Case Study

Optimizing Browser Rendering for Neural Simulations

Python · Flask · HTML5 Canvas · JS Front-end

Executive Summary

Built a browser-based neural simulator. Implemented a refractory period to prevent runaway firing and tuned rendering for smooth 60fps on mid-range devices.

The Problem

Naive recursion caused infinite firing loops and browser lock-ups
Unbounded rendering produced frame drops on modest hardware

Architecture & Approach

1
Introduced refractory cooldown per neuron after firing
2
Separated simulation tick from render loop (requestAnimationFrame)
3
Added export/import and simple APIs for persistence

Challenges & Trade-offs

Balancing visual fidelity vs performance on lower-spec devices

Keeping the code approachable for learners while avoiding pitfalls

Outcomes & Results

Smooth rendering on mid-range laptops; stable neuron firing behavior
Clearer demonstrations for lecture/demos; easier to reason about activity