Databinge

NINC databinge

  • Time: 4:00-5:30pm each Friday Check the Calendar
  • Location: Koerner F103
  • Food: Pizza at 4:30pm

                Open to all UBC labs. Databinge is an interactive drop-in meeting for neuroscientists with the goal of furthering training and collaboration. Supported in part by the DMCBH and the Canadian Neurophotonics Platform, our goal is to promote collaboration and emphasize practical know-how via the use of UBC licensed and open-source software and sharing of protocols. Each Friday we will have an open house in which interested labs can have a data show-and-tell, problem solving session, and/or technique presentation including interactive analysis using the facilities of the NINC. We encourage the use of MatLab, ImageJ, Python, and LabView as well as cloud-based data storage/software archiving to facilitate sharing amongst labs.

Upcoming databinges

17-Nov-2017 SFN Tech Pitch

                $50 Starbucks gift card to best SFN tech pitch (other than Deisseroth or Boyden labs since we all know how great they are), $25 for the second place. 5 minutes max, no slides only talking and white board, at least 5 pitches lined up for contest to occur.

Not Available







 

 

10-Nov-2017 Cancelled

                This Databinge has been cancelled due to SFN.

Not Available







 

 

Past Databinges

03-Nov-2017 DREADDs

                Designer Receptors Exclusively Activated by Designer Drugs.

Slide Presentation







 

 

27-Oct-2017 Autocad

                Autocad, the software for creating parts for 3D printing and machining.

Not Available







 

 

20-Oct-2017 Illustrator/Inkscape

                Using spftware such as Inkscape and Illustrator to create vector graphics for figures.

Slide Presentation







 

 


 

 

13-Oct-2017 Blender

               A talk on the benefits of rendering for creating figures and basic understanding of algorithms to calculate pixel colour value.

Slide Presentation







 

 

02-Jun-2017 Summer Workshop on the Dynamic Brain

               An in-depth overview of the Summer Workshop on the Dynamic Brain

Slide Presentation







 

 

09-Jun-2017 HPC

               Short tutorial on how to use linux/unix tools to run code on the centre's new computer cluster

Not Available







 

 

26-May-2017 The Shell

               The Unix Shell

Not Available







 

 

19-May-2017 Linux Survival Guide

               A guide on using Linux.

Not Available







 

 

12-May-2017 Bayesian Stats

               A theory in which the evidence about the true state of the world is expressed in terms of "Degrees of Belief" know as Bayesian Probabilities.

Slide Presentation







 

 

28-Apr-2017 Stats Primer

               Basic statistical tests like the t test are used by almost all neuroscientists but how do they work and allow us to make inferences from our data? What are the assumptions? What are the differences between commonly used t tests?

ZIP with demo files and slide presentation







 

 

21-Apr-2017 Resamapling, Bootstrap, and Permutation Testing Part 2.

                A discussion of resampling techniques to estimate standard error and confidence intervals as well as do hypothesis testing. These methods are very useful for exploring your data and make few assumptions about the underlying distribution.

ZIP with demo files and slide presentation







 

 

07-Apr-2017 Resamapling, Bootstrap, and Permutation Testing Part 1.

               A discussion of resampling techniques to estimate standard error and confidence intervals as well as do hypothesis testing. These methods are very useful for exploring your data and make few assumptions about the underlying distribution.

ZIP with demo files and slide presentation







 

 

31-Mar-2017 RStudio

                RStudio is a free and open-source IDE for R, a programming language for statistical computing and graphics.

ZIP with demo files and slide presentation







 

 

24-Mar-2017 Data Analysis

               A discussion of key guiding principles for any rigorous and honest data analysis. These principles were fueled by years of analyzing mostly behavioral and electrophysiology data, but should extend to all analyses. Topics include: Why Bayesian analyses are (now) awesome, why Frequentist analyses are useful, why Frequentist statistical philosophy is nonsense, and the critical importance of failure.

Slide Presentation







 

 

17-Mar-2017 Graph Theory

                Learn about how graphs can help you understand brain networks and how you can use computers to analyse the produced graphs.

Slide Presentation







 

 

10-Mar-2017 AAVs

               Adeno-Associated Virus!

Slide Presentation







 

 

03-Mar-2017 Computer Vision

               Crash course on Computer Vision.

ZIP with demo files and slide presentation







 

 

24-Feb-2017 Light Sheet Microscopy

               Light Sheet Microscopy.

Not Available







 

 

17-Feb-2017 GCaMP

               Imaging brain activity with Calcium Imaging.

Slide Presentation







 

 

10-Feb-2017 Mouse Genetics

               Everything you wanted to know on mouse genetics..

Slide Presentation







 

 

03-Feb-2017 Machine Learning

               Machine Learning with MatLab.

ZIP with demo files and slide presentation









 

 

27-Jan-2017 FLIM

               Fluorescence lifetime imaging microscopy.







 

 

20-Jan-2017 Spike Sorting

               Sorting Spikes.

Not Available







 

 

09-Dec-2016 Deconvolution

               Deconvolution. Sharpening images.

Not Available







 

 

02-Dec-2016 Lab View

               Developing with Lab View.

Not Available







 

 

25-Nov-2016 Raspberry Pi

               Basics on Raspberry Pis and their Cameras.

ZIP with demo files and slide presentation







 

 

04-Nov-2016 ImageJ Macros

               Simple ways to automate your image analysis using the indispensable ImageJ.

Slide Presentatioin







 

 

28-Oct-2016 3D Models with Solidworks

                Learn the basics of 3D modelling in Solidworks.

Slide Presentation







 

 

21-Nov-2016 App Development in Python

                Tips and tricks to building a scientific app using PyCharm.

Slide Presentation







 

 

14-Nov-2016 Mendeley and Ref Management

                How-to guide to manage papers and references with Mendeley.

Slide Presentation







 

 

07-Oct-2016 Git and Github

                Learn git for software version control.

Slide Presentation







 

 

30-Sep-2016 Animations and Illustrations

                A discussion of different software (notably inkscape and blender) used to create animations for science communication.

Not Available







 

 

23-Sep-2016 Intro to Databinge

                Open to all UBC labs. Databinge is an interactive drop-in meeting for neuroscientists with the goal of furthering training and collaboration. Supported in part by the DMCBH and the Canadian Neurophotonics Platform, our goal is to promote collaboration, emphasise practical know-how via the use of UBC licensed and open-source software, and sharing of protocols. Each Friday we will have an open house in which interested labs can have a data show-and-tell, problem solving session, and/or technique presentation, including interactive analysis using the facilities of the NINC. We encourage the use of MatLab, ImageJ, Python, and LabView as well as cloud-based data storage/software archiving to facilitate sharing amongst labs. Located at Koerner F103, anyone interested can drop-in and experience Databinge. Presenters offer demo files to aid in the understanding of large topics, and pizza is handed out at 4:30pm every meeting.

Check the calendar for upcoming meetings!







 

 

20-Oct-2017 Illustrator/Inkscape

                Using spftware such as Inkscape and Illustrator to create vector graphics for figures.

Slide Presentation