Martin Egelhaaf

22 papers Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments.
CoRR
Thorben Schoepe, Ella Janotte, Moritz B. Milde, Olivier J. N. Bertrand, Martin Egelhaaf, Elisabetta Chicca
2020 J jnl
Visually guided homing of bumblebees in ambiguous situations: A behavioural and modelling study.
PLoS Comput. Biol.
Charlotte Doussot, Olivier J. N. Bertrand, Martin Egelhaaf
2018 — conf
Inferring Temporal Structure from Predictability in Bumblebee Learning Flight.
IDEAL (1)
Stefan Meyer, Olivier J. N. Bertrand, Martin Egelhaaf, Barbara Hammer
2018 J jnl
Spiking Elementary Motion Detector in Neuromorphic Systems.
Neural Comput.
Moritz B. Milde, Olivier J. N. Bertrand, Harshawardhan Ramachandran, Martin Egelhaaf, Elisabetta Chicca
2017 J jnl
Local motion adaptation enhances the representation of spatial structure at EMD arrays.
PLoS Comput. Biol.
Jinglin Li, Jens Peter Lindemann, Martin Egelhaaf
2016 — conf
A Bio-Inspired Model for Visual Collision Avoidance on a Hexapod Walking Robot.
Living Machines
Hanno Gerd Meyer, Olivier J. N. Bertrand, Jan Paskarbeit, Jens Peter Lindemann, Axel Schneider, Martin Egelhaaf
2016 J jnl
Peripheral Processing Facilitates Optic Flow-Based Depth Perception.
Frontiers Comput. Neurosci.
Jinglin Li, Jens Peter Lindemann, Martin Egelhaaf
2015 J jnl
A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes.
PLoS Comput. Biol.
Olivier J. N. Bertrand, Jens Peter Lindemann, Martin Egelhaaf
2015 — conf
Bioinspired event-driven collision avoidance algorithm based on optic flow.
EBCCSP
Moritz B. Milde, Olivier J. N. Bertrand, Ryad Benosman, Martin Egelhaaf, Elisabetta Chicca
2014 J jnl
Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis.
Frontiers Comput. Neurosci.
Alexander Schwegmann, Jens Peter Lindemann, Martin Egelhaaf
2014 — ch.
Visual Processing in Free Flight.
Encyclopedia of Computational Neuroscience
Martin Egelhaaf
2012 J jnl
Erratum to: Saccadic flight strategy facilitates collision avoidance: closed-loop simulation of a cyberfly.
Biol. