added persifexp

persIFExp.py

@@ -0,0 +1,52 @@
+"""
+This IF_curr_alpha model fires every 4 ms. persistently.
+"""
+
+from pyNN.utility import get_script_args, normalized_filename
+#from neo.io import NeoHdf5IO
+from neo.io import PyNNTextIO
+#from neo import io
+
+DELAY = 1.0
+
+SIM_LENGTH = 100
+
+simulator_name = get_script_args(1)[0]  
+exec("from pyNN.%s import *" % simulator_name)
+
+setup(timestep=DELAY,min_delay=DELAY,max_delay=DELAY,debug=True)
+
+
+#input neurons 
+#default 
+cell_params = {}
+redPop = Population(5,IF_curr_exp(**cell_params))
+
+#set up clamped input
+pulse = DCSource(amplitude=3.0, start=0.0, stop=10)
+inputAssembly = Assembly(redPop[0,1,2,3,4])
+pulse.inject_into(inputAssembly)
+
+
+#setup connections
+#synWeight = 1.0
+synWeight = 0.9
+
+#setup synapses for peristent CAs
+connect(redPop, redPop, weight=synWeight, delay=DELAY)
+
+
+#setup recording
+redPop.record(['spikes','v'])
+
+print redPop[0].get_parameters()
+
+run(SIM_LENGTH)
+print "Red"
+outAss =  Assembly(redPop[0,1])
+outDat = outAss.get_data()
+for seg in outDat.segments:
+    print(seg.spiketrains)
+
+
+end()