Course Description: An introduction to the study of neuroscience through the Molecular & Cellular, Behavioral & Cognitive, and Computational sub-fields. Fundamental principles of neuronal electrochemical properties, neuronal communication, and brain structure will be explored to allow discussion of larger themes such as Memory & Cognition, Biological Rhythms & Sleep, and Neurobehavioral Disorders. This course exposes students to the unique but complementary research methods that each sub- field uses in addressing questions in neuroscience. Lecture and laboratory (fused lecture/lab format where laboratory exercises are interspersed with lecture material). Prerequisites: 2 of the following 3 courses: BIOL 120, PSYC 110, or CHEM 110; or by permission of the instructor. F.
Course Delivery- Fully Remote: This course will be delivered online for the entire semester. We will meet synchronously in Blackboard Collaborate during the scheduled class time. Please make sure that you have the appropriate technology (e.g., computer, internet access, camera, mic, etc.) to complete the course or notify me as soon as possible if you do not. Content will be available through the learning management system Blackboard (see next section). G Suite (i.e., Gmail, Meet, Google Docs, etc.) will also be used. Additional software that may be used will be provided to you at no cost but will necessitate that you have permission to install it on a computer (with the provided instructions).
Blackboard (BB): You will want to become well-acquainted with the BB site for this course. All course materials and links will be posted on this site. This is also where you will submit all coursework and complete assessments. Note that the slide handouts I’ve provided are designed to save you time when taking notes by providing images and diagrams that might be difficult to copy into your class notes. These slides are not meant to serve as a substitute for attending course meetings, watching videos, completing readings, and participating in discussions! It is in those activities that the real learning happens. To access the course, log in here: https://bb.owu.edu/.
Course Description: An introduction to computational modeling of neural systems and neural data analysis techniques for students majoring in neuroscience. Topics include models of the individual neuron, neural encoding and decoding of sensory information, information processing by neural networks, models of memory formation, time-frequency analysis of neural signals, and image processing techniques. Laboratory included. Prerequisite: NEUR 250 AND one of CS 110, MATH 105, MATH 110, MATH 230, or PSYC 210; OR permission of instructor. Not open to students with credit for PHYS 330.
Course Delivery: