Table 2 Summary of information on the monkey visual cortex dataset and the resulting network from JGC analysis on edges for self-connections.
From: Jacobian Granger causality for count and binary data with applications to causal network inference
ID | Neurons | Stimulus | Edges (% Sparsity) | (+,-) | Shared | % Edges Shared | |||
|---|---|---|---|---|---|---|---|---|---|
Expt1 | Expt2 | Expt1 | Expt2 | Edges | Expt1 | Expt2 | |||
Monkey 1 | 74 | Noise | 12 (16.22%) | 20 (27.03%) | 11, 1 | 20, 0 | 3 | 25.00% | 15.00% |
Natural | 20 (27.03%) | 21 (28.38%) | 18, 2 | 21, 0 | 10 | 50.00% | 47.62% | ||
Monkey 2 | 123 | Noise | 19 (15.45%) | 20 (16.26%) | 19, 0 | 18, 2 | 8 | 42.11% | 40.00% |
Natural | 29 (23.58%) | 25 (20.33%) | 28, 1 | 24, 1 | 15 | 51.72% | 60.00% | ||
