Structured sensors
No decision yetTwo consecutive frames help the model infer movement. Both are actual grayscale inputs.
Select a sensor to locate its receiving neurons.
Brain activity
Loading anatomy…Population colours · brightness shows recorded activity strength.
No cell selected · click a cell to explore it
Display settings Logarithmic · 4×
Log scale reveals small signals · zero stays quiet · numeric values are unchanged.
Highlight populations None selected
Select one or more populations
More populations
No highlights selected · select one or more labels to focus the brain and grid.
Recording details
Loading anatomy…
Loading samples…Selected links: blue in · amber out · up to 64
Every simulated neuron
Population colours · contrast-adjusted activityExplore a brain cell
Each neuron is one cell in the simulated network. Choose a cell here, or click one in the brain or activity grid.
Choose a ranking to find cells with strong or changing signals.
Loading cells…
Select a cell
Current signal
Start playback to see its recorded activity.
Activity over time
No samples yetFull scale: −1 to +1.
Each step is a recorded sample. Zero is the model’s reference level. Small signals can look flat at full scale; zoom in to see their changes.
Cell details and exact values
Exact recorded signal: 0
The signal is a signed model value, not a spike count or a measure of how important this cell is. Its sign is separate from the cell’s assigned effect on connected cells.
Connections to other cells
Incoming connections bring signals from other cells; outgoing connections carry this cell’s signal to others. Select a cell in the table to explore it. The brain shows up to 64 of these links.
| Direction | Connected cell | Synapses | Model effect | Fixed weight |
|---|
Synapses are contact counts from the anatomy. Model effect is the assigned positive or negative influence; fixed weight is the selected model’s connection efficacy. The lines show connectivity, not observed signals travelling.