Courses
View courses below. Students can also access the Dynamic Course Schedule via CUNYfirst.
To be eligible for graduation, students must fulfill a total of 32 credits.*
* Total may reflect 33 credits with the addition of CNS 70101.
Core Requirements
This course is the first in a two-course sequence designed to provide a uniform foundation for students engaged in graduate work in the Neurosciences. Its focus is on the molecular, cellular, and developmental aspects of neural function. The course is often team-taught, and in addition to a standard textbook, utilizes a variety of readings, problem sets and research presentations designed to introduce students to the methods and data of contemporary neuroscience research. Some background in genetics and molecular biology is highly desirable. An emphasis on interdisciplinary work, which is characteristic of contemporary neuroscience, is an important feature of the course.
This course is the second in a two-course sequence designed to provide a uniform foundation for students engaged in graduate work in the Neurosciences. Its focus is on systems, behavioral, and cognitive neuroscience. The course is often team-taught, and in addition to a standard textbook, utilizes a variety of readings, oral presentations and research critiques designed to introduce students to the methods and data of these disciplines.
Completion of Neuroscience I would be highly desirable. An emphasis on interdisciplinary work, which is characteristic of contemporary neuroscience, is an important feature of the course.
This course will provide students with an overview of cognitive neuroscience. Topics to be covered in this course include the neural basis for higher aspects of perception, object recognition, attention, reward and motivation, memory, language, executive control, decision-making, social cognition, and consciousness.
This course will cover descriptive and inferential univariate statistics, including correlation, regression, comparing means, non-parametric tests, and analysis of categorical data. Students will learn how to: (1) match specific univariate methods to particular types of research data; (2) compute univariate data analyses using the R programming language; (3) test assumptions and interpret results of statistical analyses; and (4) write up and present statistical findings.
This course will accompany CNS 70100: Statistics. It will focus on the applications of statistical concepts using R or other statistical computing software. As with CNS 70100, it will cover descriptive and inferential univariate statistics, including correlation, regression, comparing means, non-parametric tests, and analysis of categorical data
This course will provide an opportunity for graduate students to evaluate the strengths and weaknesses of commonly used methods that cognitive neuroscientists use to measure central and peripheral nervous system activity. These methods include single-unit recordings, the lesion method, electroencephalography (EEG) and event-related potentials (ERPs), transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS), functional magnetic resonance imaging (fMRI), and optical imaging.
This course will provide students with an overview of the structure and function of the nervous system and its subdivisions. It will introduce students to the organizational structure of the human brain, including slide material of gross neuroanatomy, cerebral vasculature, spinal organization, and internal structure from medulla to cortex. Functional system mini-lectures are also provided for the sensory and motor systems, the thalamus, hypothalamus, basal ganglia, limbic system, cerebellum and cortex. Neuroanatomical mapping of major neurochemical systems and their receptors is also provided. Course expectations include both visuo-spatial and written fluency of the material.
Electives
Many of these electives are offered sporadically. We try to offer as many courses as we can to cover a wide range of topics/interests. However, course offerings depend on numerous factors. Therefore, it is important to note that we cannot guarantee the availability of specific courses.
- BME I5100: Signal Processing
- BME I5000: Medical Imaging and Image Processing
- CS 74030: Computer Vision and Image Processing
- CS 84090: Vision, Brain and Assistive Technologies
- PSYC 80103: Neural Basis of Decision Making
- PSYC 80103: Neuro-cognition and neurodegenerative disorders
- PSYC 87203: Neuroscience of Consciousness
- PSYC 87103: Attention
- PSYC 80103: Theoretical Neuroscience
- PSYC 70802: Neurophysiology
- PSYC 80103: Cortical Circuitry
- PSYC 84603: Social Cognitive and Affective Neuroscience
- PSYC 80103: Neuroscience-based Digital Health Interventions
- PSYC 73500: Psychology of Perception
- PSYC 80103: Functional MRI
- PSYC 76000: Psychometrics
- PSYC 80103: Behavioral Neuroendocrinology
- PSYC 80103: Neurobiological bases of crime
- PSYC 88200: Neurochemistry of Learning
- PSYC 80103: Basal Ganglia and Behavior
- PSYC 73800: Cognitive Psychology, BIOL 72302: Neuroscience II
- PSYC 88300: Learning & Memory
- PSYC 80103: Systems of Cognition and Psychiatric Disorders
- PSYC 81403: Cognitive Neuroscience Memory
- PSYC 80103: Behavioral Neuroendocrinology
- PSYC 80207: Professional Dev and Ethics
- PSYC 80103: Clinical Neuroscience
- PSYC 80103: Affective neuroscience
- SPCH 71700: The acquisition of language
- SPCH 80700: Seminar in Language Science: Executive functions and language processes
- SPCH 70600: Hearing Science
- SPCH 80800: Seminar in Hearing Science
- SPCH 71500: Introduction to Neurolinguistics
- SPCH 81500: Seminar in the Neurolinguistics of Bilingualism
- SPCH 82200: Neuroscience of Aphasia
- SPCH 71300: Neurophysiology of Language
- SPCH 81900: Seminar in Electrophysiological Methods
- SPCH 82000: Seminar in Neurobiology of Child Language Disorders
- SPCH 82400: Seminar in Autism
- SPCH 82600: Language Disorders in Children
- SPCH 82800: Research Methods in Language
- SPCH: Speech Science
- SPCH: Speech Production
- SPCH: Speech Perception
- SPCH: Articulatory Phonology
Thesis
Students complete the M.S. in Cognitive Neuroscience by completing a master’s thesis. The thesis research and manuscript enables students to integrate and synthesize the knowledge and data that they have acquired during their MS coursework and research. For this course, students will work with an advisor to formulate a research question that will culminate into the master’s thesis. Students should enroll in this course in their last semester.
