neurodynex.exponential_integrate_fire package¶
Submodules¶
neurodynex.exponential_integrate_fire.exp_IF module¶
Exponential Integrate-and-Fire model. See Neuronal Dynamics, Chapter 5 Section 2
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neurodynex.exponential_integrate_fire.exp_IF.simulate_exponential_IF_neuron(tau=12. * msecond, R=20. * Mohm, v_rest=-65. * mvolt, v_reset=-60. * mvolt, v_rheobase=-55. * mvolt, v_spike=-30. * mvolt, delta_T=2. * mvolt, I_stim=<brian2.input.timedarray.TimedArray object>, simulation_time=200. * msecond)[source]¶ Implements the dynamics of the exponential Integrate-and-fire model
Parameters: - tau (Quantity) – Membrane time constant
- R (Quantity) – Membrane resistance
- v_rest (Quantity) – Resting potential
- v_reset (Quantity) – Reset value (vm after spike)
- v_rheobase (Quantity) – Rheobase threshold
- v_spike (Quantity) – voltage threshold for the spike condition
- delta_T (Quantity) – Sharpness of the exponential term
- I_stim (TimedArray) – Input current
- simulation_time (Quantity) – Duration for which the model is simulated
Returns: A b2.StateMonitor for the variable “v” and a b2.SpikeMonitor
Return type: (voltage_monitor, spike_monitor)