Term Schedule : Graduate Courses : Brain and Cognitive Sciences : 91��̳

Graduate Courses

Term Schedule

Fall 2024

Number	Title	Instructor	Time
BCSC 505-1 Perception, action, and neural foundations Gregory DeAngelis R 1:00PM - 3:30PM
This team-taught course will provide an interdisciplinary introduction to sensory perception, interplay between action and perception, as well as their basic neural foundations. Topics to be covered include: fundamentals of perceptual detection and discrimination, eye movements, visual perception of form, motion, and depth, haptic perception, basics of neural coding, multisensory processing, and attention. Location Meliora Room 301B (R 1:00PM - 3:30PM)
BCSC 519-01 Statistics for Brain & Cognitive Sciences Florian Jaeger T 2:00PM - 3:15PM W 10:25AM - 11:40AM
This course discusses statistical concepts and procedures commonly used in brain and cognitive sciences research. It is a peer-led class, meaning that each student will take part in actively teaching some of the concepts. You will be evaluated on your participation in class and the effort in organizing your lessons. Location Meliora Room 301B (T 2:00PM - 3:15PM) Meliora Room 301B (W 10:25AM - 11:40AM)
BCSC 528-1 Special Topics in Vision Duje Tadin 7:00PM - 7:00PM
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. Location Meliora Room 301B ( 7:00PM - 7:00PM)
BCSC 542-1 Neuropsychology Renee Madathil MW 4:50PM - 6:05PM
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. Prerequisite: BCSC 110 or BCSC 240/NSCI 201 Location Meliora Room 203 (MW 4:50PM - 6:05PM)
BCSC 543-1 Neurochemical Foundations of Behavior Renee Miller MWF 10:25AM - 11:15AM
This class covers how the brain controls behavior, and what goes wrong in various diseases, from a neurochemistry perspective. We start by learning about the neurochemicals –neurotransmitters, peptides, growth factors, etc. and move on to their receptors and associated signaling pathways, including gene transcription and epigenetics. An emphasis is placed on primary research literature, experimentation/data analysis and application of knowledge to the interpretation of scientific data. Students will attend research seminars on campus or online and write brief summaries of their understanding. The course culminates in small group presentations about the neurochemistry of diseases of interest, and an individual research review paper on the same topic. Prerequisite: BCSC 240/NSCI 201. BIOL 250 is helpful but not required. Location Morey Room 502 (MWF 10:25AM - 11:15AM)
BCSC 547-01 Intro to Computational Neuroscience Ralf Haefner TR 12:30PM - 1:45PM
Computational neuroscience studies how the brain can be understood in terms of computations implemented by neural circuits, and in terms of using computational methods to analyze neural and behavioral data. This course for advanced undergraduates and graduate students starts with models of individuals neurons before moving on to networks of neurons and behavior. It provides both a classic signal processing, and a probabilistic perspective on how neurons support the brain’s computations. While primarily lecture-based, an important part of the course are exercises that typically consist on implementing (programming) a model discussed in the class and analyze its behavior. The course also provides the opportunity for a final project but this is not required. The material mostly considers the sensory system and perceptual decision-making. There are no formal prerequisites. However, programming experience and a minimal background in linear algebra (vectors and matrices) and analysis (basic ordinary differential equations) are essential. At the beginning, there will be a very brief introduction to the key biological concepts necessary for the course. In doubt, please email the instructor. Location Dewey Room 2110D (TR 12:30PM - 1:45PM)
BCSC 570-1 Introduction to Augmented and Virtual Reality Mujdat Cetin MW 2:00PM - 3:15PM
This course provides a broad introduction to augmented and virtual reality (AR/VR) systems. The course involves lectures covering an overview of all aspects of the AR/VR domain, as well as individual work performed by each student aimed at providing more intensive training on various aspects of AR/VR. Topics covered in the lectures and class workshops include history, conceptual origins, and design/evaluation principles of AR/VR technologies; optics/platforms/sensors/displays; auditory perception and spatial audio; graphics and computation; data processing and machine intelligence for AR/VR; introduction to AR/VR programming tools; societal implications and ethical aspects. At the end of the course, students will have gained familiarity with the techniques, languages, and cultures of fields integral to the convergent research theme of AR/VR. This course is co-instructed by Daniel Nikolov, Mujdat Cetin, Zhiyao Duan, Chenliang Xu, and Yuhao Zhu, and it includes additional guest lectures and workshops. Location Goergen Hall Room 109 (MW 2:00PM - 3:15PM)
BCSC 572-1 Practicum in Augmented and Virtual Reality Mujdat Cetin; Kathleen DeFazio TR 9:40AM - 10:55AM
