FLIF: Fatiguing Leaky Integrate and Fire
- The model is a point model.
- Neurons are connected by uni-directional synapses
- A standard neural model is a leaky integrate and fire model.
- That integrates activity from attached neurons; if it
passes a threshold it fires and sends activity down its synapses.
- If it doesn't fire, some of its retained activity leaks away,
making it easier to fire later.
- Ours is rather unusual using fatigue to raise the threshold.
- If a neuron fires, its fatigue is raised, but if it doesn't fire
in a step the fatigue goes down.
- This prevents neurons from firing all the time.
- We've aligned it to biological data, so it's a reasonable
neural model.
