Courses
Each semester Penn State faculty teach a number of courses that are relevant to imaging sciences.
Fall 2009 Courses
Neural Control Engineering
E SC 597E NEURAL CTL ENG
08/24/2009-12/11/2009 Credits: 3.0
T 02:30P - 05:30P
212 HAMMOND
Instructor: Dr. Steven Schiff
Course Description
Graphs and Networks in Systems Biology
T Th 9:45 - 11:00 am
205 Boucke Building
Instructor: Dr. Reka Albert
The course will be concurrently offered as CMPSC 497E and PHYS 597A.
Syllabus
Fall 2009 Seminar
TITLE: EEG COHERENCY
TIME: 9 a.m. - 12 noon
LOCATION: S136 Henderson
DATES: 9/23, 9/30, 10/7, and 10/14
SCHEDULE NUMBER: 389884
INSTRUCTOR: Dr. Peter Molenaar
On 9/23, 9/30, 10/7, and 10/14 Dr. Peter Molenaar will teach a 1-point seminar on EEG coherency analysis. The course will be held in Henderson S136 from 9-12 am. The topics to be covered include: a) Introduction to discrete Fourier transformation (DFT); b) Statistical aspects of multivariate time series in the frequency domain; c) Estimation of spectral matrices by means of window techniques (tapers) and vector autoregressive modeling; d) Derivation of coherency spectra corrected for volume conduction; e) Estimation of coherency spectra by means of neural source modeling. Take home assignments will include reading selected papers and chapters from handbooks (provided through Angel), as well as carrying out hands-on computer exercises with simulated and real data. The final exam will consist of writing a scientific summary paper. For further information email pxm21@psu.edu. To sign up for seminar, contact Mary Jo Spicer: mjs6@psu.edu.
Spring 2010 Courses
Brain Computer Interfaces (BCI): Translate Thought into Action
E SC 597B - Spring 2010
Lecture: 210 IST, Monday 4:15-5:30
Lab: 210 IST, Friday 1:25-4:25
Instructor: Bruce Gluckman, 302B EES Building, 865-0178, BruceGluckman@psu.edu
Office Hours: Tuesdays 10am - noon
Course Short Description: Students will record EEG
(electroencephalagrams) and program real-time analysis to control
computers, video games, and robots.
Course Description: Mind reading video games headsets? Extensive
advances have been made within the last decade to translate
measurements of brain activity for prosthetic output. This course,
targeted to engineering and science students, will introduce this
field through hands-on experiments and design projects. We will
cover an introduction to electroenephalogram (EEG) recording and
interpretation, applied signal processing, discrimination and
classification, and control programming. Students will apply these
tools to implement their own BCI projects. This is a laboratory
class, with groups of students working to record and analyze each
other's EEG.
Course Objectives: To describe the biophysical basis of non-invasive
brain signals, to apply signal processing, discrimination, and
classification tools to interpret these signals, and to implement
these tools into a control system for a brain-computer interface.
Prerequisites: Signal processing and programming.
Topics:
- Introduction to EEG and EEG recording techniques. ~3 weeks
- EEG Signal Processing ~3 weeks
- Discrimination and Classification ~3 weeks
- Implementation of BCI ~5 weeks
fMRI Data Analysis
HDFS 597E
Thursday 9:00-12:00 am, Henderson S221
Instructor: Dr. Peter Molenaar
Textbook: Lazar, N.A. (2008). The statistical analysis of functional
MRI data. New York: Springer.
Purpose of the Course: To build up a thorough understanding of
statistical models used in the analysis of multivariate fMRI, EEG and
MEG time series.
Course Outline: Part I fMRI time series analysis and connectivity
mapping: a) Physical principles of MRI; b) General linear model;
Introduction Matlab + SPM; c) Mixed models; d) Structural equation
models; e) Vector autoregression; f) Dynamic causal model; g) State
space models. Part II EEG/MEG time series analysis and coherency
mapping: h) Spectrum analysis; i) Multitaper estimates; j) EEG/MEG
coherency mapping; k) Neural source models.
Imaging the Developing Brain
PSY 525
Credits: 3.0
Th 2:30-5:30 (subject to change)
Instructor: Dr. Rick O. Gilmore
Course Description
Contact Sherri Gilliland (sbg4@psu.edu) to register for the
course.
Meshing Techniques
CSE 598C
Credits: 3.0
T 2:30-5:30
223B IST Building
Instructor: Dr. Suzanne M. Shontz
Course Description
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