Input-Frequency curve of a IF model ======================== Network: 1000 unconnected integrate-and-fire neurons (leaky IF) with an input parameter v0. The input is set differently for each neuron. .. code-block:: python // IF_curve_LIF.py from brian2 import * n = 1000 duration = 1*second tau = 10*ms eqs = ''' dv/dt = (v0 - v) / tau : volt (unless refractory) v0 : volt ''' group = NeuronGroup(n, eqs, threshold='v > 10*mV', reset='v = 0*mV', refractory=5*ms, method='exact') group.v = 0*mV group.v0 = '20*mV * i / (n-1)' monitor = SpikeMonitor(group) run(duration, report='text', report_period=0.1*second) .. code-block:: html Example: IF_curve_LIF

Example: IF_curve_LIF

Input-Frequency curve of a leaky integrate-and-fire (LIF) neuron model.
Network: 1000 unconnected integrate-and-fire neurons (leaky IF) with an input parameter v0.
The input is set differently for each neuron.

.. code-block:: console python - m brian2wasm IF_curve_LIF.py **Output** .. image:: ../images/result_IF_curve_LIF.png