Slides Nair Calyam NeuroCI Course Gateways 2018.pdf

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Neuroscientists are increasingly relying on parallel

and distributed computing resources for analysis and visualization

of their neuron simulations. This requires expert knowledge

of programming and cyberinfrastructure configuration, which

is beyond the repertoire of most neuroscience programs. This

paper presents early experiences from a one-credit graduate

research training course titled ECE 8001 “Software and Cyber

Automation in Neuroscience” at the University of Missouri

for engendering multi-disciplinary collaborations between computational

neuroscience and cyberinfrastructure students and

faculty. Specifically, we discuss the course organization and

exemplar outcomes involving a next-generation science gateway

for training novice users on exemplar neuroscience use cases

that involve using tools such as NEURON and MATLAB on

local as well as Neuroscience Gateway resources. We also

discuss our vision towards a course sequence curriculum for

graduate/undergraduate students from biological/psychological

sciences and computer science/engineering to jointly build “selfservice”

training modules using Jupyter Notebook platforms.

Thus, our efforts show how we can create scalable and sustainable

cyber and software automation for fulfilling a broad set

of neuroscience research and education use cases.