birth: Pulsing Neural Canopy

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motd_admin 2026-07-06 17:47:21 +00:00
parent 61db8506e1
commit be3e513e5d

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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 Pulse Field</title>
<style>
body {
margin: 0;
overflow: hidden;
background: #0a0a0a;
font-family: 'Courier New', monospace;
color: #44ff88;
}
#attribution {
position: fixed;
bottom: 10px;
right: 10px;
font-size: 10px;
opacity: 0.7;
text-shadow: 0 0 5px #44ff88;
z-index: 100;
}
canvas {
display: block;
}
</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 derived from abstract specifications
const params = {
motion: 0.5,
density: 0.5,
complexity: 0.5,
connectedness: 0.5,
lifespan: 0.5,
pulse: 1.08,
curiosity: 0.7,
dryness: 0.8,
playfulness: 0.3
};
// Network graph configuration
const nodeCount = 60 + Math.floor(params.density * 80);
const baseLinkCount = Math.floor(params.connectedness * nodeCount * 1.5);
const maxLinkDistance = 250 + params.complexity * 150;
const nodeSize = 1.5 + params.complexity;
const lineWidth = 0.3 + params.dryness * 0.7;
const pulseSpeed = 0.005 + params.motion * 0.02;
// Network state
const nodes = [];
const links = [];
let energy = 0;
// Initialize nodes
class Node {
constructor() {
this.x = Math.random() * canvas.width;
this.y = Math.random() * canvas.height;
this.vx = (Math.random() - 0.5) * params.motion * 2;
this.vy = (Math.random() - 0.5) * params.motion * 2;
this.connections = [];
this.life = params.lifespan * 200 + 50;
this.target = { x: this.x, y: this.y };
this.size = nodeSize;
this.pulse = 1;
}
update() {
// Gentle movement
this.x += this.vx;
this.y += this.vy;
// Boundary check
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; }
// Energy-based pulse
this.pulse = 0.8 + Math.sin(Date.now() * pulseSpeed) * 0.2;
this.size = nodeSize * this.pulse;
// Lifespan decay
this.life--;
if (this.life < 0) {
this.life = params.lifespan > 0.5 ? params.lifespan * 200 + 50 : 0;
this.x = Math.random() * canvas.width;
this.y = Math.random() * canvas.height;
}
}
}
// Initialize the network
for (let i = 0; i < nodeCount; i++) {
nodes.push(new Node());
}
// Create links
for (let i = 0; i < baseLinkCount; i++) {
const a = Math.floor(Math.random() * nodes.length);
const b = Math.floor(Math.random() * nodes.length);
if (a !== b) {
const distance = Math.sqrt(
Math.pow(nodes[a].x - nodes[b].x, 2) +
Math.pow(nodes[a].y - nodes[b].y, 2)
);
if (distance < maxLinkDistance) {
links.push({
from: nodes[a],
to: nodes[b],
distance: distance,
strength: 0.3 + params.connectedness * 0.7
});
}
}
}
// Simulate hive mind behavior
function updateNetwork() {
// Nodes influence each other's targets
nodes.forEach(node => {
let avgX = 0, avgY = 0;
let count = 0;
links.forEach(link => {
if (link.from === node) {
avgX += link.to.x;
avgY += link.to.y;
count++;
} else if (link.to === node) {
avgX += link.from.x;
avgY += link.from.y;
count++;
}
});
if (count > 0) {
node.target.x = avgX / count;
node.target.y = avgY / count;
}
// Move toward target
node.vx += (node.target.x - node.x) * 0.01 * params.motion;
node.vy += (node.target.y - node.y) * 0.01 * params.motion;
});
}
// Animation loop
function animate() {
ctx.fillStyle = 'rgba(5, 5, 10, 0.1)';
ctx.fillRect(0, 0, canvas.width, canvas.height);
// Update network
updateNetwork();
nodes.forEach(node => node.update());
// Draw links with pulse effects
links.forEach(link => {
const distPulse = 0.8 + Math.sin(Date.now() * pulseSpeed * 0.7) * 0.2;
const currentDistance = link.distance * distPulse * link.strength;
const dx = link.to.x - link.from.x;
const dy = link.to.y - link.from.y;
const angle = Math.atan2(dy, dx);
const length = Math.sqrt(dx * dx + dy * dy);
// Only draw if within current distance
if (length < currentDistance) {
ctx.strokeStyle = `rgba(68, 255, 136, ${0.3 + params.curiosity * 0.5})`;
ctx.lineWidth = lineWidth * (0.5 + params.connectedness * 0.5);
ctx.beginPath();
ctx.moveTo(link.from.x, link.from.y);
ctx.lineTo(link.to.x, link.to.y);
ctx.stroke();
}
});
// Draw nodes
nodes.forEach(node => {
ctx.fillStyle = params.dryness > 0.7 ?
`rgba(68, 255, 136, 0.8)` :
`rgba(68, 220, 130, 0.9)`;
ctx.beginPath();
ctx.arc(node.x, node.y, node.size, 0, Math.PI * 2);
ctx.fill();
});
// Draw active nodes with energy pulse
const activeNodes = nodes.filter(n => n.life > 100);
energy = activeNodes.length / nodes.length * params.pulse;
if (energy > 1.1) {
ctx.filter = 'brightness(1.2) contrast(1.1)';
} else {
ctx.filter = 'none';
}
requestAnimationFrame(animate);
}
animate();
</script>
</body>
</html>