Recorded:
Nov 17, 2017
Uploaded:
November 30, 2017
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Klaus-Robert Müller
Klaus-Robert Müller, Technische Universität Berlin
Abstract: In recent years, machine learning (ML) and artificial intelligence (AI) methods have begun to play a more and more enabling role in the sciences and in industry. In particular, the advent...
Recorded:
Jul 12, 2017
Uploaded:
November 7, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Variability between people, in the precise anatomical and functional brain architectures pose a challenge for performing group analyses that integrate fMRI data across multiple subjects in fMRI experiments. This final tutorial...
Recorded:
Jul 12, 2017
Uploaded:
November 6, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
This tutorial addresses the problem of multiple comparisons, which arises in the analysis of fMRI data when hypothesis tests are performed over many voxels spanning a large area of the brain, in order to determine where there are...
Recorded:
Jul 12, 2017
Uploaded:
November 3, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Introduction to representational similarity analysis (RSA), which uses measures of the similarity of pairs of distributed patterns of fMRI responses to multiple stimulus conditions, in selected regions of interest (ROIs), to...
Recorded:
Jul 12, 2017
Uploaded:
November 3, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Elaboration on the classification step in fMRI analysis, in which the particular stimulus condition(s) present in a given experimental trial are learned from the observed fMRI responses of a set of voxels, enabling prediction of...
Recorded:
Jul 12, 2017
Uploaded:
November 2, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe, MIT
Continuation of the introduction to multivariate analysis techniques for fMRI data, which focuses on how and why particular voxels are selected for this analysis. For example, a certain group of voxels may be a hypothesized...
Recorded:
Oct 27, 2017
Uploaded:
November 1, 2017
CBMM Speaker(s):
Joshua Tenenbaum, James DiCarlo, Josh McDermott, Nancy Kanwisher, Samuel Gershman
Speaker(s):
Niko Kriegeskorte, Talia Konkle
Host/Moderator: Josh Tenenbaum
Panelists: Nancy Kanwisher, James DiCarlo, Josh McDermott, Sam Gershman, Niko Kriegeskorte, Talia Konkle
Recorded:
Oct 13, 2017
Uploaded:
October 31, 2017
CBMM Speaker(s):
Alan L. Yuille
Alan Yuille, Johns Hopkins University
Recorded:
Oct 20, 2017
Uploaded:
October 31, 2017
Speaker(s):
Alison Gopnik
Alison Gopnik, UC Berkeley
Recorded:
Jul 11, 2017
Uploaded:
October 30, 2017
Part of
fMRI Bootcamp
CBMM Speaker(s):
Rebecca Saxe
Rebecca Saxe - MIT
Introduction to multivariate techniques for analyzing fMRI data, which represent and evaluate the correlation of fMRI activation across brain regions, in contrast to the voxel-by-voxel univariate analysis method, and the...