L&S 88 Data Science for Cognitive Neuroscience

A Spring 2017 Data Science Connector Course

CCN:34414 | Fatma (Imamoglu) Deniz, Leila Wehbe, Mark Lescroart | Tuesday 1:00-3:00 PM | Evans B6 | Units: 2


Welcome to Data Science for Cognitive Neuroscience! This page will contain links to course materials and to the bCourses website. The latest syllabus is below.

Date Module Lecture Slides/Notebooks Lab Notes
1/24 Introduction to Cognitive Neuroscience Slides01 Notepad01
1/31 Introduction to functional magnetic resonance imaging (fMRI) Lecture02
Lecture02 with breakout sessions
Lab02 solution
2/07 Data manipulation in 3D Lecture03
Lecture03 with breakout sessions
Lab03 solution
2/14 Data normalization, logical indexing, surface visualization Lecture04
Lecture04 with breakout sessions
Lab04 solution
2/21 Masking and Event-related averages Lecture05
Lecture05 with breakout sessions
Lab05 solution
2/28 EEG introduction, event-related averages in EEG Lecture06
Lecture06 with breakout sessions
Lab06 solution
3/7 Data interpretation Lecture07
Lecture07 with breakout sessions
(No HW this week) Notepad07
3/14 Midterm Midterm Exam (No HW this week) (No notepad this week)
3/21 Hemodynamic response function and convolution Lecture08
Lecture08 with breakout sessions
Lab08 Solution
4/4 Correlation, Regression and Modeling Lecture09
Lab09 solution
4/11 Multiple Regression and Hypothesis Testing Lecture10
Lecture10 breakout
Lab10 solution
4/18 Encoding Models Using Complex Stimuli Lecture11
Lecture11 with breakout sessions
Lab11 Solution
4/25 Encoding Models Using Complex Stimuli Lecture12
Lecture12 breakout
Final Review (w/ potential extra credit)
Final Review Hints
Final Cheat Sheet
Final Review solutions
5/11 Final Final Exam (No HW this week) (No notepad this week)

Course Description

The human brain is a complex information processing system and is currently the topic of multiple fascinating branches of research. Understanding how it works is a very challenging scientific task. In recent decades, multiple techniques for imaging the activity of the brain at work have been invented, which has allowed the field of cognitive neuroscience to flourish. Cognitive neuroscience is concerned with studying the neural mechanisms underlying various aspects of cognition, by relating the activity in the brain to the tasks being performed by it. This typically requires exciting collaborations with other disciplines (e.g. psychology, biology, physics, computer science).

You should take this course if you’re interested in how the brain works and how you can use cutting edge brain imaging and data analysis tools to study it. During this course, you will learn tools based on the python programming language to understand, manipulate, and explore human brain recordings (such as ECoG, EEG, MEG and fMRI). You will learn to formulate hypotheses about how the brain represents information and then test these hypotheses using real world data. You will learn useful analysis methods to help you derive conclusions from brain recording data.

By giving you first hand experience in data analysis of brain data, this course will provide you an insight into the experiments and data used in the cognitive neuroscience field. It will allow you to build a better understanding of the current cutting edge research in cognitive neuroscience. Hence, you will be able to keep up with recent advances in this field and/or will be able to apply your knowledge by doing research here at Berkeley. Additionally, the data analysis techniques and the investigation approaches that you will learn will be easily transferable to research in other disciplines.

Contact Information

Instructors:Fatma (Imamoglu) Deniz, Leila Wehbe, Mark Lescroart



Office Hours

Monday, 10:00 - 11:00 AM


5403 Tolman Hall