Jens Peter Lindemann
Jens Peter Lindemann
Neurobiology, Faculty of Biology & CITEC, Bielefeld University
Verified email at - Homepage
Cited by
Cited by
Function of a fly motion-sensitive neuron matches eye movements during free flight
R Kern, JH Van Hateren, C Michaelis, JP Lindemann, M Egelhaaf
PLoS Biol 3 (6), e171, 2005
On the computations analyzing natural optic flow: quantitative model analysis of the blowfly motion vision pathway
JP Lindemann, R Kern, JH Van Hateren, H Ritter, M Egelhaaf
Journal of Neuroscience 25 (27), 6435-6448, 2005
Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action
M Egelhaaf, N Boeddeker, R Kern, R Kurtz, JP Lindemann
Frontiers in neural circuits 6, 108, 2012
FliMax, a novel stimulus device for panoramic and highspeed presentation of behaviourally generated optic flow
JP Lindemann, R Kern, C Michaelis, P Meyer, JH Van Hateren, ...
Vision research 43 (7), 779-791, 2003
Responses of blowfly motion-sensitive neurons to reconstructed optic flow along outdoor flight paths
N Boeddeker, JP Lindemann, M Egelhaaf, J Zeil
Journal of Comparative Physiology A 191 (12), 1143-1155, 2005
Saccadic flight strategy facilitates collision avoidance: closed-loop performance of a cyberfly
JP Lindemann, H Weiss, R Möller, M Egelhaaf
Biological cybernetics 98 (3), 213-227, 2008
A bio-inspired collision avoidance model based on spatial information derived from motion detectors leads to common routes
OJN Bertrand, JP Lindemann, M Egelhaaf
PLoS computational biology 11 (11), e1004339, 2015
Motion as a source of environmental information: a fresh view on biological motion computation by insect brains
M Egelhaaf, R Kern, JP Lindemann
Frontiers in neural circuits 8, 127, 2014
Neuronal processing of behaviourally generated optic flow: experiments and model simulations
R Kern, M Lutterklas, C Petereit, JP Lindemann, M Egelhaaf
Network: computation in neural systems 12 (3), 351-369, 2001
Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis
A Schwegmann, JP Lindemann, M Egelhaaf
Frontiers in computational neuroscience 8, 83, 2014
Pattern-Dependent response modulations in motion-sensitive visual interneurons—a model study
HG Meyer, JP Lindemann, M Egelhaaf
PLoS One 6 (7), e21488, 2011
Bio-inspired motion detection in an FPGA-based smart camera module
T Köhler, F Röchter, JP Lindemann, R Möller
Bioinspiration & biomimetics 4 (1), 015008, 2009
Visual navigation of a virtual blowfly
JP Lindemann
Local motion adaptation enhances the representation of spatial structure at EMD arrays
J Li, J Lindemann, M Egelhaaf
PLoS computational biology 13 (12), e1005919, 2017
Visually guided orientation in flies: case studies in computational neuroethology
M Egelhaaf, N Böddeker, R Kern, J Kretzberg, JP Lindemann, ...
Journal of Comparative Physiology A 189 (6), 401-409, 2003
A bio-inspired model for visual collision avoidance on a hexapod walking robot
HG Meyer, OJN Bertrand, J Paskarbeit, JP Lindemann, A Schneider, ...
Conference on Biomimetic and Biohybrid Systems, 167-178, 2016
Texture dependence of motion sensing and free flight behavior in blowflies
JP Lindemann, M Egelhaaf
Frontiers in behavioral neuroscience 6, 92, 2013
Temporal statistics of natural image sequences generated by movements with insect flight characteristics
A Schwegmann, JP Lindemann, M Egelhaaf
PloS one 9 (10), e110386, 2014
Active vision in blowflies: strategies and mechanisms of spatial orientation
M Egelhaaf, R Kern, JP Lindemann, E Braun, B Geurten
Flying Insects and Robots, 51-61, 2009
Contrast-independent biologically inspired motion detection
B Babies, JP Lindemann, M Egelhaaf, R Möller
Sensors 11 (3), 3303-3326, 2011
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