def init():
nest.ResetKernel()
global neuron, input, vm
neuron = nest.Create('iaf_neuron', params={'C_m': 250., 'tau_m': 10.})
input = nest.Create('noise_generator', params={'mean': 250., 'std': 250.})
vm = nest.Create('voltmeter')
nest.Connect(input, neuron)
nest.Connect(vm, neuron)
values = request.get_json()
nest.SetStatus(input, {
'mean': float(values['mean']),
'std': float(values['std'])
})
nest.SetStatus(neuron, {
'C_m': float(values['C_m']),
'tau_m': float(values['tau_m'])
})
nest.Simulate(1000.)
events = nest.GetStatus(vm, 'events')[0]
nest.SetStatus(vm, {'n_events': 0})
return jsonify(data=hh.prep_single([events['times'], events['V_m']]))
def init():
# import pdb;pdb.set_trace()
values = request.get_json()
values["neuron"]["params"] = dict(
zip(values["neuron"]["params"].keys(), map(lambda x: float(x), values["neuron"]["params"].values()))
)
values["input"]["params"] = dict(
zip(values["input"]["params"].keys(), map(lambda x: float(x), values["input"]["params"].values()))
)
nest.ResetKernel()
global neuron
neuron = nest.Create(values["neuron"]["model"], params=values["neuron"]["params"])
global input
input = nest.Create(values["input"]["model"], params=values["input"]["params"])
nest.Connect(input, neuron)
global vm
vm = nest.Create("voltmeter")
nest.Connect(vm, neuron)
nest.Simulate(1000)
events = nest.GetStatus(vm, "events")[0]
nest.SetStatus(vm, {"n_events": 0})
return jsonify(data=hh.prep_single([events["times"], events["V_m"]]), values=values)
def simulate():
values = request.get_json()
nest.SetStatus(input, {'mean':float(values['mean']),'std':float(values['std'])})
nest.SetStatus(neuron, {'C_m':float(values['C_m']),'tau_m':float(values['tau_m'])})
nest.Simulate(1.)
events = nest.GetStatus(vm,'events')[0]
nest.SetStatus(vm, {'n_events':0})
return jsonify(data=hh.prep_single([events['times'], events['V_m']]))
def simulate():
values = request.get_json()
values["input"]["params"] = dict(
zip(values["input"]["params"].keys(), map(lambda x: float(x), values["input"]["params"].values()))
)
values["neuron"]["params"] = dict(
zip(values["neuron"]["params"].keys(), map(lambda x: float(x), values["neuron"]["params"].values()))
)
nest.SetStatus(input, values["input"]["params"])
nest.SetStatus(neuron, values["neuron"]["params"])
nest.Simulate(1)
events = nest.GetStatus(vm, "events")[0]
nest.SetStatus(vm, {"n_events": 0})
return jsonify(data=hh.prep_single([events["times"], events["V_m"]]), values=values)
def simulate():
values = request.get_json()
nest.SetStatus(input, {
'mean': float(values['mean']),
'std': float(values['std'])
})
nest.SetStatus(neuron, {
'C_m': float(values['C_m']),
'tau_m': float(values['tau_m'])
})
nest.Simulate(1.)
events = nest.GetStatus(vm, 'events')[0]
nest.SetStatus(vm, {'n_events': 0})
return jsonify(data=hh.prep_single([events['times'], events['V_m']]))
def init():
# import pdb;pdb.set_trace()
nest.ResetKernel()
global neuron
neuron = nest.Create('iaf_neuron', params={'C_m': 250., 'tau_m': 10.})
global input
input = nest.Create('noise_generator', params={'mean':250., 'std':250.})
nest.Connect(input,neuron)
global vm
vm = nest.Create('voltmeter')
nest.Connect(vm,neuron)
nest.Simulate(1000.)
events = nest.GetStatus(vm,'events')[0]
nest.SetStatus(vm, {'n_events': 0})
# return render_template('iaf_neuron_d3-slider.html', data=hh.prep_single([events['times'], events['V_m']]))
return render_template('iaf_neuron_jquery-slider.html', data=hh.prep_single([events['times'], events['V_m']]))
def init():
nest.ResetKernel()
global neuron,input,vm
neuron = nest.Create('iaf_neuron', params={'C_m': 250., 'tau_m': 10.})
input = nest.Create('noise_generator', params={'mean':250., 'std':250.})
vm = nest.Create('voltmeter')
nest.Connect(input,neuron)
nest.Connect(vm,neuron)
values = request.get_json()
nest.SetStatus(input, {'mean':float(values['mean']),'std':float(values['std'])})
nest.SetStatus(neuron, {'C_m':float(values['C_m']),'tau_m':float(values['tau_m'])})
nest.Simulate(1000.)
events = nest.GetStatus(vm,'events')[0]
nest.SetStatus(vm, {'n_events':0})
return jsonify(data=hh.prep_single([events['times'], events['V_m']]))