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Update network_run.py #1

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Update network_run.py #1

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20 changes: 15 additions & 5 deletions network_run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,9 +31,16 @@
sim_time_test = sim_time
x_len_test = sim_time_test/dt
for nn in range(n):
if nn < ne: p_rate = b_rate*(1+m_exc*np.cos(2*(th - po_init[nn])))
else: p_rate = b_rate*(1+m_inh*np.cos(2*(th - po_init[nn])))
rate_ev = np.random.poisson(p_rate*dt/1000., x_len_test).tolist()
if nn < ne:
p_rate = b_rate*(1+m_exc*np.cos(2*(th - po_init[nn])))
else:
p_rate = b_rate*(1+m_inh*np.cos(2*(th - po_init[nn])))
try:
rate_ev = np.random.poisson(lam=int(p_rate * dt / 1000), size=int(x_len_test)).tolist()
except TypeError as e:
print(f"TypeError: {e}")
print(f"p_rate * dt / 1000 evaluated to {p_rate * dt / 1000} which is cast to {int(p_rate * dt / 1000)}")
print(f"Size parameter x_len_test is {x_len_test}, should be integer but was cast to {int(x_len_test)}")
x_bp.append(rate_ev)
x_bp = np.array(x_bp)

Expand All @@ -57,7 +64,7 @@
stim_rng_tot = []
for blk in range(block_no):
print(blk)
stim_rng = np.random.uniform(0, np.pi, stim_no)
stim_rng = np.random.uniform(0, np.pi, int(stim_no))
stim_rng_tot.append(stim_rng)
t_stim = sim_time / len(stim_rng)
x_wp = []
Expand All @@ -66,7 +73,10 @@
for st in stim_rng:
if nn < ne: p_rate = b_rate*(1+m_exc*np.cos(2*(st - po_init[nn])))
else: p_rate = b_rate*(1+m_inh*np.cos(2*(st - po_init[nn])))
rates = rates + np.random.poisson(p_rate*dt/1000., x_len/len(stim_rng)).tolist()
try:
rate_ev = np.random.poisson(lam=int(p_rate * dt / 1000), size=int(x_len / len(stim_rng))).tolist()
except TypeError as e:
print(f"TypeError: {e}")
rates = np.array(rates)
x_wp.append(rates)
x_wp = np.array(x_wp)
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