Michael Herzog

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Full Professor

michael.herzog@epfl.ch +41 21 693 96 46 http://lpsy.epfl.ch/people/herzog

EPFL SV BMI LPSY
SV 2807 (Bâtiment SV)
Station 19
CH-1015 Lausanne

+41 21 693 96 46
+41 21 693 18 12
Office: SV 2807
EPFL > SV > BMI > LPSY

Web site: Web site: https://lpsy.epfl.ch/

EPFL SV SSV-GE
SG 1310.3 (Bâtiment SG)
Station 15
CH-1015 Lausanne

+41 21 693 96 46
Office: SG 1310.3
EPFL > SV > SV-SSV > SSV-ENS

Web site: Web site: https://sv.epfl.ch/education

EPFL AVP-PGE EDNE-ENS
SV 3513 (Bâtiment SV)
Station 19
CH-1015 Lausanne

+41 21 693 96 46
Office: SV 2807
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDNE-ENS

Web site: Web site: https://go.epfl.ch/edne

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Administrative data

Teaching & PhD

Teaching

Life Sciences Engineering

PhD Programs

Doctoral Program in Neuroscience

Doctoral Program in Electrical Engineering

PhD Students

Ceylan Gizay, Choung Oh-Hyeon, Garobbio Simona Adele, Gordillo Lopez Dario Alejandro, Hinrichs Sandrine, Lin Wei-Hsiang, Lönnqvist Ben Henrik, Machiraju Harshitha, Menétrey Maëlan Quentin, Ozkirli Ayberk, Scialom Elsa Irina, Vogelsang Lukas,

Past EPFL PhD Students

Aberg Carl Kristoffer , Boi Marco , Bornet Alban , Chicherov Vitaly , Cretenoud Aline Françoise , Doerig Adrien Christophe , Drissi Daoudi - Kleinbauer Leila , Favrod Ophélie Gladys , Grzeczkowski Lukasz , Jastrzebowska Maya Anna , Lauffs Marc Michael , Manassi Mauro , Otto Thomas , Ramos Antunes Da Cruz Janir Nuno , Rüter Johannes , Saarela Toni , Sayim Bilge , Scharnowski Frank , Tartaglia Elisa , Thunell Yvonne Evelina , Xu He ,

Courses

Understanding statistics and experimental design

This course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental design and to avoid common pitfalls of statistical reasoning. There is space to discuss ongoing work.

Neuroscience: behavior and cognition

The goal is to guide students into the essential topics of Behavioral and Cognitive Neuroscience. The challenge for the student in this course is to integrate the diverse knowledge acquired from those levels of analysis into a more or less coherent understanding of brain structure and function.