NBIO 724 Developmental Neuroscience (Fall 2017)
NBIO 750 Neuroanalytics (Fall 2017)-new!
The following courses are a listing of strongly suggested courses that Neuroscience students may consider for their elective requirements. If you come across another elective you would like to take and it will benefit your research, please consult Garret Stuber for permission.
NBIO 731 Microscopy (2 cr)
This course aims to provide the knowledge one may need to understand the reach of microscopy imaging techniques, to be able to choose the right imaging modality, label the sample, carry out the experiment, analyze data, and troubleshoot any pitfalls that may occur. Starting from the principles of microscopy, proceeding to the description of conventional and advanced modern techniques, and evaluating advantages and disadvantages of each method. Spring. Ghukasyan.
NBIO 733 Neurocircuits and Behavior Journal Club (1 cr)
This course involves discussion of new research papers focused on delineating how neurocircuits function to orchestrate various behavioral states. Papers for discussion will be chosen by instructor and students, and students will rotate in lead discussions. 1-2 papers will be covered each week in details, and students who are leading discussion are required to provide a short critique of their paper, which will be posted online on post-publication peer review forums. Spring. Stuber Syllabus
NBIO 750 Neuroanalytics (4 cr)
The purpose of this course is to provide both practical and theoretical training in advanced data analysis approaches commonly used in neuroscience research. Over the past 10 years there has been a dramatic shift within the field from relatively simple data analysis approaches such as calculating means and standard errors of grouped data, to now performing complex analysis on higher dimensional datasets to uncover unappreciated features. The material in this course should be immediately useful to any student who is working with modern data collected in Neuroscience, from sequencing, electrophysiology, imaging, biochemistry, and behavior. The concepts in the course will be taught through programming in python. While understanding mathematical concepts behind analysis is important, we will largely focus on the big picture and try to illustrate concepts by emphasizing graphical representations of how datasets are treated with these approaches. Throughout the course, we will utilize real-world neuroscience data from a variety of sub-disciplines as examples, and also focus on teaching the implications and limitations of the approaches we cover. At the end of the course, students should have a solid foundation of scientific computing, which will prepare them to independently conduct analysis of their own data or prepare them for more advanced courses. Fall. Stuber Syllabus
NBIO 890.003- Special Topics in Neurobiology: Network Neuroscience (2 cr)
This graduate-level seminar course combines lectures and paper presentations on cutting-edge interdisciplinary research of dynamics and function of brain networks. The course is designed to be informal and highly interactive and requires active participation. Application of modern tools such as massively-parallel, electrophysiological recordings, large-scale computer simulations, optogenetic manipulations and advanced MR imaging represents a major focus. Spring. Frohlich. Syllabus
NBIO 724- Developmental Neurobiology (2 cr)
This paper based seminar explores the basic principles guiding the emergence of the mammalian nervous system. The course presents current topics in developmental neuroscience using selections from current and classic literature. Spring. (alt years), Anton. Syllabus
NBIO 729- Neural Information Processing (3 cr)
This course addresses the fundamentals of nervous system information processing and integration, with examples from sensory systems. Integrative operations are examined from the level of cells through higher brain functions. Fall. Manis.
NBIO 800- Gene-Brain-Behavior Interactions in Neurodevelopmental Disorders: Towards an Integration of Perspectives on Disease Mechanisms (3 cr)
This seminar examines the topics of genetics, neuroanatomy, physiology, and behavioral development to provide a broad-based and integrated background to understand the etiology and potential mechanism underlying neurodevelopmental disorders. Fall and Spring. (alt years) Philpot and Piven.
NBIO 801- Clinical Syndromes & Neurodevelopmental Disorders (3 cr)
This seminar-based course reviews the epidemiology, pathogenesis, diagnosis, and treatment of neurodevelopmental syndromes and disorders. Topics range from single gene to complex genetic disorders. Fall and Spring. (alt years) Piven and Philpot.
PSYC 701- Biological Bases of Behavior I (3 cr)
A survey of psychological and biological approaches to the study of basic learning and higher integrative processing. Fall. Boettiger
PSYC 702- Brain & Behavior II (3 cr)
The primary objective of this 3 credit hour course is to provide an in-depth analysis of the biological basis of behavior with special emphasis on brain-behavior relationships. Topics will highlight the research interests of some of the Behavioral & Integrative Neuroscience Program and Neuroscience Curriculum faculty. The lectures and readings will emphasize various methodological approaches used for the study of (1) learning and memory, (2) psychiatric disorders including drug and alcohol abuse, and (3) the genetic contributions to behavior, including animal models in combination with pharmacological, genetic, optogenetic, and chemogenetic approaches. Grades will be based on: 1) in-class presentation of assigned research papers (60%), 2) two in-class closed book examinations (40%). This course is open and suitable for graduate students in Psychology & Neuroscience and in the Neuroscience Curriculum who are interested in studying the biological basis of behavior. Instructors: Drs. Todd Thiele (course organizer), Joyce Besheer, Montserrat Navarro, Darin Knapp, and Garret Stuber. Spring. Thiele
NBIO 727- Translational Seminar in Cognitive and Clinical Neuroscience (2 cr)
Introduces new neuroimaging techniques and their application to the study of the neural correlates of cognitive and behavioral impairments in a number of brain disorders. Spring. (alt years) Belger. Syllabus
PHCO 728- Neuropharmacology of Alcohol and Substance Abuse (3 cr)
A lecture/discussion course on the biological bases of alcohol and substance abuse. Spring. (alt years) Morrow.
BIOS 600- Principles of Statistics Infer (3 cr)
Bios 600 is an introductory course in probability and statistical inference. This course serves as an introduction to the collection, summarization, analyzation and presentation of data.Topics include sampling, measurement, descriptive statistics, probability, tests of hypotheses, condence intervals, two-sample t-tests, ANOVA, simple linear regression, 2-way tables, and the chi-square distribution. Spring. Herman-Giddens. Staff. MONACO
PHCO 750 Applied Biostatistics
This largely self-study course will deal with basic statistical and quantitative methods for the analysis and interpretation of biomedical data. This course is required for pharmacology, toxicology and pathology graduate students. Fall. Graves.
GRAD 721- Research Ethics (1 cr)
This course is an introduction to concepts, rules and issues that are central to research ethics. Issues of misconduct, irresponsible behavior, plagiarism etc. will be discussed in the company of fellow graduate students, researchers and faculty. The course wants to make the students feel part of a community that takes integrity and character as seriously as innovation and discovery. Spring. Staff. Syllabus
PSYC 708- Seminar in the Biological Foundations of Psychology (3 cr)
Lectures and seminar presentations on a wide range of topics in the area of physiological psychology. Rotating Topics/Instructors. Instructors include: Boettiger, Carelli, Dykstra, Fuchs, Hollins, Lysle, Picker, Thiele. Recent topics: "Neurobiology of Alcohol" (Thiele) and "The Frontal Lobes"
PSYC 830- Statistical Methods in Psychology (4 cr)
Data analysis, sampling, applied probability, elementary distribution theory, principles of statistical inference.