I'm trying to get the PyNN version of the microcircuit working and am really struggling to find the right combination of NEST and PyNN version. The readme says to use Nest 2.4.1 but I have failed to find a version of PyNN that is suitable:
- PyNN 0.8.0 (installed from pip) fails with
AttributeError: 'module' object has no attribute 'FixedTotalNumberConnector'
- PyNN 0.8.1 (installed from pip) fails with
pynestkernel.NESTError: UnknownModelName in SetDefaults_l_D: /static_synapse_lbl is not a known model name.
Could you update the README so it recommends the correct versions? Additionally, what are the scaling values required to match the version in the paper (80x10^3 neurons, 0.3x10^9 synapses)? In the PyNest version they're both set to 0.1 and in the PyNN version K_scaling = 0.5 and N_scaling = 1.0.
I'm trying to get the PyNN version of the microcircuit working and am really struggling to find the right combination of NEST and PyNN version. The readme says to use Nest 2.4.1 but I have failed to find a version of PyNN that is suitable:
AttributeError: 'module' object has no attribute 'FixedTotalNumberConnector'pynestkernel.NESTError: UnknownModelName in SetDefaults_l_D: /static_synapse_lbl is not a known model name.Could you update the README so it recommends the correct versions? Additionally, what are the scaling values required to match the version in the paper (80x10^3 neurons, 0.3x10^9 synapses)? In the PyNest version they're both set to 0.1 and in the PyNN version
K_scaling = 0.5andN_scaling = 1.0.