Non-Invasive Neural Decoding Simulator v2.4 BCI-AI

Simulate real-time fMRI / EEG signal processing & semantic latent thought reconstruction

STREAM ACTIVE
Thought Presets:

🎛️ Sensor Parameters

7T fMRI provides sub-millimeter voxel mapping but ~1s BOLD hemodynamics delay.
Higher SNR reduces semantic confusion & token hallucinatory entropy.
Voxel edge length. Smaller yields sharper region segregation.
Frequency of neural latent snapshot updates.
Language model beam search constraint over raw neural logit mapping.

📡 Multi-Channel Neural Signal Stream

T + 02.4s
CH 1-4: Hemodynamic BOLD Signal (0.1 - 0.5 Hz)

🧠 Voxel Region Matrix

Cortical Regions & Signal Intensities

🌌 Semantic Latent Space

Vector Distance Projection

🔤 Decoded Semantic Output Stream

Cosine Similarity: 0.84
Fidelity Match:
84%

📊 Token Probability Distribution

Top candidate tokens evaluated by neural embedding projection + LLM prior context:

⚡ Modality Trade-off Metrics

Temporal Latency
1.2 s
Spatial Resolution
2.0 mm
Decoder Entropy
1.14 bit
Semantic Precision
84.0%
Active Brain Regions
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