Table 3.
Neuron, network, and simulation parameters.
| Neuron and network parameters | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Populations and external in-degree | ||||||||||
| Symbol | Value | Description | ||||||||
| X | L2/3E | L2/3I | L4E | L4I | L5E | L5I | L6E | L6I | Population name | |
| N X | 20, 683 | 5, 834 | 21, 915 | 5, 479 | 4, 850 | 1, 065 | 14, 395 | 2, 948 | Size | |
| K X, ext | 1, 600 | 1, 500 | 2, 100 | 1, 900 | 2, 000 | 1, 900 | 2, 900 | 2, 100 | External in-degree | |
| In-degrees in fixed in-degree models | ||||||||||
| K YX | from X | |||||||||
| L2/3E | L2/3I | L4E | L4I | L5E | L5I | L6E | L6I | |||
| L2/3E | 2,200 | 1,080 | 980 | 468 | 160 | 0 | 110 | 0 | ||
| L2/3I | 2,991 | 861 | 704 | 290 | 381 | 0 | 61 | 0 | ||
| L4E | 160 | 35 | 1,118 | 795 | 33 | 1 | 668 | 0 | ||
| to Y | L4I | 1,481 | 17 | 1,814 | 954 | 17 | 0 | 1,609 | 0 | |
| L5E | 2,189 | 375 | 1,136 | 32 | 421 | 497 | 297 | 0 | ||
| L5I | 1,166 | 160 | 571 | 13 | 301 | 405 | 125 | 0 | ||
| L6E | 326 | 39 | 468 | 92 | 286 | 22 | 582 | 753 | ||
| L6I | 767 | 6 | 75 | 3 | 137 | 9 | 980 | 460 | ||
| Total number of synapses in fixed total number models | ||||||||||
| S YX | from X | |||||||||
| L2/3E | L2/3I | L4E | L4I | L5E | L5I | L6E | L6I | |||
| L2/3E | 45,499,804 | 22,323,576 | 20,253,647 | 9,670,918 | 3,293,577 | 0 | 2,271,403 | 0 | ||
| L2/3I | 17,443,694 | 5,018,762 | 4,105,338 | 1,690,073 | 2,221,212 | 0 | 353,460 | 0 | ||
| L4E | 3,503,669 | 756,561 | 24,482,849 | 17,413,575 | 714,524 | 7,002 | 14,624,431 | 0 | ||
| to Y | L4I | 8,114,253 | 92,831 | 9,933,537 | 5,223,271 | 87,836 | 0 | 8,810,905 | 0 | |
| L5E | 10,613,575 | 1,817,058 | 5,507,804 | 151,900 | 2,040,738 | 2,407,889 | 1,438,969 | 0 | ||
| L5I | 1,241,436 | 169,424 | 607,666 | 12,851 | 319,601 | 430,443 | 132,414 | 0 | ||
| L6E | 4,681,225 | 556,108 | 6,727,569 | 1,320,233 | 4,112,224 | 305,028 | 837,2649 | 10,827,677 | ||
| L6I | 2,260,836 | 17,207 | 220,032 | 8,078 | 401,637 | 25,217 | 2,888,426 | 1,354,319 | ||
| Connection parameters and external input | ||||||||||
| Symbol | Value | Description | ||||||||
| 87.81 pA | Reference synaptic strength. All synapse weights are measured in units of . | |||||||||
| g YX | Relative synaptic strengths: | |||||||||
| 1 | X ∈ {L2/3E, L4E, L5E, L6E} | |||||||||
| −4 | X ∈ {L2/3I, L4I, L5I, L6I}, except for: | |||||||||
| 2 | (X, Y) = (L4E, L2/3E) | |||||||||
| Δw∞, YX | Standard deviation of weight distribution | |||||||||
| 1.5 ms | Mean excitatory delay | |||||||||
| 0.75 ms | Mean inhibitory delay | |||||||||
| ΔdX | Standard deviation of delay distribution | |||||||||
| νext | 8 s−1 | Rate of external input with Poisson interspike interval statistics | ||||||||
| w ext | Synaptic strength of external input | |||||||||
| LIF neuron model | ||||||||||
| Symbol | Value | Description | ||||||||
| C m | 250 pF | Membrane capacitance | ||||||||
| τm | 10 ms | Membrane time constant | ||||||||
| E L | −65 mV | Resistive leak reversal potential | ||||||||
| V θ | −50 mV | Spike detection threshold | ||||||||
| V reset | −65 mV | Spike reset potential | ||||||||
| τref | 2 ms | Absolute refractory period after spikes | ||||||||
| τs | 0.5 ms | Postsynaptic current time constant | ||||||||