Dr. Wulfram Gerstner

Professor

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Biography

Wulfram Gerstner is a professor and the Director of the Laboratory of Computational Neuroscience at the École Polytechnique Fédérale de Lausanne (EPFL). His research focuses on computational neuroscience, particularly modeling spiking neurons and studying neuronal dynamics and learning rules. Gerstner is well-known for his work on spike-timing dependent plasticity and has written extensively on how spiking neurons can encode information and how this relates to learning. He teaches various courses at EPFL, bridging theoretical physics and computational neuroscience, contributing to the education of future physicists, computer scientists, and life scientists. He has earned a significant reputation in his field with numerous publications and has served on editorial boards for key neuroscience journals. Furthermore, Gerstner's professional journey includes an educational background in Physics from Ludwig-Maximilians-University Munich, culminating in a doctorate from the Technical University of Munich, with postdoctoral experiences at prestigious institutions such as Brandeis University. He joined EPFL in 1996, advancing from assistant professor to full professor. His contributions have been recognized with several awards, including the Valentino Braitenberg Award for Computational Neuroscience.

Research Interests

Experience

Professor

— Present

École Polytechnique Fédérale de Lausanne • Lausanne, Switzerland

Joined as assistant professor and promoted to associate professor in 2001, and full professor in 2006, with a dual appointment.

Awards

#

Valentino Braitenberg Award

#

Member

Courses

Computational Neuroscience: Neuronal Dynamics Brain-Style Learning Neural Networks

Requirements for École Polytechnique Fédérale de Lausanne

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a related field Strong foundation in Calculus, Linear Algebra, and Probability Proficiency in programming (Python, Java, or C++)
Application Checklist
  • Curriculum Vitae
  • Copy of University Degree(s)
  • Official Transcripts
  • Statement of Purpose
  • Copy of Passport or Identity Card
  • Three Letters of Recommendation
  • Proof of English Proficiency
Specialization Notes

Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.