Make sure all examples work

examples/I-F_curve_Hodgkin_Huxley.py

@@ -10,8 +10,7 @@
 
 BrianLogger.log_level_info()
 
-language = PythonLanguage()
-#language = CPPLanguage()
+#brian_prefs.codegen.target = 'weave'
 
 N = 100
 
@@ -38,9 +37,8 @@
 I : amp
 ''')
 # Threshold and refractoriness are only used for spike counting
-group = NeuronGroup(N, model=eqs, threshold='is_active * (v > -40*mV)',
-                    language=language)
-group.refractory = 1*ms
+group = NeuronGroup(N, model=eqs, threshold='not_refractory and (v > -40*mV)',
+                    refractory='v > -40*mV')
 group.v = El
 group.I = linspace(0 * nA, 0.7 * nA, N)
 

examples/I-F_curve_LIF.py

@@ -8,6 +8,8 @@
 from pylab import *
 from brian2 import *
 
+#brian_prefs.codegen.target = 'weave'
+
 N = 1000
 tau = 10 * ms
 eqs = '''

examples/non_reliability.py

@@ -10,6 +10,8 @@
 from pylab import *
 from brian2 import *
 
+#brian_prefs.codegen.target = 'weave'
+
 N = 25
 tau = 20 * ms
 sigma = .015

examples/phase_locking.py

@@ -5,6 +5,8 @@
 from pylab import *
 from brian2 import *
 
+#brian_prefs.codegen.target = 'weave'
+
 tau = 20 * ms
 N = 100
 b = 1.2 # constant current mean, the modulation varies

examples/synapses.py

@@ -1,8 +1,9 @@
-import numpy as np
 import matplotlib.pyplot as plt
 
 from brian2 import *
 
+#brian_prefs.codegen.target = 'weave'
+
 G1 = NeuronGroup(10, 'dv/dt = -v / (10*ms) : 1',
                 threshold='v > 1',
                 reset='v=0.')

examples/synapses_STDP.py

@@ -9,6 +9,8 @@
 import matplotlib.pyplot as plt
 from time import time
 
+#brian_prefs.codegen.target = 'weave'
+
 N = 1000
 taum = 10 * ms
 taupre = 20 * ms

examples/synapses_gapjunctions.py

@@ -7,6 +7,8 @@
 
 from brian2 import *
 
+#brian_prefs.codegen.target = 'weave'
+
 N = 10
 v0 = 1.05
 tau = 10*ms

examples/synapses_licklider.py

@@ -7,14 +7,16 @@
 from pylab import *
 from brian2 import *
 
+#brian_prefs.codegen.target = 'weave'
+
 defaultclock.dt = .02 * ms
 
 # Ear and sound
 max_delay = 20 * ms # 50 Hz
 tau_ear = 1 * ms
-sigma_ear = .1
+sigma_ear = .0
 eqs_ear = '''
-dx/dt=(sound-x)/tau_ear+sigma_ear*(2./tau_ear)**.5*xi : 1 (unless-refractory)
+dx/dt=(sound-x)/tau_ear+0.1*(2./tau_ear)**.5*xi : 1 (unless-refractory)
 sound=5*sin(2*pi*frequency*t)**3 : 1 # nonlinear distorsion
 #sound=5*(sin(4*pi*frequency*t)+.5*sin(6*pi*frequency*t)) : 1 # missing fundamental
 frequency=(200+200*t*Hz)*Hz : Hz # increasing pitch

examples/synapses_nonlinear.py

@@ -4,6 +4,8 @@
 """
 from brian2 import *
 
+brian_prefs.codegen.target = 'weave'
+
 a=1/(10*ms)
 b=1/(10*ms)
 c=1/(10*ms)

examples/synapses_state_variables.py

@@ -5,6 +5,8 @@
 from brian2 import *
 import numpy as np
 
+#brian_prefs.codegen.target = 'weave'
+
 G = NeuronGroup(100, 'v:volt')
 G.v = '(sin(2*pi*i/_num_neurons) - 70 + 0.25*randn()) * mV'
 S = Synapses(G, G, 'w:volt', pre='v+=w')