COMP Methods Lunch
Methods lunch is a biweekly lunch meeting for interested PIs, Postdocs, PhD and MSc students. The meeting provides a platform for:
- Neuroscientists who would like to discuss and receive input for the design and analysis of their behavioural, neuroimaging or neurophysiological experiment.
- Computational scientists presenting new methods to see if they can be useful to the neuroscience community.
- Discussing new method papers in Computational Neuroscience / Computational brain imaging.
Meetings are scheduled on Mondays 12:30-2:00 pm in WIRB 4190 (lunch room). Bring your own lunch!
Upcoming Lunches:
Date(s) |
Speaker |
Title |
| 11/27/2023 | Suzanne Witt |
Demystifying the fMRIPrep output HTML file |
| TBA | TBA |
TBA
|
Past Lunches:
Date(s) |
Speaker |
Title |
| 10/02/2023 | Kristi Thompson |
An introduction and demo to BOREALIS Supplementary material: |
| 09/25/2023 | Suzanne Witt and Tristan Kuehn |
Data sharing and data repositories: An introduction to the FAIR principles Supplementary material: |
| 09/18/2023 | Suzanne Witt and Tristan Kuehn |
BIDS and autobids: How to make your neuroimaging data shareable Supplementary material: |
| 09/11/2023 | Tristan Kuehn and Suzanne Witt |
An introduction to the CBS Server: A getting started tutorial for new users Supplementary material: An introduction to the CBS Server: A getting started tutorial for new users |
| 04/24/2023 | Tristan Kuehn and Suzanne Witt |
Advanced Git and GitHub: version control, git actions, etc.
|
| 04/10/2023 | Brad Karat and Mohamed Yousif |
Hippnfold: an automated tool for modeling the topological folding structure of the human hippocampus
|
| 03/27/2023 | Tristan Kuehn and Jason Kaib |
Automating your analysis code with workflows Supplementary material: |
| 02/06/2023 | Tristan Kuehn |
Python code design and documentation: increasing the usability of your code Supplementary material: |
| 01/31/2023 | Research and Scholarly Communications |
Open Access Publishing
|
| 11/14/2022 | Ali Khan |
Containers for Science
|
| 10/03/2022 | Suzanne Witt and Tristan Kuehn |
BIDS and autobids - how to make research data shareable
|
| 09/19/2022 | Suzanne Witt and Tristan Kuehn |
CBS Server - best practices and live demo Supplementary: Recording coming soon |
| 02/14/2022 | Jörn Diedrichsen and Ali Khan |
Theory and practicals of image normalization Supplementary: |
| 02/07/2022 | Suzanne Witt |
Understanding the fMRIPrep html output file Supplementary: |
| 11/15/2021 | Matthias Nau |
DeepMReye: magnetic resonance-based eye tracking using deep neural networks Supplementary: |
| 10/18/2021 | Suzanne Witt and Tristan Kuehn |
Intro to CBS Server Supplementary: |
| 09/27/2021 | Suzanne Witt |
BIDS and autobids Supplementary: |
| 09/28/2020 | Lien Peters, Eric Wilkey, Suzanne Witt, Mojtaba Soltenlou, Tristan Kuehn |
Barriers to Open Science: a roundtable discussion Supplementary material: |
| 05/11/2020 | Jörn Diedrichsen |
Backpropagation and the brain Supplementary material: |
| 02/10/2020 | Joe Gati, Kyle Gilbert |
Annual CFMM 7T users roundtable |
| 12/16/2019 | Marieke Mur |
Analyzing multivariate responses patterns with factorial models |
| 12/02/2019 | Steve Van Hedger, Paul Minda |
An introduction to running web-based experiments using PsychoPy, jsPsych, and Pavlovia Supplementary material: |
| 11/04/2019 | HU Yang, Jörn Diedrichsen |
Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience Supplementary material: |
| 10/28/2019 | Igor Solovey, Alan Kuurstra |
Introduction to GIT Supplementary material: |
| 10/07/2019 | Suzanne Witt |
An introduction to fmriPrep Supplementary material: fMRIPrep: a robust preprocessing pipeline for functional MRI |
| 09/30/2019 | Spencer Arbuckle, Jörn Diedrichsen |
How to implement a (valid) shuffling or randomization test for your experiment. |
| 09/23/2019 | Suzanne Witt |
