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Introduction to The Human Brain
Jul 7, 2024
Lecture Notes: Introduction to The Human Brain (9.13)
Instructor: Nancy Kanwisher
Overview
Course Title
: The Human Brain (9.13)
Instructor
: Nancy Kanwisher
Topics Covered
: Introduction story, course agenda, why/how/what of studying the brain, course mechanics, and syllabus overview.
Key Themes
: Brain structure and function, specialized brain regions, recovery after brain damage, and various methods of studying the brain.
Agenda for the Lecture
Brief Story (10 minutes)
The Why, How, and What of studying the brain
Course Mechanics and Details
Syllabus Overview
Brief Story
Story Context
: Personal story to foreshadow themes in the course
Key Themes
:
Medical incident with a friend (Bob)
Revelations about brain function and brain damage
The specific problem of navigation ability and its connection to brain structure (para hippocampal Place area)
Neuroplasticity and the lack of recovery in specific brain functions
Main Points from the Story
Incident
: Bob collapsed, confusion about the cause
ER Visit
: MRI revealed a lime-sized growth in the brain near the para hippocampal Place area
Symptoms
: Long-standing navigational deficits
Medical Expertise
: Importance of specialized neurosurgeons
Outcome
: Successful surgery but no recovery of navigational abilities
Why Study the Human Brain?
Self-Understanding
: Knowing the brain helps us understand ourselves and our identity.
Limits of Knowledge
: Understanding cognitive limitations and human knowledge.
Advancing AI
:
Recent progress with deep Nets in visual recognition and other AI applications.
Still significant gaps between human and AI capabilities in general understanding.
Intellectual Quest
: The brain as the greatest intellectual challenge.
How to Study the Human Brain?
Levels of Organization
:
Molecules, neurons, circuits, brain regions, and networks.
Focus on the Course
: Linking the brain with the mind, especially from high-level cognitive functions.
Key Questions
:
Specialized machinery for mental functions?
Information representation in the brain?
Timing and mechanisms of these representations?
Methods in Studying the Brain
Behavioral Observations
: Simple yet powerful
Neuropsychology
: Studies on brain-damaged patients (like Bob)
Functional Imaging (fMRI)
Neurophysiology and EEG
Connectivity Measures (Diffusion Tractography)
Structure of the Course
Lecture Topics
: Development, perception, high-level vision, auditory processes, language, theory of mind, cognitive neuroscience methods, and more.
Approach
: Combination of basic and advanced cognitive neuroscience methods to discuss various mental functions and their brain basis.
Key Lecture Topics Include:
Visual & Auditory Perception
Navigation
Language Understanding
Theory of Mind (thinking about others)
Brain Networks
Attention and Awareness
Practical Details
Grading
: Midterm (25%), Final (25%), Reading and Writing Assignments, In-class Quizzes
Assignments
: Reading current research papers, short written responses to readings.
Class Schedule
: Detailed in the syllabus, listed by lecture topics and key dates.
First Quiz
: February 20th
Special Elements of the Course
Guest Lectures
: Including brain-machine interfaces, deep Nets, etc.
Practical Sessions
: Brain dissection by Ann Graybiel, real-time experiment design, etc.
Readings
: Focus on recent research articles rather than textbooks.
Learning Goals
Big Questions
: Understand theoretical stakes in major field questions.
Methodological Understanding
: Different techniques and their contributions.
Cross-Topic Knowledge
: Specifically in cognition like face recognition, navigation, number perception, music, and language.
Reading Scientific Papers
: Developing skills to read and understand current research.
How to Read a Scientific Paper
Identify Key Questions
: What is the research question?
Find Main Findings
: What did the study discover?
Interpretation
: Why do these findings matter?
Design
: What methods were used?
Gobbledygook Caveat
: Ignore complex technical details not necessary for basic understanding.
Analysis
: Understand how data was analyzed and its significance.
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