Parameter Values for FLIF Neurons

A typical human brain consists of roughly 100 billion neurons, and one key aim of Biological Cybernetics is to simulate neural systems. A good model of a neuron accurately represents the behaviour of biological neurons, typically the spiking behaviour. For cybernetics systems that function in real time with thousands, millions, or even billions of simulated neurons, it is also important that the model is computationally efficient. Fatiguing Leaky Integrate and Fire neurons are models that have four free parameters per neuron. They have been used in cybernetic agents, but there have been few links to actual biological behaviour. A model of a rat neocortical neuron is developed with four specific parameter settings. This model is tuned to a particular input regime. When compared to a biological neuron it gets 90% of spikes roughly correct.