.. currentmodule:: brian2

.. Fig5A:

Example: Fig5A
==============


        .. only:: html

            .. |launchbinder| image:: http://mybinder.org/badge.svg
            .. _launchbinder: https://mybinder.org/v2/gh/brian-team/brian2-binder/master?filepath=examples/frompapers/Brette_2012/Fig5A.ipynb

            .. note::
               You can launch an interactive, editable version of this
               example without installing any local files
               using the Binder service (although note that at some times this
               may be slow or fail to open): |launchbinder|_

        

Brette R (2013). Sharpness of spike initiation in neurons explained by compartmentalization.
PLoS Comp Biol, doi: 10.1371/journal.pcbi.1003338.

Fig. 5A. Voltage trace for current injection, with an additional reset when a spike is produced.

Trick: to reset the entire neuron, we use a set of synapses from the spike initiation compartment where the
threshold condition applies to all compartments, and the reset operation (v = EL) is applied there every time
a spike is produced.

::

    from brian2 import *
    from params import *
    
    defaultclock.dt = 0.025*ms
    duration = 500*ms
    
    # Morphology
    morpho = Soma(50*um)  # chosen for a target Rm
    morpho.axon = Cylinder(diameter=1*um, length=300*um, n=300)
    
    # Input
    taux = 5*ms
    sigmax = 12*mV
    xx0 = 7*mV
    
    compartment = 40
    
    # Channels
    eqs = '''
    Im = gL * (EL - v) + gNa * m * (ENa - v) + gLx * (xx0 + xx) : amp/meter**2
    dm/dt = (minf - m) / taum : 1  # simplified Na channel
    minf = 1 / (1 + exp((va - v) / ka)) : 1
    gNa : siemens/meter**2
    gLx : siemens/meter**2
    dxx/dt = -xx / taux + sigmax * (2 / taux)**.5 *xi : volt
    '''
    
    neuron = SpatialNeuron(morphology=morpho, model=eqs, Cm=Cm, Ri=Ri,
                           threshold='m>0.5', threshold_location=compartment,
                           refractory=5*ms)
    neuron.v = EL
    neuron.gLx[0] = gL
    neuron.gNa[compartment] = gNa_0 / neuron.area[compartment]
    
    # Reset the entire neuron when there is a spike
    reset = Synapses(neuron, neuron, on_pre='v = EL')
    reset.connect('i == compartment')  # Connects the spike initiation compartment to all compartments
    
    # Monitors
    S = SpikeMonitor(neuron)
    M = StateMonitor(neuron, 'v', record=0)
    run(duration, report='text')
    
    # Add spikes for display
    v = M[0].v
    for t in S.t:
        v[int(t / defaultclock.dt)] = 50*mV
    
    plot(M.t/ms, v/mV, 'k')
    tight_layout()
    show()
    

.. image:: ../resources/examples_images/frompapers.Brette_2012.Fig5A.1.png