Core Courses (completed in first year)INP 511/INP 512, Lab Rotation for First-Year Students
Required for all first-year Neuroscience graduate students. Rotation period is one term. Grading is Sat/Unsat based on PI’s rotation evaluation.
INP 580, Bioethics in Neuroscience
This course is an introduction to ethics and ethical decision-making in the Neurosciences. Format for the course is an informal discussion. Each week, we will be joined by members of the Yale faculty and community who can share their experiences and expertise as it relates to the topic of the week. This course is mandatory for first year graduate students in the Interdepartmental Neuroscience Program (INP). Grading is Sat/Unsat and is determined based on attendance/participation, weekly questions submitted based on assigned readings and a final term paper and presentation.
INP 701, Principles of Neuroscience
Angeliki Louvi, Will Cafferty
General neuroscience seminar: Lectures, readings and discussion of selected topics in neuroscience. Emphasis will be on how approaches at the molecular, cellular, physiological and organismal levels can lead to understanding of neuronal and brain function. Course is restricted to graduate students.
INP 702, Foundations of Cellular and Molecular Neurobiology
Michael Higley, Janghoo Lim
This is a one-semester course for 1st-year INP graduate students (only). The course will meet for 1.5 hrs on T/F. Each class will comprise lectures from faculty in the greater Neuroscience community, covering a comprehensive overview of cellular and molecular concepts in neuroscience. Grading will be based on three exams. Each exam will cover one third of the course (Cell Biology, Electrophysiology, and Synaptic Function) and consist of a one-week, take-home set of short answer/essay questions.
INP 703, Foundations of Systems Neuroscience
Amy Arnsten, Michael Crair
An examination of the neural circuits that subserve sensory, motor, cognitive and affective function, and their relationships to human disorders. A comparative species approach will be used to highlight the evolution of neural circuits and their functions.
INP 704, Comparative Neuroanatomy
Caroline Zeiss, Charles Greer
This laboratory-based course will examine the fundamental structural organization of the brain in a comparative context. For example, principles of the organization of systems and circuits will be compared across human and non-human primates and rodents. Labs will also explore the organization of the nervous system in zebrafish, drosophila and c. elegans. The course is intended only for graduate students enrolled in the Interdepartmental Neuroscience Graduate Program and complements the lecture based course entitled Foundations of Systems Neuroscience. Grading is Sat/Unsat.
Core Course (completed in second year)INP 513/INP 514, Second Year Thesis Research
Required for all second-year INP graduate students. Both terms required. Grading is Sat/Unsat based on PI’s certification.
Elective CoursesINP 504/MCDB 735, Seminar in Brain Development & Plasticity
Weekly seminars (Monday) and discussion sessions (Wednesday) to explore recent advances in our understanding of brain development and plasticity, including neuronal determination, axon guidance, synaptogenesis and developmental plasticity.
INP 507, Cellular and Molecular Mechanisms of Neurological Diseases
Sreeganga Chandra, Will Cafferty
This course focuses on diseases such as Alzheimer’s, Parkinson’s, Schizophrenia, Multiple Sclerosis, and Epilepsy, in which modern neuroscience has advanced mechanistic explanations for clinical conditions. The course will highlight recent genetic, molecular, electrophysiological, and imaging experiments in parsing disease mechanisms.
INP 510, Structural and Functional Organization of the Human Nervous System
Michael Schwartz, Charles Greer
An integrative overview of the structure and function of the human brain pertaining to major neurological and psychiatric disorders. Neuroanatomy, neurophysiology, and clinical correlations are interrelated to provide essential background in the neurosciences. Lectures in neurocytology and neuroanatomy survey neuronal organization in the human brain, with emphasis on long fiber tracts related to clinical neurology. Weekly three-hour laboratory sections in close collaboration with faculty members. Lectures in neurophysiology cover various aspects of neural function at the cellular level, with a strong emphasis on the mammalian nervous system. Clinical correlations consist of five sessions given by one or two faculty members representing both basic and clinical sciences. These sessions relate neurological symptoms to cellular processes in various diseases of the brain. Variable class schedule; contact course instructor. Registration for this course is by permission of the instructor.
INP 519, Tutorial
By arrangement with faculty and approval of DGS.
INP 521, Neuroimaging in Neuropsychiatry II: Clinical Applications
Neuroimaging methodologies including Positron Emission Tomography (PET); Single Photon Emission Computed Tomography (SPECT); Magnetic Resonance Imaging (MRI); functional Magnetic Resonance Imaging (fMRI); Magnetic Resonance Spectroscopy (MRS) are rapidly evolving tools used to study the living human brain. Neuroimaging has unprecedented implications for routine clinical diagnosis, for assessment of drug efficacy; for determination of psychotropic drug occupancy and for the study of pathophysiological mechanisms underlying neurologic and psychiatric disorders. This course is designed to provide an overview the application of state of the art neuroimaging methods to research in neurologic and psychiatric disorders. TH 9:00 – 10:30
INP 523/ENAS 880, Imaging Drugs in the Brain
Evan Morris, Kelly Cosgrove, Michelle Hampson
Seminar course to explore the uses of functional imaging (PET and fMRI) to study the mechanisms of action and long-term effects of drugs (legal and illegal) on brain function. Basic research findings are the main topics, augmented by some discussion of imaging in drug development by Pharma. The central theme of the course is experiment design. How to design the proper imaging experiment to ask the question. What are the endpoints of the experiment? What are the limitations of interpretation? What are the proper controls and what are the proper analyses to ensure reliable, interpretable results?
INP 532, Neurobiology of Cortical Systems
This is a lecture, reading and discussion based course focused on the mammalian cerebral cortex. Students will learn about the evolution, development, function and dysfunction of the cortex. Significant emphasis will be placed on examining unique aspects of the cortex, including cortical circuit structure, plasticity, cognition and models of higher-order cognitive processing. We will also examine disease processes in which cortical dysfunction are specifically implicated.
INP 533, Function and Dysfunction of the Visual System
Z. Jimmy Zhou
A survey course on the visual system, covering the retina, central visual pathways, and visual centers. Topics on the development, structure, function, dysfunction, and repair of the visual system will be introduced by faculty members and discussed among students, postdoctoral fellows and faculty members. The class will meet for one 1.5 hr lecture and one 1.5 hr paper discussion session per week.
INP 540, How to Give a Talk
This course is a practical introduction to the art and science of giving a data-based neuroscience seminar. The ability to give a clear, convincing, and engaging talk about your work is one of the key career skills of successful scientists. Content, visual presentation, body language, and delivery all combine to determine your impact on your audience. The focus in class is on student presentation skills and detailed feedback, interspersed with short example talks by invited guests. Students give at least two talks over the course of the term and participate in weekly Q&A and feedback. Grading is based on class participation. Enrolment limited to ten.
INP 558/PSYC 558, Computational Methods in Human Neuroscience
This course provides training on how to use computational science for the advanced analysis of brain imaging data, primarily from functional magnetic resonance imaging (fMRI). Topics include scientific programming, high-performance computing, machine learning, network/graph analysis, real-time neurofeedback, nonparametric statistics, and functional alignment. Prerequisite: some prior experience with programming, data preprocessing, and basic fMRI analysis. Spring 2018 T 12-3
INP 562/MCDB 361/562, Dynamical Systems in Biology
Damon Clark, Joe Howard
This course covers advanced topics in computational biology and dynamical systems. How do cells compute, how do they count and tell time, how do they oscillate and generate spatial patterns? Topics include time dependent dynamics in regulatory, signal transduction and neuronal networks, fluctuations, growth and form: mechanics of cell shape and motion, spatially heterogeneous processes, diffusion. This year, the course will spend roughly half its time on mechanical systems at the cellular and tissue level, and half on models of neurons and neural systems in computational neuroscience.
