Neuroscience and Everyday Life
Professor/Instructor
Samuel Sheng-Hung Wang, Alan GelperinAcquaints non-science majors with classical and modern neuroscience. Lectures will give an overview at levels ranging from molecular signaling to cognitive science with a focus on the neuroscience of everyday life, from the general (love, memory, and personality) to the particular (jet lag, autism, and weight loss). The laboratory will offer hands-on experience in recording signals from single neurons, examining neural structures, and analysis of whole-brain functional brain imaging data. Two 90-minute lectures, one laboratory.
Fundamentals of Neuroscience
Professor/Instructor
Ilana Basya WittenThis is a survey course in neurobiology which takes a mechanistic and reductionist perspective to cover important topics in the field, including the physiological basis of neural excitability, sensory and motor processing, learning and memory, and neuropsychiatric diseases.
Introduction to Cognitive Neuroscience
Professor/Instructor
Matthew M. BotvinickAn introduction to cognitive brain functions, including higher perceptual functions, attention and selective perception, systems for short- and long-term memory, language, cerebral lateralization, motor control, executive functions of the frontal lobe, cognitive development and plasticity, and the problem of consciousness. Major neuropsychological syndromes (e.g., agnosia, amnesia) will be discussed. Prerequisite: 258 or instructor's permission. Two 90-minute lectures, one preceptorial.
Memory and Cognition
Professor/Instructor
Kenneth Andrew NormanEmpirical facts, theoretical issues, and scientific techniques in the area of human memory. Potential topics include models of memory, eyewitness testimony, comprehension, representation of knowledge, autobiographical memory, reality monitoring, amnesia, and other disorders of memory and cognition. Two lectures, one preceptorial. Prerequisite: 255 or 259, or instructor's permission.
Computational Modeling of Psychological Function
Professor/Instructor
Kenneth Andrew NormanA fundamental goal of cognitive neuroscience is to understand how psychological functions such as attention, memory, language, and decision making arise from computations performed by assemblies of neurons in the brain. This course will provide an introduction to the use of connectionist models (also known as neural network or parallel distributed processing models) as a tool for exploring how psychological functions are implemented in the brain, and how they go awry in patients with brain damage. Prerequisite: instructor's permission. Two 90-minute lectures, one laboratory.
The Diversity of Brains
Professor/Instructor
Asif A. GhazanfarA survey of the unique behaviors of different animal species and how they are mediated by specialized brain circuits. Topics include, for example, monogamy in voles, face recognition in primates, sex- and role-change in fish, and predation by bats. The role of evolutionary and developmental constraints on neural circuit construction will be a key underlying theme. Prerequisites: 258 or 259. One three-hour seminar.
Cellular and Systems Neuroscience
Professor/Instructor
Timothy J. Buschman, Ilana Basya WittenA survey of fundamental principles in neurobiology at the biophysical, cellular, and system levels. Lectures will address the basis of the action potential, synaptic transmission and plasticity, local circuit computation, sensory physiology, and motor control. Prerequisites: MOL 214 or MOL 215, PSY 258, PHY 103-104, and MAT 103-104, or permission of instructor. Two 90-minute lectures, one preceptorial.
Depression: From Neuron to Clinic
Professor/Instructor
This course focuses on clinical depression as a model topic for scientific discourse. Depression is a subject of growing individual and societal importance, and it is an ideal topic because it intersects such a broad range of issues. Our work will emphasize a neurobiological approach, with topics ranging from the molecular to the clinical. Prerequisites: 208 or 258, or EEB 211, or MOL 214, and instructor's permission. One three-hour seminar.
Computational Neuroscience
Professor/Instructor
Carlos D. BrodyIntroduction to the biophysics of nerve cells and synapses, and the mathematics of neural networks. How can networks of neurons compute? How do we model and analyze data from neuroscientific experiments? Data from experiments running at Princeton will be used as examples (e.g., blowfly visual system, hippocampal slice, rodent prefrontal cortex). Each topic will have a lecture and a computer laboratory component. Prerequisite: MOL 410, or elementary knowledge of linear algebra, differential equations, probability, and basic programming ability, or permission of the instructor. Two 90 minute lectures, one laboratory.
