Network zca.net
Dt 0.05 Print Step Size 1 Output t VVs hhs nns bbs zzs s Experiment control 1 Change gNaP = 0 # Sets the gNaP value for each neuron to zero Change gA *= 2.0 # Doubles whatever the current gA value is for that neuron Change gsyn = gauss(1.0, 0.25) # Changes all the neurons in the network so that gsyn is a value pulled # from a Gaussian distribution with mean of 1.0 and standard # deviation of 0.25. |
Network zca.net
Dt 0.05 Print Step Size 1 Output t VVs hhs nns bbs zzs s Experiment control 1 Change gA = 0 |
Network zca.net
Dt 0.05 Print Step Size 1 Output t VVs hhs nns bbs zzs s Experiment control 1 Change gNaP = 0 |
Network zca.net
Dt 0.05 Print Step Size 1 Output t VVs hhs nns bbs zzs s Experiment control 1 Change gZ = 0 |
> cd simulations/ca1 > NeuronetExperimenter gA_0.setup > NeuronetExperimenter gNaP_0.setup > NeuronetExperimenter gZ_0.setup |
Network zca.net
Dt 0.05 Print Step Size 1 Output t VVs hhs nns bbs zzs s Experiment unconnected 2 control 2 |
Time:
500
Changes gsyn = 0 |
Time:
500
|