BDH NEURAL ENGINE v2.0

Configure Simulation

Place start and end markers on the 16x16 grid. BDH computes the optimal path using sparse Hebbian activations and dual-stream memory with O(T) inference.

Coordinates

Start not set

End not set

Model Configuration

LAYERS

WIDTH

256

HEADS

GRID

16x16

Neuron budget:

Visualization Features

◆ Force-directed neural graph

◆ Sparse activation heatmap

◆ Hebbian weight dynamics

◆ 3D neural walkthrough

◆ Attention atlas

◆ Concept probe analysis

◆ O(T) vs O(T^2) scaling

◆ Live telemetry + histogram

View existing visualization

BDH

Computing Neural Trajectory

Loading pre-computed visualization...

Encoding grid topology

Initializing Hebbian weights

Running RECALL to EFFECT cycles

Extracting path and activations