Universität Bielefeld Lehrstuhl für Neurobiologie Universität Bielefeld

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 · Universität Bielefeld
   · Faculty of Biology
     · Department of Neurobiology - University of Bielefeld
       · Members of the Department
 
Members of the Department
· Former Members
· Elke Braun
· Laura Dittmar
· Martin Egelhaaf
· Bart Geurten
· Patrick Hennig
· Roland Kern
· Daniel Kress
Jens Peter Lindemann
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· Marcel Mertes
· Hanno Gerd Meyer
· Heinrich Münz
· Diana Rien
· Alexander Schwegmann
· Christian Spalthoff
· Wolfgang Stürzl
· Thomas Ullrich
· Anne- Kathrin Warzecha

 
 
Jens Peter Lindemann
 
Personal Information
 
  Jens Peter Lindemann
Name Jens Peter Lindemann
Date of birth March 16th 1972
Nationality German
Marital Status married, three children
Room No W4-117
   
Phone + 49.5 21.106-5576
Mail jens.lindemann@uni-bielefeld.de
   
 
Education
 
 
1998 - 2006 Ph.D. project in the laboratory of Prof. Dr. M. Egelhaaf

 
2000 - 2003 Member of the Graduate and Postdoctoral Programme "Strategies & Optimisation of Behaviour"

 
1998 Diploma-Thesis: "Modelling the elementary motion detection of the fly with artificial neural networks" in the laboratories of Prof. Dr. M. Egelhaaf and Prof. Dr. H. Ritter, Neuroinformatics, Bielefeld (Germany)

 
1992 - 1998 Undergraduate Studies in Applied Computer Science in the natural sciences at Bielefeld University, Bielefeld (Germany)

 
1991 - 1992 Civilian service

 
1991 General qualification for university entrance (~‘A-levels’)

 
 
Research interests
 
   
My current research is focused on two major topics:

1. Development of a virtual reality system for fast flying insects. The highly specialised sensory and motor systems of these animals necessitate special hard -and software for appropriate animal- machine interfaces. One task is the generation and presentation of realistic panoramic images at high frame rates, another task is the measurement of motor actions of the animal and the realtime feedback to the image generation.

2. Modelling of neural mechanisms using numerical model simulations to test the plausibility of experimentally established hypotheses. Since the neural machanisms of behavioural control work in closed feeback loops, a seemingly simple mechanism can show unexpected emergent properties in a closed loop situation.
 
 
List of Publications
   
 
Publications in peer-reviewed journals  
Köhler T., Röchter F., Lindemann J.P., Möller R.: Bio-inspired motion detection in an FPGA-based smart camera module. Bioinspiration & Biomimetics 4 (1:015008) DOI 10.1088/1748-3182/4/1/015008 (2009).

 
Lindemann J.P., Weiss H., Möller R., Egelhaaf M.: Saccadic flight strategy facilitates collision avoidance: closed-loop performance of a cyberfly. Biol. Cybern. DOI 10.1007/s00422-007-0205-x (2008).

 
Kern R., van Hateren H.J., Michaelis C., Lindemann J.P., Egelhaaf M.: Function of a fly motion-sensitive neuron matches eye movements during free flight PLoS-Biology 3(6):e171, (2005).

 
Lindemann J.P., Kern R., van Hateren H., Egelhaaf M.: On the computations analysing natural optic flow: Quantitative model analysis of the blowfly motion vision pathway. J.Neurosci. 25(27):6435-48 (2005).

 
Boeddeker N., Lindemann J. P., Egelhaaf M., Zeil J.: Responses of blowfly motion-sensitive neurons to reconstructed optic flow along outdoor flight paths. J. Comp. Physiol. A, 25(27): 6435-48 (2005)

 
J.P. Lindemann, R. Kern, C. Michaelis P. Meyer, J.H. van Hateren and M. Egelhaaf: Flimax, a novel stimulus device for panoramic and highspeed presentation of behaviorally generated optic flow, Vision Research 43(7):779–79 (2003).

 
M. Egelhaaf, N. Böddeker, R. Kern, J. Kretzberg, J. P. Lindemann and A.-K. Warzecha: Visually guided orientation in flies: case studies in computational neuroethology, J.Comp.Physiol.A 189:401-409 (2003).

 
R. Kern, M. Lutterklas, C. Petereit, J.P. Lindemann and M. Egelhaaf:
Neuronal processing of behaviourally generated optic flow: experiments and model simulations, Network 12:351–369, (2001).

 
Peer-reviewed conference papers  
Köhler T., Röchter F., Lindemann J.P., Möller R.: A flexible bio-inspired FPGA-based high-speed camera with 10,000 elementary motion detectors. In: Biological approaches for Engineering: Conference Proceedings (ed. R. Allen) 129 - 134 (2008).

 
Ph.D. Thesis  
Visual navigation of a virtual blowfly

 
optic flow fly neuron calcium flimax
 
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