nnmt.lif.exp._pairwise_covariances

nnmt.lif.exp._pairwise_covariances(J_eff, nu, cvs, return_noise_strength=False)

Calculates the pairwise covariances in linear response theory.

We make use of Eq. 9 together with Eq. 11 from Layer et al. [2023].

Assumptions and approximations:

• Linear response approximation
• Spiketrains well described by renewal process

Parameters:

J_effnp.array

Pairwise effective connectivity matrix in V.

nunp.array

Firing rates of populations in Hz.

cvsnp.array

Coefficients of variation.

return_noise_strength[False|True]

Whether the external noise strength matrix (Eq. 11) should be returned. Default is False.

Returns:

np.array

Pairwise effective covariance matrix by default. If return_noise_strength is True the covariance matrix is returned together with the effective noise strength matrix.