Exemple #1
0
def run(netdef,tosave,modify,procs,thisProc,stims,param,repeats,sim_time,SaveSpikes,SaveVoltage,SaveConductance,SaveCurrent):
    net = netdef()

    if SaveVoltage:
        net.recordVoltage()

    repeats = int(repeats)
    # Randomseed was 200 for most figures
    # Changed to 200 for rat
    # Changed to 200 for anurans
    s = Simulation(net, randomseed=202,delay=25)
    s.verbose = False
    s.sim_time = sim_time
    s.dt = 0.050
    total = len(stims)*len(param)*repeats
    spp = ceil(float(total)/procs)
    start = thisProc*spp
    end = (thisProc+1)*spp
    count = 0
    for a in param: 
        s.set_amplitude(net.sim_amp)
        for d in stims*repeats:
            if count >= start and count < end:
                net = modify(net,a,d)
                progress.update(count-start,spp,thisProc)
                s.stim_dur = d 
                s.run()
                key = [a,d] 
                net.savecells(tosave, key, spikes=SaveSpikes,voltage=SaveVoltage,conductance=SaveConductance,current=SaveCurrent)
            count += 1
    progress.update(spp,spp,thisProc)

    r = [thisProc,net.savedparams,net.savedcells]
    return r
Exemple #2
0
import neuron
import netshow as ns
import progress

# Create our network
networks = {}
networks["C"] = network.DTN_Coincidence()
networks["AC"] = network.DTN_AntiCoincidence()


# Initialize the simulation with the network
s = {}
for net in networks:
    s[net] = Simulation(networks[net])
    s[net].verbose = False
    s[net].sim_time = 100
    s[net].dt = 0.025


# Run the simulations
stims = [i for i in range(1,31,1)]
repeats = 15
param = [(i*2)+10 for i in range(11)]

total = len(stims)*len(param)*repeats
print "Running %d simulations..." % total
count = 0

for a in param: 
    for net in networks:
        networks["AC"].cells["IC"]["cells"][0].sec["soma"].L = a