腦與行為進階選讀(二):英文口語討論

The main topics to be covered in this class include: Reward-based decision making; reward prediction error signals; attention signals; executive functions; in vivo neurophysiology; optogenetic dissection of neural circuitry. Each topic module consists of two classes: the first one will be a full-length online seminar by a neuroscientist, followed by the second week discussing one of the papers covered in the online seminar. Each student will be in charge of one topic module: lead the discussion following the online seminar, and the presentation of the original research paper the following week.

The goal of this class is to gain proficiency in reading and discussing modern systems neuroscience literature, with a special focus on oral presentation in English. The class will focus on recent papers that study reward-based decision making (attention, reward, executive functions) using single unit recording in animal models, as well as advanced methods to dissect neural circuitry. All class discussions will be conducted in English. Advanced knowledge of systems neuroscience and neurophysiology is required. Enrolling students must have taken a systems neuroscience class before, and must seek permission from the instructor at the start of the semester.

This class will be conducted in English. This class requires advanced knowledge of systems neuroscience and neurophysiology, and is open to both graduate and undergraduate students. Class size limited to 12. Enrolling students must have taken a systems neuroscience class before, and must seek permission from the instructor at the start of the semester. Each student will be in charge of one topic module: lead the discussion following the online seminar, and the presentation of the original research paper the following week. Before the first class, each student will need to identify the topic module s/he wants to present, and send the information (online seminar as well as the paper) to the class instructor Dr. Lin. Example modules are listed in the syllabus.