Exploring SpiNNaker

This report explores the capabilities and limitations of the SpiNNaker neuromorphic computing platform by extending the current sPyNNaker API to implement a compartmental neuron model capable of distinguishing between multiple excitatory inputs. The implemented model successfully achieves this and a novel approach to implement more complex learning rule is proposed that utilises a modulating signal to initiate learning. These novel contributions take initial exploratory steps to inform the development of next generation neuromorphic hardware and software.