A simulated neuron model that integrates incoming current (input), gradually loses voltage due to leakiness, and generates a spike when the membrane potential crosses a threshold.
- Neuron receives an input current
- Membrane potential increases gradually.
- If the threshold is crossed, it fires and resets
- All spike times are plotted.
- The neuron updates using the differential equation :
dV = (-V + I)*(dt/tau)
- V : Membrane potential (voltage)
- I : Input current
- tau : Membrane time constant (leakiness)
- dt : Time step (simulation resolution)
- dV : Change in membrane potential during one time step
