Recorded:
Dec 15, 2017
Uploaded:
December 15, 2017
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Jeff Hawkins
Jeff Hawkins, Co-Founder, Numenta
Abstract: In this talk I will describe a theory that sensory regions of the neocortex process two inputs. One input is the well-known sensory data arriving via thalamic relay cells. We propose the second input is a...
From Motor Control to Scene Perception: Using Machine Learning to Study Human Behavior and Cognition
Recorded:
Dec 1, 2017
Uploaded:
December 7, 2017
Speaker(s):
Akram Bayat
Akram Bayat, UMass Boston
Abstract:
In this presentation, as part of my work at UMass Boston, two dimensions of implementing machine learning algorithms for solving two important real world problems are discussed. In the first part, we model human...
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