As a teaching assistant at various international summer schools on computational neuroscience, I've designed and delivered several tutorials (mostly in python + Brian 2.0):
Computational Approaches to Memory and Plasticity (CAMP) 2016, Bangalore, India:
Excitatory-Inhibitory networks: https://github.com/adityagilra/tutorials/tree/master/EI_networks/CAMP_Bangalore_2016 (code based on Brunel, 2000 and Teramae, Tsubo and Fukai, 2012).
Long-Term Plasticity in Networks: https://github.com/adityagilra/tutorials/tree/master/LTPinnetworks2 (has libreoffice slides, code based on Zenke, et al 2015 and Gilson, et al 2012).
Associative Memory: https://github.com/adityagilra/tutorials/tree/master/associative_memory (based on Zenke, et al 2013, Zenke, et al 2015, and Hiratani, et al 2012).
Functional STDP: https://github.com/adityagilra/tutorials/tree/master/functional_stdp (mostly implementation of stuff from Gilson, et al 2012.).
Excitatory-Inhibitory networks: https://github.com/adityagilra/tutorials/tree/master/EI_networks/CAMP_Bangalore_2014 - see steps.txt for instructions.
Spike-timing-Dependent-Plasticity: single synapse and network: https://github.com/adityagilra/tutorials/tree/master/stdp/CAMP_Bangalore_2014.
To add to this page: tutorials that I designed for Computational and Cognitive Neuroscience (CCN) summer school 2012, Beijing, China; CCN 2013, Beijing, China; and CAMP 2017, Bangalore, India.
Also, have not yet added the slides for all the tutorials as I've used figures from others' papers -- though I guess teaching use should be fine -- mail me if you'd like the slides for any tutorial.