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Bremen Theoretical Neuroscience Running lecture

Theoretical Neurosciences: Statistical Methods

The course will start with rehearsing methods from descriptive statistics, in particular on concepts important for understanding neuronal data. Subsequently, we will focus in parallel on methods useful for investigating the brain as an information-processing system, and on methods needed to analyze behavioral or neural data (e.g., EEG, fMRI, Electrophysiology). In this course, you will acquire the necessary skills to perform analysis of neural or behavioral data in a lab situation. In particular, you will learn how to plan experiments yielding meaningful statistics, and how to select and to apply appropriate statistical tests. In parallel, you will understand how to compute with probabilities and how to perform inference and estimation on noisy data. Hereby you acquire the competency to study encoding and decoding of information of the brain.

Lecture,
Math + Programming Exercises,
weekly (alternating lect/exerc.)

Master, (Bachelor)

Maths: 1 semester
Programming: none
Neuroscience: none

University of Bremen

Fehr et al.
Winter, starting on 15th October till 23rd November 2018, Tuesday and Thursday 12-2 pm / 2 ECTS
Visit the course website