This is the third course offered as part of the PhD training program on augmented and virtual reality (AR/VR). The goal of the course is to provide interdisciplinary collaborative project experience in AR/VR. The course involves small teams of students from multiple departments working together on semester-long projects on AR/VR with the guidance of one or more faculty involved in the PhD training program. The expected end products of this Practicum course are tangible artifacts that represent what the students have learned, discovered, or invented. Types of artifacts include research papers; patent applications; open-source software; as well as online tutorials and videos for undergraduates, K-12 students, or the general public. Prerequisites: ECE 410-1 or OPT 410-1 or BME 410-1 or BCSC 570-1 or NSCI 415-1 or CSC 413-1 or CVSC 534-1 Instructors: Lead - Mujdat Cetin; Zhen Bai, Jannick Rolland, Michele Rucci Location Computer Studies Room 426 (TR 9:40AM - 10:55AM)
BCSC 580-1 Advanced Topics in Cognitive Neuroscience Coraline Rinn Iordan TR 3:25PM - 4:40PM
An interdisciplinary tour of human cognition with a special focus on large-scale neural representations in the human brain. Topics will include categorization, semantics, attention, memory, language, and cognitive control, with an emphasis on cutting-edge research that lies at the intersection of neuroscience, psychology, and computer science. The course will provide introductions to several neuroimaging (e.g., fMRI, MEG, EEG) and neural manipulation methodologies (e.g., TMS, tDCS, neurofeedback) and will involve discussions of advanced machine learning analysis techniques (multivariate pattern recognition algorithms, deep neural networks, Hidden Markov Models). Format: lectures and student-led seminar discussions. Location Bausch & Lomb Room 315 (TR 3:25PM - 4:40PM)
BCSC 594-02 Research Internship Martina Poletti 7:00PM - 7:00PM
No description Location ( 7:00PM - 7:00PM)
BCSC 595-01 PhD Research Ralf Haefner 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-02 PhD Research Manuel Gomez-Ramirez 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-03 PhD Research Duje Tadin 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-04 PhD Research Robert Jacobs 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-05 PhD Research Michele Rucci 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-06 PhD Research Adam Snyder 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-07 PhD Research Martina Poletti 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-08 PhD Research Gregory DeAngelis 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-11 PhD Research Karl Rosengren 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-12 PhD Research Elise Piazza 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-13 PhD Research Dora Biro 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-14 PhD Research Ian Fiebelkorn 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-15 PhD Research Coraline Rinn Iordan 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 595-16 PhD Research Samuel Norman-Haignere 7:00PM - 7:00PM
No description Location ( 7:00PM - 7:00PM)
BCSC 595-17 PhD Research Takao Sasaki 7:00PM - 7:00PM
No description Location ( 7:00PM - 7:00PM)
BCSC 595A-1 PhD Research in Absentia – 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-07 Supervised Teaching Assistant Ralf Haefner 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-1 Supervised Teaching Assistant Renee Madathil 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-14 Supervised Teaching Assistant Farran Briggs 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-15 Supervised Teaching Assistant Karl Rosengren 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-16 Supervised Teaching Assistant Brian Keane 7:00PM - 7:00PM
No description Location ( 7:00PM - 7:00PM)
BCSC 598-2 Supervised Teaching Assistant Duje Tadin 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-3 Supervised Teaching Assistant Chung-Lin Yang 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-4 Supervised Teaching Assistant Gregory DeAngelis 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-5 Supervised Teaching Assistant Dora Biro 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 598-6 Supervised Teaching Assistant Robert Jacobs 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 897-01 Master's Dissertation Manuel Gomez-Ramirez 7:00PM - 7:00PM
No description Location ( 7:00PM - 7:00PM)
BCSC 986V-1 Full Time Visiting Student – 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 995-1 Cont of Doctoral Enrollment Florian Jaeger 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 995-2 Cont of Doctoral Enrollment Ralf Haefner 7:00PM - 7:00PM
No description Location ( 7:00PM - 7:00PM)
BCSC 997-1 Doctoral Dissertation Michele Rucci 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 999-01 Doctoral Dissertation Dora Biro 7:00PM - 7:00PM
Blank Description Location ( 7:00PM - 7:00PM)
BCSC 999A-1 Doctoral Dissertation in Absentia Dora Biro 7:00PM - 7:00PM
No description Location ( 7:00PM - 7:00PM)

