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Participants SMARTSTART 1

2019/20 | 2018/19 | 2017/18 | 2016/17

Participants SMARTSTART 2

2019/20 | 2018/19 | 2017/18 | 2016/17

 

 

 

Faculty

The SMARTSTART core faculty is responsible for organizing and running the program. They are supported by the associated faculty at the respective institutions who agreed to participate in the teaching of the SMARTSTART program.

Members of the faculty can be mentors for SMARTSTART participants during the 12-month program. They advice and guide students in the selection of their courses to complement their previous studies and extend their scientific skills. For SMARTSTART 2, at least one mentor has to be SMARTSTART faculty member.

Members of the SMARTSTART faculty are from various institutions in Germany and represent many aspects of research fields within computational neuroscience:

Berlin

Klaus Obermayer*

Neural information processing

Petra Ritter*

Brain simulation

Susanne Schreiber*

Computational neurophysiology

Bielefeld

Martin  Egelhaaf*

Neurobiology

Bochum

Sen Cheng*

Computational neuroscience

Bremen

Adele  Diederich*

Cognitive science

Udo Ernst*

Theoretical neurophysics

Chemnitz

Fred Hamker*

Neurocognitive models

Cologne

Martin Nawrot*

Computational systems neuroscience

Cottbus-Senftenberg

Stefan Glasauer

Sensorimotor

Darmstadt

Constantin Rothkopf*

Computational cognition

Frankfurt a. M.

Hermann Cuntz

Computational neuroanatomy

Julijana Gjorgjieva

Computation in neural circuits

Matthias Kaschube*

Assembly, function, and maintainance of brain circuits
Tatjana Tchumatchenko Theory of neural dynamics

Visvanathan Ramesh*

Systems engineering for visual intelligence

Freiburg i. Br.

Ulrich Egert

Neurophysiology, neurotechnology

Stefan Rotter*

Dynamics and plasticity of brain networks

Gießen

Roland  Fleming*

Experimental psychology

Peter Jedlicka

Computer-based modelling

Göttingen

Andreas Neef*

Biophysics of neural computation

Viola Priesemann

Neural dynamics and information processing

Michael Wibral

Data-driven understanding of cortical information processing

Fred Wolf*

Neural circuit evolution

Hamburg

Claus Hilgetag*

Brain connectivity

Jülich/Aachen

Markus Diesmann*

Computational neurophysics

Sonja Grün*

Statistical neuroscience

Moritz Helias

Theory of multi-scale neural networks

Leipzig

Jürgen Jost*

Theory of cognition and mathematical neuroscience

Magdeburg

Jochen Braun*

Cognition biology

Munich

Andreas Herz*

Computational neuroscience

Werner Hemmert 

Bio-inspired information processing

Christian Leibold*

Computational neuroscience

Jakob Macke*

Computational neuroengineering

Oldenburg

Jannis Hildebrandt

Auditory neuroscience

Jutta  Kretzberg

Computational neuroscience

Osnabrück

Peter König*

Computational cognition

Gordon Pipa

Cognitive science

Tübingen

Jan Benda*

Neuroethology

Philipp Berens

Vision research

Matthias Bethge*

Perceiving neural networks

Peter Dayan

Decision making in the brain

Anna Levina

Self-organization, criticality and optimality

Zhaoping Li

Computational vision/olfaction

Fabian Sinz

 Neuronal building blocks of intelligence

Felix Wichmann

Neural information processing

*Member of the core facutly

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Participants of SMARTSTART 1

2019/2020

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2018/2019

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2017/2018

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2016/2017

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Participants of SMARTSTART 2

2019/2020

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2018/2019

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2017/2018

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2016/2017

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