Methods Lunch

Methods lunch is a biweekly lunch meeting for interested PIs, Postdocs, PhD and MSc students. The meeting provides a platform for:

  1. Neuroscientists who would like to discuss and receive input for the design and analysis of their behavioural, neuroimaging or neurophysiological experiment.

  2. Computational scientist presenting new methods to see if they can be useful to the neuroscience community.

  3. Discussing new method papers in Computational Neuroscience / Computational brain imaging.

Meetings are being held every other Monday 12:30-2:00 pm in WIRB 4190 (lunch room)Bring your own lunch!

Upcoming Lunches:




12/10/2018 Jody Culham and Ethan Jackson

Overview of fMRI course tutorials

12/17/2018 Nicolette Noonan

A general introduction and demo for fNIRS

Past Lunches:




11/26/2018 Olivia Stanley and Jordan DeKraker

Introduction to fMRI prep pipeline
Presentation Slides

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
Supplementary material              

11/05/2018 Eva Berlot, Jörn Diedrichsen

Multivariate Pattern Connectivity 
Main paper                  

10/11/2018 Patrick Park

An introduction to BIDS

10/01/2018 Jörn Diedrichsen and Björn Herrmann

Mixed models

Main paper

Jörn Diedrichsen

Encoding models, pattern component modelling, and a little bit of RSA

Main paper

4/03/2017 Etay Hay

Multiregional integration of brain fMRI activity

Main paper

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3/27/2017 Andrea Soddu

A method for independent component graph analysis of resting-state fMRI

Main paper

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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