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Recorded:
Aug 15, 2018
Uploaded:
August 15, 2018
Part of
Publication Releases
CBMM Speaker(s):
Gabriel Kreiman, Martin Schrimpf
Prof. Gabriel Kreiman (Boston Children's Hospital, Harvard Medical School) and graduate student Martin Schrimpf (now a PhD candidate in the Brain and Cognitive Sciences Department at MIT) describe some of the key components to their latest paper...
Recorded:
Aug 12, 2018
Uploaded:
August 14, 2018
Part of
Brains, Minds and Machines Summer Course 2018
Speaker(s):
Nikos K. Logothetis
Nikos K. Logothetis, Max Planck Institute for Biological Cybernetics in Tübingen
Overview of the integration of concurrent physiological multi-site recordings with fMRI imaging, and it application to the study of dynamic connectivity related...
Overview of the integration of concurrent physiological multi-site recordings with fMRI imaging, and it application to the study of dynamic connectivity related...
Recorded:
Aug 13, 2018
Uploaded:
August 13, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Ethan Meyers
Ethan Meyers, Hampshire College/MIT
Introduction to neural decoding methods to study the neural representations of sensory information in the brain to support recognition, their modulation by task-relevant information from top-down attention,...
Introduction to neural decoding methods to study the neural representations of sensory information in the brain to support recognition, their modulation by task-relevant information from top-down attention,...
Recorded:
Aug 12, 2018
Uploaded:
August 12, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Andrei Barbu
Andrei Barbu, MIT
Overview of some challenges still facing the design of general computer vision systems, traditional image processing operations and applications of machine learning to visual processing. Download the tutorial slides (PDF)
Overview of some challenges still facing the design of general computer vision systems, traditional image processing operations and applications of machine learning to visual processing. Download the tutorial slides (PDF)
Recorded:
Aug 12, 2018
Uploaded:
August 12, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Ethan Meyers
Ethan Meyers, Hampshire College/MIT
Overview of statistics including descriptive statistics, data plots, sampling distributions, statistical inference, estimation, regression, confidence intervals, and hypothesis testing. Download the tutorial...
Overview of statistics including descriptive statistics, data plots, sampling distributions, statistical inference, estimation, regression, confidence intervals, and hypothesis testing. Download the tutorial...
Recorded:
Aug 12, 2018
Uploaded:
August 12, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Yen-Ling Kuo
Speaker(s):
Eugenio Piasini
Eugenio Piasini, UPenn & Yen-Ling Kuo, MIT
Overview of supervised learning with neural networks, convolutional neural networks for object recognition, and recurrent neural networks, with a brief introduction to other deep learning models...
Overview of supervised learning with neural networks, convolutional neural networks for object recognition, and recurrent neural networks, with a brief introduction to other deep learning models...
Recorded:
Aug 11, 2018
Uploaded:
August 12, 2018
Part of
Brains, Minds and Machines Summer Course 2018
Speaker(s):
Kohitij Kar
Kohitij Kar, MIT
Models for encoding and decoding visual information from neural signals in the ventral pathway that underlie core object and face recognition, testing neural population decoding models to explain human and monkey behavioral...
Models for encoding and decoding visual information from neural signals in the ventral pathway that underlie core object and face recognition, testing neural population decoding models to explain human and monkey behavioral...
Recorded:
Aug 12, 2018
Uploaded:
August 12, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Kevin Smith
Kevin Smith, MIT
Introduction to optimization focused on basic concepts, terminology, and its applications. Topics include likelihood and cost functions, single and multi-variable optimization, and optimization for machine learning (stochastic...
Introduction to optimization focused on basic concepts, terminology, and its applications. Topics include likelihood and cost functions, single and multi-variable optimization, and optimization for machine learning (stochastic...
Recorded:
Aug 11, 2018
Uploaded:
August 12, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Pouya Bashivan
Pouya Bashivan, MIT
Overview of the visual pathways from the retina to higher cortical areas; approaches to modeling neural behavior including spike triggered averaging, linear-nonlinear methods, generalized linear models, Gabor filters and...
Overview of the visual pathways from the retina to higher cortical areas; approaches to modeling neural behavior including spike triggered averaging, linear-nonlinear methods, generalized linear models, Gabor filters and...
Recorded:
Aug 11, 2018
Uploaded:
August 11, 2018
Part of
Brains, Minds and Machines Summer Course 2018
CBMM Speaker(s):
Andrei Barbu
Andrei Barbu, MIT
Introduction to probability, covering uncertainty, simple statistics, random variables, independence, joint and conditional probabilities, probability distributions, Bayesian analysis, graphical models, mixture models, and...
Introduction to probability, covering uncertainty, simple statistics, random variables, independence, joint and conditional probabilities, probability distributions, Bayesian analysis, graphical models, mixture models, and...