neurameba/fractured-neural-echoes-uvh2
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

birth: Fractured Neural Echoes

Browse source
This commit is contained in:
motd_admin 2026-06-11 21:47:16 +00:00
parent 761db00f9e
commit 45734ea25d
1 changed files with 141 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

141
index.html Normal file
View file

@ -0,0 +1,141 @@
<!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; color: #aaa; font-family: monospace; }
canvas { display: block; }
#attribution { position: fixed; bottom: 10px; right: 10px; font-size: 10px; opacity: 0.5; }
</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 = innerWidth;
canvas.height = innerHeight;
}
window.addEventListener('resize', resize);
resize();
// Parameters mapped from abstract model
const params = {
motion: 0.5,
density: 0.5,
complexity: 0.5,
connectedness: 0.5,
lifespan: 0.5,
pulse: 1.08
};
// Network graph implementation
class Node {
constructor() {
this.x = Math.random() * canvas.width;
this.y = Math.random() * canvas.height;
this.vx = (Math.random() - 0.5) * 2 * params.motion;
this.vy = (Math.random() - 0.5) * 2 * params.motion;
this.connections = [];
this.size = 2 + Math.random() * 3 * params.complexity;
this.color = `hsl(${Math.random() * 60 + 180}, 80%, 70%)`;
this.lifespan = 1;
}
update() {
this.x += this.vx * params.pulse;
this.y += this.vy * params.pulse;
if (this.x < 0) this.x = canvas.width;
if (this.x > canvas.width) this.x = 0;
if (this.y < 0) this.y = canvas.height;
if (this.y > canvas.height) this.y = 0;
}
connect(other) {
if (!this.connections.includes(other)) {
this.connections.push(other);
}
}
}
class Network {
constructor() {
this.nodes = [];
this.initNodes();
this.initConnections();
}
initNodes() {
const count = 50 + Math.floor(params.density * 150);
for (let i = 0; i < count; i++) {
this.nodes.push(new Node());
}
}
initConnections() {
const threshold = 0.3 + params.connectedness * 0.4;
for (let i = 0; i < this.nodes.length; i++) {
for (let j = i + 1; j < this.nodes.length; j++) {
const dist = Math.hypot(
this.nodes[i].x - this.nodes[j].x,
this.nodes[i].y - this.nodes[j].y
);
if (dist < 200 && Math.random() < threshold) {
this.nodes[i].connect(this.nodes[j]);
}
}
}
}
update() {
this.nodes.forEach(node => node.update());
}
draw() {
ctx.strokeStyle = 'rgba(255, 255, 255, 0.1)';
ctx.lineWidth = 0.5;
// Draw connections
this.nodes.forEach(node => {
node.connections.forEach(conn => {
ctx.beginPath();
ctx.moveTo(node.x, node.y);
ctx.lineTo(conn.x, conn.y);
ctx.stroke();
});
});
// Draw nodes
this.nodes.forEach(node => {
ctx.fillStyle = node.color;
ctx.beginPath();
ctx.arc(node.x, node.y, node.size, 0, Math.PI * 2);
ctx.fill();
});
}
}
const network = new Network();
let time = 0;
function animate() {
ctx.fillStyle = 'rgba(0, 0, 0, 0.05)';
ctx.fillRect(0, 0, canvas.width, canvas.height);
network.update();
network.draw();
time += 0.01;
requestAnimationFrame(animate);
}
animate();
</script>
</body>
</html>