This course examines the biological basis of psychology. Behavioral Neuroscience is an interdisciplinary science that aims to investigate the interaction between brain and behavior. Credit will not be awarded for PSYC 4020 and NEUR 3003.

Special Topics in Neuroscience: Applied Statistics in Neuroscience

This course provides academic credit for independent thesis research conducted under the supervision of a
Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or exami-
nations. The scope and direction of research are determined by the student in consultation with the thesis
advisor, consistent with the requirements of the degree program.

An introduction to teaching neuroscience for undergraduate teaching assistants, with a focus on effective teaching, active engagement of students, and development of innovative classroom activities. May be used as NEUR elective credit for NEUR majors.

This class offers an introduction to the world of building mathematical and computational models to understand cognitive and neural processes. The philosophy of this course is to have you actually build these models and engage with the data to (re)discover the theories for yourself. To this end you will be deriving mathematical expressions for behaviors in different experiments, building computational models to simulate neural firing, and analyzing real behavioral and neural data. In addition, you’ll have the opportunity to build your own models and experiments in a project that takes the place of the final. While computational methods can be applied to understand any aspect of Cognition, in this course we will focus on the computational modeling of decision making. By focusing on a single topic, the goal is to go deep down the modeling rabbit hole to really see how models are built, tested, and improved upon over time. 

An overview of principles and techniques in cell and molecular neuroscience: neuron excitability, synaptic transmission, learning and memory to basic mechanisms of neurological diseases.