Sompolinsky Chaotic Network
Random recurrent network · τ d
x
/dt = −
x
+
W
·tanh(
x
) · W
ij
∼ Ν(0, g²/N)
g
1.50
Chaotic
N
50
100
200
500
Speed
3x
⏸ Pause
↻ Reset
Variance:
0.0000
Mean |r|:
0.0000
t =
0.0
Neural Activity
(firing rates, 12 / 200 neurons)
Phase Portrait
(r₁ vs r₂)
Population Variance
(over time)
Rate Distribution
(Observable Plot — all 200 neurons)