diff --git a/neurolib/models/fhn/timeIntegration.py b/neurolib/models/fhn/timeIntegration.py index 1a4bcbe8..f3be5874 100644 --- a/neurolib/models/fhn/timeIntegration.py +++ b/neurolib/models/fhn/timeIntegration.py @@ -57,7 +57,6 @@ def timeIntegration(params): # no self-feedback delay Dmat[np.eye(len(Dmat)) == 1] = np.zeros(len(Dmat)) Dmat_ndt = np.around(Dmat / dt).astype(int) # delay matrix in multiples of dt - params["Dmat_ndt"] = Dmat_ndt # Additive or diffusive coupling scheme coupling = params["coupling"] diff --git a/neurolib/models/hopf/timeIntegration.py b/neurolib/models/hopf/timeIntegration.py index 15c49980..20e4fe60 100644 --- a/neurolib/models/hopf/timeIntegration.py +++ b/neurolib/models/hopf/timeIntegration.py @@ -62,7 +62,6 @@ def timeIntegration(params): Dmat = dp.computeDelayMatrix(lengthMat, signalV) Dmat[np.eye(len(Dmat)) == 1] = np.zeros(len(Dmat)) Dmat_ndt = np.around(Dmat / dt).astype(int) # delay matrix in multiples of dt - params["Dmat_ndt"] = Dmat_ndt # ------------------------------------------------------------------------ # Initialization diff --git a/neurolib/models/wc/timeIntegration.py b/neurolib/models/wc/timeIntegration.py index 5dcc830b..0c83d55f 100644 --- a/neurolib/models/wc/timeIntegration.py +++ b/neurolib/models/wc/timeIntegration.py @@ -62,7 +62,6 @@ def timeIntegration(params): Dmat = dp.computeDelayMatrix(lengthMat, signalV) Dmat[np.eye(len(Dmat)) == 1] = np.zeros(len(Dmat)) Dmat_ndt = np.around(Dmat / dt).astype(int) # delay matrix in multiples of dt - params["Dmat_ndt"] = Dmat_ndt # ------------------------------------------------------------------------ # Initialization # Floating point issue in np.arange() workaraound: use integers in np.arange() diff --git a/neurolib/models/ww/timeIntegration.py b/neurolib/models/ww/timeIntegration.py index f60027c3..5142e965 100644 --- a/neurolib/models/ww/timeIntegration.py +++ b/neurolib/models/ww/timeIntegration.py @@ -67,7 +67,6 @@ def timeIntegration(params): # no self-feedback delay Dmat[np.eye(len(Dmat)) == 1] = np.zeros(len(Dmat)) Dmat_ndt = np.around(Dmat / dt).astype(int) # delay matrix in multiples of dt - params["Dmat_ndt"] = Dmat_ndt # # Additive or diffusive coupling scheme # version = params["version"]