Computation

Our computation facilities provide opportunities for interaction across faculties and disciplines, and resources for training students and researchers in neuroscience research techniques. Our goal is to bring diverse expertise to neuroscience, and to develop interdisciplinary partnerships that lead to breakthroughs in brain health research that couldn’t happen anywhere else. The NINC Data Analysis/Computation lab features a collaborative work space with eight high-end workstations. We have hosted imaging and data analysis seminars partnering with equipment vendors such as Zeiss and Thorlabs dealing with image processing, live cell imaging and optical coherence tomography. We have offered an “Introduction to Interfacing Computers to the Real World” seminar using Raspberry pi single board computers, as well as on-going tutorials in programming and data analysis using MATLAB & Python with the Dynamic Brain Circuits cluster.

Computers

NINC-PC Access Procedures

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Resources

Cloud, HPC and Jupyterhub

We offer access to UBC cloud storage resources via UBC IT. High Performance Computing is available through the iMAP Project’s systems which were contributed to the Digital Alliance of Canada’s Cedar compute cluster at SFU. The resources can be accessed through Jupyterhub.

Software & GitHub

Our focus is on a do-it-yourself approach using open source tools like ImageJ, Cell profiler, and python with Jupyter notebooks. Join us on the UBC Brain Circuits GitHub. We also offer access to Solidworks, LabVIEW, MATLAB, Adobe CS and various other commerical packages licensed by UBC.

Hardware

The NINC has 8 high-end workstations (6-core CPU, 64GB RAM, GPU) which facilitate training and research in computational methods, programming, image processing and data analysis.  Open to all NINC members. Log-in with your UBC CWL.

Digital Research Alliance of Canada

The Digital Research Alliance of Canada brings together advanced research computing facilities, research data management services, and a network of technical experts to serve a user community of researchers across the country.  We can help migrate your computationally intensive tasks to these resources.