The document discusses computational cognitive neuroscience and neuron dynamics. It describes neuron variables that determine the neuron's membrane potential and how inputs are integrated over time. The equilibrium membrane potential equation is shown, which depends on excitatory, inhibitory and leak conductances and driving potentials. If the membrane potential exceeds the threshold, the neuron will fire a spike and reset. Spikes can be approximated as rates using functions like X-over-X-plus-1 to model actual spiking behavior from input rates.