  In this paper, we presented a bio-realistic basal ganglia neural network and
its integration into Intel's Loihi neuromorphic processor to perform simple
Go/No-Go task. To incorporate more bio-realistic and diverse set of neuron
dynamics, we used Izhikevich neuron model, implemented as microcode, instead of
Leaky-Integrate and Fire (LIF) neuron model that has built-in support on Loihi.
This work aims to demonstrate the feasibility of implementing computationally
efficient custom neuron models on Loihi for building spiking neural networks
(SNNs) that features these custom neurons to realize bio-realistic neural
networks.