INP 585/BME 585, Fundamentals of Neuroimaging
Fahmeed Hyder, Douglas Rothman
The neuroenergetic and neurochemical basis of several dominant neuroimaging methods, including fMRI. Topics range from technical aspects of different methods to interpretation of the neuroimaging results. Controversies and/or challenges for application of fMRI and related methods in medicine are identified.
INP 588, Computational Modeling & Analysis in Neuroscience
Damon Clark, Alex Kwan
Quantitative methods for exploring and understanding data are becoming increasingly common in neuroscience. The aim of this course is to introduce students to state-of-the-art methods that are used for data analysis and computational modeling of behavior and neural activity. Classes will combine discussions of primary research papers with coding tutorials to facilitate focused, hands-on exploration of quantitative methods of interest. Topics will include modeling decision-making, model selection, time-frequency analysis of neural activity, and neural population models. Students will need their own computers and access to MATLAB. Minimal programming experience is helpful but not required.
INP 597/NBIO 597, Neuroeconomics
Ifat Levy, Daeyeol Lee
This course will introduce some of the main topics in human decision-making research. We will discuss how behavioral economics methods are combined with neuroscientific tools, in particular, functional MRI, to study the neural mechanisms underlying decision and valuation processes. The course will include both introductory presentations by the instructors and paper presentations by the students.
INP 599/NBIO 599 Statistics and Data Analysis in Neuroscience
This course focuses on practical applications of various statistical models and tests commonly used in neuroscience research. It covers basic probability theory, hypothesis testing, and maximum likelihood estimation, as well as model comparison. The specific models and tests covered include ANOVA, regression, time series analyses, and dimension reduction techniques (e.g., PCA). Examples and homework will be given in MATLAB, which will be introduced at the beginning of the course. Previous experience in programming and basic statistics is desirable but not required.
INP 611/PSYC 611/411, Introduction to Systems Neuroscience
This course provides an overview of the fundamental principles governing the central nervous system. Topics include the anatomy of the central nervous system, the neural mechanisms underlying cortical and subcortical control of behavior, various neuroscience techniques, as well as implications for nervous system disorders. The lectures will combine basic knowledge of the nervous system with the key experimental findings that led to new discoveries in brain function.
INP 614/PSYC 750/C&MP 750, Research Topics in Neurobiology of Learning and Memory
This seminar integrates hypotheses and research methods used to elucidate the neurobiological mechanisms underlying learning and memory. Levels of analysis range from molecular and cellular to systems and behavioral, with a primary focus on cellular and systems neurophysiology. Discussion includes the philosophy and rationale underlying some of the more successful and interesting methods. A goal is to evaluate critically how one might connect synaptic phenomena such a long-term potentiation and depression to behavioral changes such as acquisition and extinction. Focus is on combining in vitro and in vivo methods that offer the possibility for yielding quantitative theoretical or computational models.
INP 645/PSYC 535/C&MP 535, Foundations of Behavioral Neuroscience
Introduction to the mammalian brain from the perspective of its synaptic organization. The course summarizes principles of biophysics and cellular and systems neurophysiology that provide the foundation for understanding information processing and storage in various brain regions.
INP 648, Cellular Analysis of Learning and Memory: Vertebrate Model Systems
We focus on the brain circuitries and cellular/molecular mechanisms involved in learning and memory, with emphasis on vertebrate model systems. Review of work on habituation, sensitization, Pavlovian and instrumental conditioning, and declarative memory formation. Also Psych 648b
INP 720/MCDB 720, Neurobiology
Haig Keshishian, Paul Forscher
Examination of the excitability of the nerve cell membrane provides a starting point for the study of molecular, cellular and intracellular mechanisms underlying the generation and control of behavior. Fall, offered annually.