimationFrame(animate);
}
init();
animate(0);
</script>
</body>
</html>