nnmt.models.Basic

class nnmt.models.Basic(network_params=None, analysis_params=None, file=None)

Model similar to Microcircuit, without assuming any network structure.

This model only reads in the parameter yaml files and calculates the most basic dependend parameters. It converts the weights from pA to mV, calculates relative thresholds and converts the analysis frequencies to angular frequencies.

It optionally calculates the spatial Fourier wavenumbers (also known as k values) needed for a linear stability analysis of spatially structured network models.

Parameters:

network_params[str | dict]

Network parameters yaml file name or dictionary including:

• Cfloat

  Membrane capacitance in pF.

• V_th_abs[float | np.array]

  Absolute threshold potential in mV.

• V_0_abs[float | np.array]

  Absolute reset potential in mV.

• populationslist of strings

  Names of different populations.

• tau_sfloat

  Synaptic time constant in ms.

• Wnp.array

  Matrix of amplitudes of post synaptic current in pA. It needs to be a len(populations) x len(populations) matrix.

• W_ext: np.array

  Matrix of amplitudes of external post synaptic current in pA. It needs to be a len(populations) x len(external_populations) matrix.

analysis_params[str | dict]

Analysis parameters yaml file name or dictionary including:

• dffloat

  Step size between two analysis frequencies.

• f_minfloat

  Minimal analysis frequency.

• f_maxfloat

  Maximal analysis frequency.

• dkfloat, optional

  Step size between two k values.

• k_minfloat, optional

  Minimal k value.

• k_maxfloat, optional

  Maximal k value.

See also

nnmt.models.Network

Parent class defining all arguments, attributes, and methods.