Individual research with Neurobiology and Behavior faculty.

Individual research with Neurobiology and Behavior faculty.

Individual research with Neurobiology and Behavior faculty.

Individual research with Neurobiology and Behavior faculty.

Individual research with Neurobiology and Behavior faculty.

Individual research with Neurobiology and Behavior faculty.

Intended to expose students to critical reading and analysis of the primary neuroscience literature. Instructors from departments associated with the Interdepartmental Neuroscience Program participate and discuss topics of current interest.

Intended to expose students to critical reading and analysis of the primary neuroscience literature. Instructors from departments associated with the Interdepartmental Neuroscience Program participate and discuss topics of current interest.

Surveys molecular and cellular mechanisms involved in neuronal function, including control of gene expression, post-transcriptional and post-translational processing, RNA and protein targeting, cell death mechanisms, and molecular genetic basis of neurological disorders. Overview of the molecular aspects of developmental neurobiology.

Neurophysiological and neurochemical mechanisms of electrical and chemical signaling in neurons. Topics include generation of resting- and action-potentials, voltage- and ligand-gated ion channels, second messenger systems, and synaptic transmission and integration.

Study of the mammalian nervous system at the systems level. Anatomy and physiology of sensory, motor, and integrative functions.

Overview of fundamental conceptual and experimental issues in the neurobiology of learning and memory. The approach is a cross-level integration of research in molecular-genetic, cellular, circuit, systems, and behavioral analyses.

The immune system supports normal brain development as well as controls central nervous system (CNS) infection, and neurodegenerative and neurological diseases. Assesses how the immune system contributes to both host defense and disease.

Theoretical principles and biological mechanisms underlying how brains acquire, assimilate, store, and retrieve information, compute adaptive responses to external inputs, and how knowledge is extracted from experience to generate an internal model of the world.

Students learn the fundamentals of bioinformatics, genomic approaches, and Linux and R program in order to analyze RNA-sequencing data.

Focuses on the role of chromatin/nuclear structure organization (histone and DNA modification, chromatin remodeling, higher order chromatin structure and nuclear organization) on gene regulation, DNA replication and repair, relevant to development, metabolism, learning and memory, and human disease.

Clinical and epidemiological aspects of neurodegenerative disorders causing dementia will be reviewed, including AD, PD, FTD, HD and cerebrovascular disease. Seminar format will include student presentations and group discussion.

Provides a comprehensive overview of topics in the addiction field, including drug pharmacology, models/approaches to investigate addiction, brain circuits, genetics, epigenetics, and the cellular and molecular biology of drug addiction.

Outlines changes occurring in aging and Alzheimer’s disease, and clinical manifestations of those changes. Emphasis on genetic and lifestyle risk factors, molecular mechanisms that are basis for detrimental and protective responses, diagnosis, and developing therapies for aging and Alzheimer's disease.

Overview of technical and applied aspects of imaging techniques available for studying the nervous system. The areas emphasized are cellular and subcellular imaging of neural function, systems-level imaging of brain function, and imaging of the human brain.

Advanced analysis of contemporary research concerning the nature and neurobiological bases of learning and memory. Special emphasis is given to time-dependent processes involved in memory storage.

A neuroscience-specific introduction to programming and data analysis using either MATLAB or Scientific PYTHON. Students will learn general programming skills and effective use of programming for data management, statistical analysis, and image analysis.

Basic principles of electricity; properties and use of discrete components and integrated circuits; circuit analysis and design. Intended for advanced students in the life sciences.

Introduction to common methods for statistical analysis used in neurobiology. Topics covered include t-tests, ANOVAs, correlations and regressions, general linear model, power analysis, and non-parametric tests.

Multidisciplinary overview of brain mechanisms of hearing. Emphasizes breadth of auditory function and research: single neurons to psychoacoustics, the chochlea to the cortex, and basic science to clinic.

Presentation of contemporary research problems in neurobiology and behavior and related areas by invited speakers.

Covers emerging topics in addiction neuroscience research in a journal club format. Students discuss recent articles and may present an article of their choosing. Students gain skills in critical thinking and scientific communication.

Students learn how to effectively communicate scientific ideas and results. Activities include learning how to effectively write a scientific proposal, how to perform a coherent, persuasive slide presentation, and how to give meaningful, constructive review critiques.

Limited to Teaching Assistants.