9:13 The Human Brain: A Story of Navigation, Brain Architecture, and Cognitive Neuroscience

Overview

In this MIT OpenCourseWare lecture, Nancy Kanwisher tells a gripping true story about a friend with a brain tumor, using it to illustrate how the brain is anatomically organized and how specific regions underpin distinct mental abilities. The talk then lays out the framework for the course, explaining why we study the brain, how we study it, and what topics and methods students will explore.

Key insights

• Brain regions can be highly specialized, with damage producing selective cognitive deficits while leaving IQ largely intact.
• Navigation and scene understanding are linked to specific brain areas near the parahippocampal region and retrosplenial cortex, highlighting brain-mind mapping.
• The talk contrasts low-tech behavioral observations with high-tech imaging, neurophysiology, and brain imaging to study cognition.
• The course emphasizes reading current research papers and developing the ability to dissect scientific studies critically.

Why Study the Brain

The lecturer offers four major motivations for understanding the brain: first, to know oneself since the brain underpins identity; second, to understand the limits of human knowledge and the epistemic value of studying cognition; third, to inform artificial intelligence by comparing human and machine capabilities; and fourth, to pursue the grand intellectual quest of understanding the mind-brain relationship. These themes frame the course as a blend of theory, method, and critical engagement with cutting-edge research. The talk also emphasizes that the brain’s architecture both reflects and conditions mental faculties, so studying its structure can illuminate how cognition arises and changes across development and injury.

How We Study the Brain

The course foregrounds a hierarchy of levels of analysis, from molecules and neurons to circuits and large networks, but centers on the question: how does the brain give rise to the mind? To answer this, the instructor outlines a cognitive-neuroscience workflow: define the mind’s functions (perception, language, numbers, social cognition), identify the brain regions that implement those functions, and examine the when and how of information representation. A wide array of methodologies is discussed, including neuropsychology, functional MRI, single-cell physiology, electrophysiology, EEG/MEG, and diffusion imaging to map connectivity. The emphasis is on understanding the strengths and limits of each method and how they complement one another in constructing theories of mind and brain.

Course Structure and Topics

The course aims to equip students to read current primary literature and to design experiments. It covers high-level vision, language, number processing, social cognition, navigation, and the relationships among brain networks. While subcortical systems and some motor control topics receive less emphasis, the curriculum prioritizes cortical functions relevant to conscious perception and cognition. The instructor also previews a dynamic schedule with guest lectures, a major written assignment to design an experiment, and opportunities to engage with deep nets and AI as tools for thinking about cognition. The overall arc moves from perception and scene understanding toward higher-level cognition and social insight, culminating in attention, awareness, and brain networks.