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MIT 9.13 The Human Brain, Spring 2019
Instructor: Nancy Kanwisher
Lecture 1: Introduction
Watch the Lecture VideoDownload the PDF of Lecture01 Prof. Kanwisher tells a true story to introduce the course, then covers the why, how, and what of studying the human brain and gives a course overview. {: .prompt-info}
Lecture 2: Neuroanotomy
Watch the Video LectureDownload the PDF Basic brief neuroanatomy review in preparation for dissection, including an introduction to the cortex, primary regions, and topographic maps. {: .prompt-info}
Lecture 4 : Cognitive Neuroscience Methods I
Watch Video LectureDownload the PDF Introduction to methods in cognitive neuroscience including computation, behavior, fMRI, ERPs & MEG, neuropsychology patients, TMS, and intracranial recordings in humans and nonhuman primates. {: .prompt-info}
Lecture 5: Cognitive Neuroscience Methods II
Watch the Video LectureDownload the PDF Methods in cognitive neuroscience continued. {: .prompt-info}
Lecture 6: Introduction to the Human Brain
Watch the video LectureDownload the PDF This session reviews the last two lectures, face recognition, and explores types of experimental methods. {: .prompt-info}
Lecture 7: Category Selectivity, Controversies, and MVPA
Watch the Video Lecture hereDownload the PDF Covers controversies and alternative views of the ventral visual pathway, multiple voxel pattern analysis, and the two visual pathways. {: .prompt-info}
Lecture 8: Navigation I
Watch the Video LectureDownload the PDF The functional organization of scene perception and navigation and the various brain structures that implement them. {: .prompt-info}
Lecture 9: Navigation II
Watch Lecture_09Download the PDF Scene perception and navigation continued. {: .prompt-info}
Lecture 10: Development, Nature & Nurture I
Watch Video LectureDownload the PDF This lecture examines how we think the cortex organizes in the brain over infancy and childhood, and the function of genes vs experience. {: .prompt-tip}
Lecture 11: Development, Nature & Nurture II (2018)
Watch Video LectureDownload the PDF Continues the discussion of genes vs experience on cortical organization, and whether the cortex can change in adulthood. {: .prompt-tip}
Lecture 13: Number
Watch Video Lecture.Download the PDF Explores the nature of the human representation of number and how it is implemented in the brain. NOTE: Lecture 14: New Methods Applied to Number (student breakout groups—video not recorded) {: .prompt-info}
Lecture 15: Hearing and Speech
Watch Video Lecture onlineDownload the PDF Humans use hearing in species-specific ways, for speech and music. Ongoing research is working out the functional organization of these and other human auditory skills. {: .prompt-info}
Lecture 16: Music
Watch Lecture on "Music"Download the PDF The functional organization of music in human beings. NOTE: Lecture 17: MEG Decoding and RSA (video not recorded) {: .prompt-info}
Lecture 18: Language I
Download the PDF Covers the basic organization of language in the brain and the long-standing question of the relationship between thought and language.
- NOTE: Lecture 17: MEG Decoding and RSA (video not recorded)
- NOTE: Lecture 19: Language II (class canceled—video not recorded) {: .prompt-info}
Lecture 20: Theory of Mind & Mentalizing
Download the PDF The ability of humans to think about what other people are thinking is implemented in brain regions highly specialized for this function alone.
NOTE: Lecture 19: Language II (class canceled—video not recorded) {: .prompt-info}
Watch Lecture onlineLecture 21: Brain Networks
Download the PDF Looks at the major white matter tracts in the human brain, predicting function and correlations between regions.
NOTE: Lecture 22: Experimental Design (student breakout groups—video not recorded) NOTE: Lecture 23: Deep Networks (2021) (video will be added soon) {: .prompt-tip}
Watch Video lecturesLecture 24: Attention and Awareness
Watch Video Lecture onlineDownload the PDF Looks at the differences in the mind and brain between perceptual information we are aware of versus information we are not. NOTE: Lecture 23: Deep Networks (2021) (video will be added soon) {: .prompt-tip}