Live Electroencephalogram (EEG) CH1: L / CH2: R
🎯 Click anywhere on the brain model to position the focal origin
Frontal Lobe
Parietal Lobe
Temporal Lobe
Occipital Lobe

Neural Seizure Simulator

Interactive biophysical brain model visualizer.

⚙️ Operational Parameters

📊 Real-Time Clinical Stats

Diagnostic Stage: Quiescent (Resting)
Simulated Duration: 0.0s
Calculated Active Synapses: 0
Spectral Intensity: 0%

📡 Audio, Mesh & Spatial Controls

Biophysical Auditory Output
Cortical Shell Outline
Continuous Camera Spin
1.0x
1.0x

State: Idle Baseline

Select any medical condition model above to initiate neural disruption tracking or tap "Play Guided Demo" to run sequentially.

⚠️ Clinical Interpretation Notice & Disclaimer

This brain visualizer application functions exclusively as an interactive, conceptual simulation utilizing simplified three-dimensional particle mathematics. It does not output medical diagnostic metrics, coordinate clinical determinations, or substitute for formal neurological diagnostic software.

True epileptic events involve exceptionally complex cellular transformations, spatial distributions across specific cortical sheets, and intricate ion-channel feedback patterns that cannot be mathematically modeled inside a local web canvas environment. For certified medical advice and neurological evaluations, please consult with an accredited physician or neurologist.

1. System Overview

The Neural Seizure Simulator represents an educational tool engineered to translate specific hyper-synchronous electrical discharge profiles into human-interpretable audio-visual patterns. Under normal physiological constraints, the brain maintains an orderly, localized distribution of signal traffic across neural circuits. During seizure states, these feedback barriers are disrupted, precipitating massive regional or global synchronization.

By visualising these disruptions as physical forces within three-dimensional space, the simulation demonstrates the crucial differences between localized focal incidents and major generalized network failures.

2. Operating Guidelines

  • Simulation Flow: Select an analytical seizure archetype from the dropdown panel, then click Start Sequence to initialize. The visualizer will cycle through three structured, chronologically accurate stages: Preictal (baseline leading to onset), Ictal (active discharge phase), and Postictal (recovery period).
  • Interactive Focus Placement: When Focal Seizure is selected, click anywhere on the 3D model to dynamically reposition the hyper-synchronous initiation point.
  • Anatomy Popovers: Tap on the floating anatomical labels (e.g. Frontal Lobe, Temporal Lobe) over the 3D canvas to display a descriptive clinical summary of that specific brain region's underlying functions.
  • Synthesis Audio Profiles: Customize sound design by switching between the Ambient Hum profile (low-frequency deep state tracking), Clinical Pulses (frequency-dependent clicks), and Rhythmic Sweeps.

3. Deep Technical Architecture

The visual framework employs a WebGL rendering context managed by Three.js. 3,000 unique particle coordinates are procedurally distributed to form a dual-hemisphere layout. To render structural boundaries, a semi-transparent Cortical Shell Mesh is positioned and scaled behind the particles.

Interactive focus selection utilizes Raycasting calculations. Clicking the viewport shoots a 3D ray intersecting the cortical shell meshes, calculating precise coordinate vectors to establish the focal seizure initiation point.

The live 2D EEG display uses HTML5 Canvas rendering. It computes synthetic differential channel pathways from the left and right hemispheres, outputting standard delta, theta, alpha, and high-frequency wave patterns mapped to the physical intensity profiles of the simulation.

4. Development Roadmap

Future iterations of this platform aim to incorporate physical cortical maps using direct patient fMRI/EEG dataset integration. This will allow the simulator to render accurate spatio-temporal traces reconstructed from clinically observed seizure propagation paths.

Additional features on the development pathway include multi-channel EEG montage selectors, physiological pharmacological treatment simulation overlays (visualizing target neural network stabilisation rates), and advanced machine learning modeling predicting local network transition zones.

🔗 BioniChaos Ecosystem Tools Reference

Explore contextually related simulations and physiological signal analytical tool suites developed by BioniChaos to expand your clinical modeling knowledge bases:

NeuroStream EEG Visualizer

An advanced real-time electroencephalogram channel simulator mapping multi-electrode arrays and spectral density outputs during normal sleep and active cognitive states.

EMGesture Dashboard

Interactive myoelectric hand muscle signal capture simulator analyzing simulated electromyography (EMG) output parameters for deep learning classifiers.

Chaos Bifurcation Map

Examine non-linear biological system equations displaying sudden chaotic state bifurcations, modeling identical dynamics found in unstable cortical networks.