Number	Title	Instructor	Time
Monday
Monday and Wednesday
BCSC 570-1 Introduction to Augmented and Virtual Reality Mujdat Cetin
This course provides a broad introduction to augmented and virtual reality (AR/VR) systems. The course involves lectures covering an overview of all aspects of the AR/VR domain, as well as individual work performed by each student aimed at providing more intensive training on various aspects of AR/VR. Topics covered in the lectures and class workshops include history, conceptual origins, and design/evaluation principles of AR/VR technologies; optics/platforms/sensors/displays; auditory perception and spatial audio; graphics and computation; data processing and machine intelligence for AR/VR; introduction to AR/VR programming tools; societal implications and ethical aspects. At the end of the course, students will have gained familiarity with the techniques, languages, and cultures of fields integral to the convergent research theme of AR/VR. This course is co-instructed by Daniel Nikolov, Mujdat Cetin, Zhiyao Duan, Chenliang Xu, and Yuhao Zhu, and it includes additional guest lectures and workshops.
BCSC 542-1 Neuropsychology Renee Madathil
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. Prerequisite: BCSC 110 or BCSC 240/NSCI 201
Monday, Wednesday, and Friday
BCSC 543-1 Neurochemical Foundations of Behavior Renee Miller
This class covers how the brain controls behavior, and what goes wrong in various diseases, from a neurochemistry perspective. We start by learning about the neurochemicals –neurotransmitters, peptides, growth factors, etc. and move on to their receptors and associated signaling pathways, including gene transcription and epigenetics. An emphasis is placed on primary research literature, experimentation/data analysis and application of knowledge to the interpretation of scientific data. Students will attend research seminars on campus or online and write brief summaries of their understanding. The course culminates in small group presentations about the neurochemistry of diseases of interest, and an individual research review paper on the same topic. Prerequisite: BCSC 240/NSCI 201. BIOL 250 is helpful but not required.
Tuesday
BCSC 519-01 Statistics for Brain & Cognitive Sciences Florian Jaeger
This course discusses statistical concepts and procedures commonly used in brain and cognitive sciences research. It is a peer-led class, meaning that each student will take part in actively teaching some of the concepts. You will be evaluated on your participation in class and the effort in organizing your lessons.
Tuesday and Thursday
BCSC 572-1 Practicum in Augmented and Virtual Reality Mujdat Cetin; Kathleen DeFazio
This is the third course offered as part of the PhD training program on augmented and virtual reality (AR/VR). The goal of the course is to provide interdisciplinary collaborative project experience in AR/VR. The course involves small teams of students from multiple departments working together on semester-long projects on AR/VR with the guidance of one or more faculty involved in the PhD training program. The expected end products of this Practicum course are tangible artifacts that represent what the students have learned, discovered, or invented. Types of artifacts include research papers; patent applications; open-source software; as well as online tutorials and videos for undergraduates, K-12 students, or the general public. Prerequisites: ECE 410-1 or OPT 410-1 or BME 410-1 or BCSC 570-1 or NSCI 415-1 or CSC 413-1 or CVSC 534-1 Instructors: Lead - Mujdat Cetin; Zhen Bai, Jannick Rolland, Michele Rucci
BCSC 547-01 Intro to Computational Neuroscience Ralf Haefner
Computational neuroscience studies how the brain can be understood in terms of computations implemented by neural circuits, and in terms of using computational methods to analyze neural and behavioral data. This course for advanced undergraduates and graduate students starts with models of individuals neurons before moving on to networks of neurons and behavior. It provides both a classic signal processing, and a probabilistic perspective on how neurons support the brain’s computations. While primarily lecture-based, an important part of the course are exercises that typically consist on implementing (programming) a model discussed in the class and analyze its behavior. The course also provides the opportunity for a final project but this is not required. The material mostly considers the sensory system and perceptual decision-making. There are no formal prerequisites. However, programming experience and a minimal background in linear algebra (vectors and matrices) and analysis (basic ordinary differential equations) are essential. At the beginning, there will be a very brief introduction to the key biological concepts necessary for the course. In doubt, please email the instructor.
BCSC 580-1 Advanced Topics in Cognitive Neuroscience Coraline Rinn Iordan
An interdisciplinary tour of human cognition with a special focus on large-scale neural representations in the human brain. Topics will include categorization, semantics, attention, memory, language, and cognitive control, with an emphasis on cutting-edge research that lies at the intersection of neuroscience, psychology, and computer science. The course will provide introductions to several neuroimaging (e.g., fMRI, MEG, EEG) and neural manipulation methodologies (e.g., TMS, tDCS, neurofeedback) and will involve discussions of advanced machine learning analysis techniques (multivariate pattern recognition algorithms, deep neural networks, Hidden Markov Models). Format: lectures and student-led seminar discussions.
Wednesday
Wednesday and Friday
Thursday
BCSC 505-1 Perception, action, and neural foundations Gregory DeAngelis
This team-taught course will provide an interdisciplinary introduction to sensory perception, interplay between action and perception, as well as their basic neural foundations. Topics to be covered include: fundamentals of perceptual detection and discrimination, eye movements, visual perception of form, motion, and depth, haptic perception, basics of neural coding, multisensory processing, and attention.
Friday

91������̳

Term Schedule

Fall 2024

Fall 2024

91��̳