COGS 200: Modeling and Interpreting Brain Dynamics (Winter 2014)

Friday  2-4:30PM  CSB 003

Course website:


Virginia de Sa (Professor)

/ phone: 858 822 5095

Office Hours: Tu 11-12 and TBD in SSRB 242

Course Description

COGS 200 this quarter is on the topic of brain dynamics.  Speakers
will investigate such diverse issues as finding episodic memories in
single-cell neural signals, predicting memory performance from EEG, and
investigating imitation and motor learning  through modeling and interpretation of
dynamic neural signals.  The discussed work is derived from a variety
of techniques including single cell recordings, EEG analysis, fMRI,
TMS, dCS, and computational modeling.

Course Details and Policies

For each class: 
A) Read the required readings
B) Prepare a short (1 page or less) summary of each paper
C) Write a few lines on one new thing you learned in the papers OR one new thought you had from the readings
D) Write three questions you have about the papers (can vary from simple questions about understanding, to more deeper questions of interpretation).  We will discuss/ask these in class.

At the end of the class, a final paper  (3~ 5 pages) that discusses one or more topic areas/talks from the class is due.
Here is a rubric with expectations for the paper.  The paper is due March 22nd
- Please email to me with subject: COGS 200 Final Paper - your name

Course Schedule

Week Date Topic Readings Speaker Website Talk Title
1 Fri Jan 10 Intro and Logistics
2 Fri Jan 17 Scott Makeig
Mining event-related brain dynamics

Imaging Natural Cognition in Action

Evolving Signal Processing for Brain-Computer Interfaces (OPTIONAL)
Opening New Windows into Functional Brain Dynamics
3 Fri Jan 24 Virginia de Sa
Using single-trial EEG to predict and analyze subsequent memory

The effect of real-time feedback valence on
motor imagery performance

Effect of visual feedback on the occipital-parietal-motor network in Parkinson's disease with freezing of gait (optional)
Adventures in single-trial EEG classification
4 Fri Jan 31 Todd Coleman
Feedback Information-Theoretic
    Approach to the Design of Brain-Computer Interfaces

Team Decision Theory and Brain-Machine

An Analytic Spatial Filter
    and Hidden Markov Model for Enhanced Information Transfer Rate in
    EEG-Based Brain Computer Interfaces


A hierarchical Bayesian
    approach for learning sparse spatio-temporal decompositions of
    multichannel EEG
Feedback information theory, Bayesian inference, and brain computer interfaces
5 Fri Feb 07 TDLC All hands meeting  motor-perceptual link session: NOTE THIS WILL TAKE PLACE IN the SAN DIEGO SUPERCOMPUTER CENTER AUDITORIUM.  If you can, please come for the start of the motor-perceptual link session at 1:30.   The main talks will be over at 3:00 but you are welcome to stay for more discussion til 4:30.
Link to TDLC All hands meeting schedule
1:30 Eye movements for information maximization
1:47 Eye movements in children with autism
2:04 Recognizing activities from scan paths
2:21 Using expert-based highlighting to boost learning
2:38 Using classifier-based highlighting to boost performance
2:57 Training facial expression generation improves facial expression perception
6 Fri Feb 14 Shunan Zhang
A Bayesian analysis of human decision-making on bandit problems

Forgetful Bayes and myopic planning:  Human learning and decision-making in a bandit setting
Human Exploration and Exploitation in Bandit Problems
7 Fri Feb 21 Tim Mullen
Wiener-Granger Causality: A well established methodology

Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG

The SIFT Handbook and User Manual (OPTIONAL)

Into the wild: Towards real-time mobile brain imaging, dynamical
modeling, and cognitive state prediction
8 Fri Feb 28 Marco Iacoboni
Controlling automatic imitative tendencies: Interactions between mirror neuron and cognitive control systems

Single-Neuron responses in humans during execution and observation of actions

Neural processing of race during imitation: Self-Similarity versus social status

Mirrors Evolving: How to Implement Control of a Widely Diffuse System

9 Fri Mar 07 Doug Nitz & Andrea Chiba
Finding episodic memories in neural signals

Temporally selective contextual encoding
in the dentate gyrus of the hippocampus

Reverse replay of behavioural sequences in
hippocampal place cells during the awake state
Finding episodic memories in neural signals
10 Fri Mar 14 Thorsten Zander
Combining Eye Gaze Input with a Brain-Computer Interface for Touchless Human-Computer Interaction

Towards BCI-based implicit Control in Human-Computer Interaction
Passive Brain-Computer Interfaces for Automated Adaptation and
Implicit Control in Human-Computer Interaction