Table 1 Accuracy of prediction and properties of the reconstructed functional network for 10 sessions.
Session ID | Task | #Training | #Neurons | Regions | TP | TN |
|
|
|
|---|---|---|---|---|---|---|---|---|---|
ec012ec.187(Rat #1) | Mwheel | 10 | 13 | EC3 EC5 | 75.5% | 92.1% | 9.38 | 1.22 | 0.81 |
ec012ec.188(Rat #1) | Mwheel | 10 | 7 | EC3 EC5 | 73.3% | 90.9% | 5.71 | 1.05 | 0.95 |
ec012ec.189(Rat #1) | Mwheel | 10 | 11 | EC3 EC5 | 76.5% | 92.8% | 8.73 | 1.12 | 0.89 |
ec012ec.212(Rat #1) | Mwheel | 10 | 6 | EC3 EC5 | 84.9% | 80.8% | 2.00 | 1.87 | 0.39 |
ec013.533(Rat #2) | Linear | 10 | 43 | EC3 EC4 EC5 CA1 | 74.2% | 90.3% | 20.8 | 1.51 | 0.57 |
ec013.578(Rat #2) | Wheel | 10 | 28 | EC3 EC4 EC5 CA1 | 74.9% | 88.9% | 20.9 | 1.22 | 0.79 |
ec016.437(Rat #3) | Wheel | 8 | 36 | EC3 EC4 EC5 CA1 | 79.2% | 80.3% | 14.8 | 1.58 | 0.50 |
ec014.215(Rat #4) | Bigsquare | 1 | 25 | EC2 EC3 EC5 CA1 | 80.1% | 92.0% | 20.6 | 1.21 | 0.79 |
ec014.260(Rat #4) | Bigsquare | 3 | 53 | EC2 EC3 EC5 CA1 | 80.0% | 93.1% | 38.2 | 1.26 | 0.74 |
ec014.277(Rat #4) | Bigsquare | 4 | 64 | EC2 EC3 EC5 CA1 | 84.2% | 95.0% | 46.9 | 1.25 | 0.76 |
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