Wintersemester 2023/24

The SPM course is designed for students wanting to be introduced in the fMRI field ranging from beginning to intermediate skill levels. It will provide the basic knowledge of the MR signal, the MRI scanner and the endogenous BOLD contrast reflecting the oxygenation level of the brain´s vasculature. Furthermore, it will cover all aspects of the experimental design, the BOLD specificity and the definition of a General Linear Model (GLM) that will be statistically analysed and optimized by means of SPM12 in order to show significant cortical activations. A practical demonstration of all the SPM12 tools will be given including the batch analysis and the Dynamic Causal Modelling (DCM).

Note: The course is the same in WS and SS

This course is designed for students wanting to be introduced into the MRI field (especially into the MRI research). It will provide the basic knowledge of the MR signal, the hardware of a MRI scanner and just a few details about the software of an MR unit. Progressively, we will consider aspects of well known MRI standards, safety regulations and in particular the requirements needed in order to properly fulfill the L1/L2 operator duties. 

Werkzeugkasten Research Skills (MPS-105.3): Datenvisualisierung

Prof. Dr. Gregor Volberg

Di 12 - 14 ct

Raum R009

Volberg - Kliegl - Frank - Reichardt - Baldauf

"Standardverfahren in der Psychologie" (Prof. Dr. Gregor Volberg)

Modul PSY-M02.2, "Quantitative Methoden in der Psychologie".

2 SWS / 4 ECTS in vier Parallelgruppen: Mo 16-18, Di 14-16 und 16-18, Mi 16-18

Alle Zeiten und Räume im Campusportal. 

In this seminar, students will learn about fundamental processes underlying high level visual processing, and key paradigms used to examine these processes. In a seminar format, we will read, present and discuss journal articles, review articles and book chapters. Throughout the seminar we will learn how to read, present and critically evaluate empirical studies targeting these topics in an interactive format.
At the end of the seminar, students will be able to (a) read and evaluate primary and secondary scientific articles, (b) describe fundamental neural mechanisms underlying high level visual processing, and (c) be familiar with key paradigms and the way these can be applied to novel questions. The seminar will be held entirely in English.

Dieses Seminar ist dem Modul PSY-BSc-M19.3 zugeordnet.

In der Forschung am Lehrstuhl Cognitive Neuroscience geht es um die Erforschung der Prozesse, die an der Wahrnehmung, dem Erkennen und der Vorhersage von Handlungen beteiligt sind. Wie können wir z.B. abschätzen, ob ein Kind am Strassenrand dem Ball auf die Strasse hinterher läuft, oder ob es stehen bleibt? Um besser zu verstehen, wie wir handlungsrelevante Reizinformationen aufnehmen und verarbeiten, werden wir in diesem Kurs gemeinsam ein Experiment planen, durchführen und auswerten. Dazu werden wir in erster Linien Methoden der Psychophysik benutzen.

Der Schwerpunkt unseres Kurses liegt hierbei auf der Erforschung kontextueller Einflüsse auf die Handlungswahrnehmung.

Over the past decade, Machine Learning has become a powerful tool not only in Computer Vision, but also in Cognitive and Clinical Neuroscience. In this seminar, we are going to provide an overview of the various ways in which machine learning is currently being used for decoding and classification of neural data in an interactive format. Moreover, we are going to address the most recent developments, debates in the field, and possible future directions. Throughout the seminar, we will provide examples for the use of machine learning in neuroscience from our own research groups.

Corona-Update: Die Veranstaltung wird in Präsenzform geplant, wird aber gegebenenfalls auf ein digitales Format umgestellt, falls dies erforderlich ist.

Arbeitsgruppe Biomedizinische Bildgebung (Prof. Jens Schwarzbach) & Lehrstuhl für Cognitive Neuroscience (Prof. Lingnau)

3 SWS (davon 1 SWS nach Vereinbarung)