The Basics: neurons and spike sources
- The Basics of the simulations I'm describing here are:
- We're using leaky integrate and fire neurons (If_Cond_Exp),
- We use spike source arrays for input. That's input and specified
times, connected with static synapses to the neurons.
- We have a 1 ms time step (for SpiNNaker, but also historical
remanant).
- Synapses are typically static, though we do learning in python
in one set of experiments.
- Some neurons do have both excitatory and inhibitory synapses
leaving them (which is not really good for biological plausibility).
