Dr. Wulfram Gerstner

Professor

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Biography

Wulfram Gerstner is the Director of the Laboratory of Computational Neuroscience at École Polytechnique Fédérale de Lausanne (EPFL). His research focuses on computational neuroscience, specifically modeling spiking neurons, spike-timing dependent plasticity, neuronal coding, and neural dynamics of single neurons and populations. He is involved in exploring the link between biologically plausible learning rules and the behavioral manifestations of learning. Gerstner teaches courses tailored for physicists, computer scientists, mathematicians, and life scientists at EPFL. He has an extensive academic background, having studied physics at the University of Tübingen and Ludwig Maximilians University in Munich, followed by a PhD in theoretical physics at the Technical University of Munich. Gerstner joined EPFL in 1996, initially as an assistant professor, and became an associate professor in 2001 and a full professor with a double appointment in the School of Computer and Communication Sciences and the School of Life Sciences in 2006. He has been an invited speaker at numerous international conferences and workshops and served on the editorial boards of various journals in the field.

Research Interests

Experience

Director

1996-01-01 — Present

Laboratory of Computational Neuroscience, EPFL • Lausanne, Switzerland

Leading research and academic initiatives in computational neuroscience, focusing on models of spiking neurons and learning dynamics.

Associate Professor

2001-02-01 — 2006-08-01

EPFL • Lausanne, Switzerland

Transitioned from assistant to associate professorship, contributing to research and teaching in computational neuroscience.

Professor

2006-08-01 — Present

EPFL • Lausanne, Switzerland

Full professor with a dual appointment in the School of Computer and Communication Sciences and the School of Life Sciences.

Awards

#2018

Valentino Braitenberg Award in Computational Neuroscience

2018-01-01
#

Member

2019-01-01

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.