Neuroimmunology: Immune Molecules in Normal Brain Function and Neuropathology
Professor/Instructor
Lisa M. BoulangerIn this course, we will explore the diverse and complex interactions between the brain and the immune system from the perspective of current, cutting-edge research papers. In particular, we will focus on the molecular mechanisms of these interactions and their role in brain development and function as well as their potential contributions to specific neurological disorders, including autism. In the process, students will learn to read, critically evaluate, and explain in presentations the content of articles from the primary literature. Prerequisites: MOL 214/215.
Cellular and Circuits Neuroscience
Professor/Instructor
Mala MurthyA survey of modern neuroscience in lecture format combining theoretical and computational/quantitative approaches. Topics include cellular neurophysiology, neuroanatomy, neural circuits and dynamics, neural development and plasticity, sensory systems, genetic model systems, and molecular neuroscience. This is one-half of a double-credit core course required of all Neuroscience Ph.D. students.
Neuroscience: From Molecules to Systems to Behavior
Professor/Instructor
David W. Tank, Alan Gelperin, Anthony E. AmbrosiniThis lab course complements NEU 501A and introduces students to the variety of techniques and concepts used in modern neuroscience, from the point of view of experimental and computational/quantitative approaches. Topics will include synaptic transmission, fluorescent and viral tracers, patch clamp recording in brain slices, optogenetic methods to control neural activity, and computational modeling approaches. In-lab lectures give students the background necessary to understand the scientific content of the labs, but the emphasis is on the labs themselves. Second half of a double-credit core course required of all NEU Ph.D. students.
From Molecules to Systems to Behavior
Professor/Instructor
Timothy J. BuschmanA survey of modern neuroscience in lecture format combining theoretical and computational/quantitative approaches. Topics include systems and cognitive neuroscience, perception and attention, learning and behavior, memory, executive function/decision-making, motor control and sequential actions. Diseases of the nervous system are considered. This is one-half of a double-credit core course required of all Neuroscience Ph.D. students.
From Molecules to Systems to Behavior
Professor/Instructor
Jonathan D. Cohen, Leigh Erik Nystrom, Mark A. PinskThis lab course complements NEU 502A and introduces students to the variety of techniques and concepts used in modern neuroscience, from the point of view of experimental and computational/quantitative approaches. Topics include electrophysiological recording, functional magnetic resonance imaging, psychophysics, and computational modeling. In-lab lectures give students the background necessary to understand the scientific content of the labs, but the emphasis is on the labs themselves. Second half of a double-credit core course required of all Neuroscience Ph.D. students.
Neurogenetics of Behavior
Professor/Instructor
Coleen T. Murphy, Mala MurthyHow do seemingly simple organisms generate complex behaviors? Course will explore our current understanding of the genetic and neural basis for animal behavior, with an emphasis on cutting-edge research and model systems that are amenable to genetic manipulation. Each week students will discuss a new behavior with a focus on the underlying mechanisms; students will also lead discussions of primary literature. The goal of this course is to provide required background knowledge and critical thinking skills to move beyond the published literature to proposing original experiments. This effort will culminate in a final paper from each student.
Current Issues in Neuroscience and Behavior
Professor/Instructor
Nathaniel Douglass Daw, Catherine Jensen Peña, Mala MurthyAn advanced seminar that reflects current research on the brain and behavior. Research by seminar participants and articles from the literature are discussed.
Computational Neuroscience and Computing Networks
Professor/Instructor
Carlos D. BrodyAn introduction to the biophysics of nerve cells and synapses, the mathematical description of neural networks, and how neurons represent information. This course surveys computational modeling and data analysis methods for neuroscience and parallels some topics from 549, but from a computational perspective. Topics include representation of visual information, spatial navigation, short-term memory, and decision-making. Two 90 minute lectures, one laboratory. Lectures in common with MOL 437. Graduate students carry out and write up an in-depth semester-long project. Prerequisite: 410, or elementary knowledge of linear algebra.
Responsible Conduct of Research (Half-Term)
Professor/Instructor
Susan Tufts FiskeExamination of issues in the responsible conduct of scientific research, including the definition of scientific misconduct, mentoring, authorship, peer review, grant practices, use of humans and of animals as subjects, ownership of data, and conflict of interest. Class will consist primarily of the discussion of cases. Required of all first and second year graduate students in the Department of Psychology. Open to other graduate students.