Neuroscience Guided Research
4:10pm–6:00pm
Diana Center DIA 308
Barnard
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
This lab-based course introduces students to advanced methods in cognitive neuroscience, focusing on the application of electroencephalography (EEG) for real-time recording of brain activity. Unlike traditional approaches that study how the brain responds to different external stimuli or task demands, this course centers on spontaneous brain activity that occurs during rest or just before experimental events. Whether or not spontaneous brain activity is just meaningless noise remains an active area of research in cognitive neuroscience. Some researchers believe that spontaneous brain activity may be an important factor shaping our subjective experience of the world. However, the underlying mechanisms remain elusive in part due to the challenges in objectively defining and measuring subjective experience. In this course, students will address this challenge by developing methods to study the relationship between spontaneous brain activity and subjective experience, with a particular focus on mind-wandering and the sensory phenomena elicited by Ganzflicker and Ganzfeld stimulation. The course culminates in independent research projects where students test their hypotheses by collecting and analyzing behavioral and EEG data. Key questions to address include: can spontaneous fluctuations in brain activity account for why people sometimes zone out while performing a task? Can the same fluctuations explain why people sometimes have different sensory experiences despite constant external stimuli? Do individual variations in spontaneous brain activity help explain why some people are more likely to report such experiences? Note: The course involves weekly in person meetings as well as asynchronous work on data acquisition, analysis, and primary article readings for approximately 6 additional hours per week (on average).
Reviews
Course experience
Aggregated across everyone who has taught this course.
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Instructor quality
n=12, 2009–2026
Aggregated across every course Kara Pham has taught.
Teaching quality
4.5 / 5
Grading fairness
3.5 / 5
Workload
No signal
Difficulty
3.6 / 5 · Hard
Overall sentiment
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 4 credits
Reported workload
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