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relabelling of "delay" => "delayed"
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lenasal authored Feb 15, 2024
1 parent ef43a30 commit 3432d30
Showing 1 changed file with 12 additions and 12 deletions.
24 changes: 12 additions & 12 deletions neurolib/models/ww/timeIntegration.py
Original file line number Diff line number Diff line change
Expand Up @@ -408,7 +408,7 @@ def compute_hx(
V,
T,
dyn_vars,
dyn_vars_delay,
dyn_vars_delayed,
control,
sv,
):
Expand All @@ -430,8 +430,8 @@ def compute_hx(
:type T: int
:param dyn_vars: N x V x T array containing all values of 'exc' and 'inh'.
:type dyn_vars: np.ndarray
:param dyn_vars_delay:
:type dyn_vars_delay: np.ndarray
:param dyn_vars_delayed: N x V x T array containing all delayed values of 'exc' and 'inh'.
:type dyn_vars_delayed: np.ndarray
:param control: N x 2 x T control inputs to 'exc' and 'inh'.
:type control: np.ndarray
:param sv: dictionary of state vars and respective indices
Expand All @@ -441,7 +441,7 @@ def compute_hx(
:rtype: np.ndarray
"""
hx = np.zeros((N, T, V, V))
nw_e = compute_nw_input(N, T, K_gl, cmat, dmat_ndt, dyn_vars_delay[:, sv["se"], :])
nw_e = compute_nw_input(N, T, K_gl, cmat, dmat_ndt, dyn_vars_delayed[:, sv["se"], :])

for n in range(N):
for t in range(T):
Expand Down Expand Up @@ -591,7 +591,7 @@ def compute_hx_nw(
T,
se,
si,
se_delay,
se_delayed,
ue,
sv,
):
Expand All @@ -615,8 +615,8 @@ def compute_hx_nw(
:type se: np.ndarray
:param si: Array of the se-variable.
:type si: np.ndarray
:param se_delay: Value of delayed se-variable.
:type se_delay: np.ndarray
:param se_delayed: Value of delayed se-variable.
:type se_delayed: np.ndarray
:param ue: N x T array of the total input received by 'exc' population in every node at any time.
:type ue: np.ndarray
:param sv: dictionary of state vars and respective indices
Expand Down Expand Up @@ -645,7 +645,7 @@ def compute_hx_nw(
) = model_params
hx_nw = np.zeros((N, N, T, V, V))

nw_e = compute_nw_input(N, T, K_gl, cmat, dmat_ndt, se_delay)
nw_e = compute_nw_input(N, T, K_gl, cmat, dmat_ndt, se_delayed)
IE = w_exc * (exc_current_baseline + ue) + w_ee * J_NMDA * se - J_I * si + J_NMDA * nw_e

for n1 in range(N):
Expand All @@ -672,7 +672,7 @@ def Duh(
K_gl,
cmat,
dmat_ndt,
se_delay,
se_delayed,
sv,
):
"""Jacobian of systems dynamics wrt. external inputs (control signals).
Expand Down Expand Up @@ -703,8 +703,8 @@ def Duh(
:type cmat: np.ndarray
:param dmat_ndt: delay index matrix
:type dmat_ndt: np.ndarray
:param se_delay: N x T array containing values of 'exc' of all nodes through time.
:type se_delay: np.ndarray
:param se_delayed: N x T array containing values of 'exc' of all nodes through time.
:type se_delayed: np.ndarray
:param sv: dictionary of state vars and respective indices
:type sv: dict
Expand All @@ -730,7 +730,7 @@ def Duh(
w_ee,
) = model_params

nw_e = compute_nw_input(N, T, K_gl, cmat, dmat_ndt, se_delay)
nw_e = compute_nw_input(N, T, K_gl, cmat, dmat_ndt, se_delayed)

duh = np.zeros((N, V_vars, V_in, T))
for t in range(T):
Expand Down

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