Curriculum Requirements
Students in the CUNY Neuroscience Collaborative (CNC) follow a similar course of study regardless of their program affiliation, and participate in lab rotations/these research across both programs and with any faculty affiliated with the CNC.
Both the Ph.D. in Biology: Neuroscience and the Ph.D. in Psychology: Behavioral and Cognitive Neuroscience require a total of 60 credits of approved graduate course work. Students are also expected to:
- Pass a First Examination given at the end of the first academic year in the Program (June)
- Pass a Second Examination (thesis proposal)
- Complete lab rotations according to their chosen degree (2-3 rotations of 10-15 weeks for students in Biology or Psychology)
- Conduct original research, write and defend a dissertation
Electives and other specialized training courses
The list below indicates some of the specialized courses available to doctoral students. Seminars are particularly important because they provide an opportunity for the student to read and critique recent original research papers. The trainee will choose electives in collaboration with his/her advisory committee.
A sampling of elective courses and seminars
- Animal Behavior I: Evolution
- Animal Behavior II: Mechanisms
- Animal Communication
- Anatomy of Human Cognition
- Behavioral Pharmacology
- Biology of Cancer Progression
- Biophysics
- Cell Biology of Myelination
- Clinical Psychopharmacology
- Cognitive Neuroscience of Attention
- Cognitive Neuroscience of Memory Systems
- Image Analysis
- Methods in Cognitive Neuroscience
- Learning: Behavioral Mechanisms
- Learning: Neural Mechanisms
- Neuroanatomy
- Neurochemistry
- Neural Mechanisms of Motivation
- Neuroscience of Perception
- Science and Diplomacy: What Scientists Can do on a Global Stage
- Social, Cognitive and Affective Neuroscience
- Signal Processing for Neuroscientists
- Statistical Methods
- Seminar, Landmark Papers in Model Systems
- Seminar, Sensory Processing
- Seminar, Motor Control
- Seminar, Brain Circuits Regulating Learning and Memory
- Seminar, Cognitive Neuroscience
- Seminar, Theory of Deep Learning