| Course Title: Seminar in Statistics and Scientific Research: 'Analysis of Neural Data' |
| Start Date: 01/28/2025 End Date: 05/13/2025 |
| Term: Spring Semester 2025 |
| Description: Neuroscience addresses big questions about the mind by studying the structure and function of the brain -- questions like: How do we remember, learn, and make decisions? Why do we feel emotions and experience consciousness? What causes mental illness? This increasingly means analyzing datasets that are large, complex, high dimensional, and time varying. Neural data analysis employs a unique set of concepts and approaches drawing on statistics, mathematics, physics, and computer science. In this course, we will apply these techniques to real neural datasets through hands-on activities and a final independent project. Possible topics include statistical modeling of neuronal spiking data; analysis of high-dimensional data with spatial structure (e.g., EEG, fMRI); and techniques in time series analysis (e.g., autoregressive modeling, time-frequency decomposition, network connectivity, causality). |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Ben Pittman-Polletta | benpolletta@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/28/2025 - 05/13/2025 | Lecture | Monday and Wednesday | 10:00AM - 11:15AM | CLAP - Clapp Laboratory | 225 | Weekly |
REGISTRATION DETAILS
| Requisite Courses | ||
| Prereq: STAT-242. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| NEURO0001 | NEURO: Neuroscience & Behavior Major | This course has been approved to count towards the Neuroscience and Behavior major. |
| DATA0003 | DATA-SE: Data Science Elective Course | This course is an elective option for the Data Science major. |
| Cross-listed Sections |
| STAT-344ND-01 Analysis of Neural Data |
| NEURO-309ND-01 Analysis of Neural Data |
| Course Availability | ||||
| Section status: Open | Capacity: 18 | Enrollment: 12 | Available: 6 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| Title: Case Studies in Neural Data Analysis Author: Kramer, Mark Copyright: 2016 Edition: Volume: ISBN: 9780262529372 Publisher: MIT Press |
Optional | 60.00 |
| Title: Models of the Mind Author: Lindsay, Grace Copyright: 2022 Edition: Volume: ISBN: 9781472966438 Publisher: Bloomsbury Publishing |
Recommended | 18.00 |
| Additional Book Comments |
| This is NOT the complete book list for this class. |