nnmt.lif.exp._fit_transfer_function

nnmt.lif.exp._fit_transfer_function(transfer_function, omegas, tau_m, J, K)

Fits the transfer function (tf) of a low-pass filter to the passed tf.

For details of the fitting procedure see nnmt.lif._general._fit_transfer_function().

For details of the theory refer to Senk et al. [2020], Sec. F ‘Comparison of neural-field and spiking models’.

Parameters:

transfer_functionnp.array

Transfer functions for each population with the following shape: (number of freqencies, number of populations).

omegas[float | np.ndarray]

Input frequencies to population in Hz.

tau_mfloat

Membrane time constant of post-synatic neuron in s.

Jnp.array

Weight matrix in V.

Knp.array

Indegree matrix.

Returns:

transfer_function_fitnp.array

Fit of transfer functions in Hertz/volt for each population with the following shape: (number of freqencies, number of populations).

tau_ratenp.array

Fitted time constant for each population in s.

W_ratenp.array

Matrix of fitted weights (unitless).

fit_errorfloat

Combined fit error.