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 Middlesex College (room 316). Bring your own lunch!


Upcoming Lunches:

There are no upcoming talks at this time, please check back soon.

Past Lunches:

Date

Speaker

Title

4/03/2017 Etay Hay

Multiregional integration of brain fMRI activity

Main paper

Add to calendar

3/27/2017 Andrea Soddu

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

Main paper

Add to calendar

01/30/2017 Marc Joanisse

Task-free fmri predicts indivdual differences in brain activity during task performance

Main paper

Supplemental Methods

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
Presentation
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
Main Paper
Supplementary Reading
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
Main Paper
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