BIDS (Brain Imaging Data Structure): what, why, and how Supplementary material: EEG-BIDS, an extension to the brain imaging data structure for electroencephalography MEG-BIDS, the brain imaging data structure extended to magnetoencephalography |
| 09/09/2019 | Suzanne Witt |
Welcome back: soliciting suggestions for future Methods Lunches |
| 06/24/2019 | J. Bruce Morton, Daamoon Ghahari |
Singular value decomposition (SVD) analysis Supplemental material: |
| 06/17/2019 | Marieke Mur, Spencer Arbuckle |
Analysis of neuronal population dynamics II Supplemental material: Neural population dynamics during reaching Demixed principal component analysis of neural population data |
| 05/27/2019 | Jorn Diedrichsen, Suzanne Witt |
Surface based analysis toolbox Links: |
| 06/03/2019 | Marieke Mur, Spencer Arbuckle |
Analysis of neuronal population dynamics I Link: |
| 03/18/2019 | Marieke Mur |
Representational component modeling |
| 03/04/2019 | Round table discussion |
CFMM 7T MRI users round table |
| 02/25/2019 | Marieke Mur |
Deep neural networks |
| 02/11/2019 | Suzanne Witt |
NiPy - Neuroimaging Python Package |
| 02/04/2019 | Suzanne Witt |
Part I - Welcome back / Part II - How to register your study for automatic BIDS conversion |
| 01/28/2019 | Ladan Shahshahani, Jörn Diedrichsen |
Time Delay Analysis |
| 12/17/2018 | Nicolette Noonan |
A general introduction and demo for fNIRS |
| 12/10/2018 | Jody Culham and Ethan Jackson |
Overview of fMRI course tutorials |
| 11/26/2018 | Olivia Stanley and Jordan DeKraker |
Introduction to fMRI prep pipeline |
| 11/19/2018 | Jörn Diedrichsen, Daniel Ansari, and Erin Heerey |
Bayesian ANOVA II |
| 11/12/2018 | Jörn Diedrichsen, Daniel Ansari, and Erin Heerey |
Bayesian ANOVA I |
| 11/05/2018 | Eva Berlot, Jörn Diedrichsen |
Multivariate Pattern Connectivity |
| 10/11/2018 | Patrick Park |
An introduction to BIDS |
| 10/01/2018 | Jörn Diedrichsen and Björn Herrmann |
Mixed models |
| 5/07/2018 4/23/2018 |
Jörn Diedrichsen |
Encoding models, pattern component modelling, and a little bit of RSA |
| 4/03/2017 | Etay Hay |
Multiregional integration of brain fMRI activity |
| 3/27/2017 | Andrea Soddu |
A method for independent component graph analysis of resting-state fMRI |
| 01/30/2017 | Marc Joanisse |
Task-free fmri predicts indivdual differences in brain activity during task performance |
| 01/23/2017 | Emma Holmes |
Neural representations of familiar voices |
| 11/07/2016 | Culham Lab | Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates Main Paper |
| 10/24/2016 | Alex Billig / Johnsrude | Decoding neural representations of ambiguous speech |
| 10/17/2016 | Cusak Lab | Parametric statistics for inter-subject correlations |
| 10/03/2016 | Diedrichsen Lab | Could a Neuroscientist understand a microprocessor? Main Paper |
| 6/06/16 | Naveed Ejaz (Diedrichsen lab) | Neural correlates of single-vessel haemodynamic responses in vivo Main Paper |
| 4/11/16 | Ali Khan & Jon Lau | Regional homogeneity as a functional marker in epilepsy |
| 4/04/16 | Cusack & Diedrichsen | How to best model temporal autocorrelations for fast functional acquisitions |
| 3/28/16 | Katheryn Manning | Longitudinal repeated-measures study designs: how to analyze efficiently with missing data |
| 3/14/16 | Diedrichsen | Randomisation testing |
| 3/07/16 | Avital Sternin | Music Perception & Deep Learning Classification |
| 2/08/16 | Jessica Grahn | Discussion of the paper: Norman-Haignere S, Kanwisher NG, McDermott JH (2015) Distinct Cortical Pathways for Music and Speech Revealed by Hypothesis-Free Voxel Decomposition. Neuron 88:1281-1296. |
| 1/18/16 | Bruce Morton | A pipeline for conducting whole-brain dynamic functional connectivity fMRI analyses: when it works and when it breaks down |
| 12/7/15 | Diedrichsen Lab | Representational Spaces |
| 11/23/15 | Martinez Lab | Multivariate Analysis of Spiking Data |
