Learning Outcomes

1. Critically evaluate common computational models of neurons.
2. Critically evaluate common computational models of synaptic plasticity.
3. Modify common mechanisms for building and growing computational neural topologies to solve novel problems.
4. Implement a range of spiking neural models in a computer simulation.
5. Use computational spiking neurons to implement simple algorithms.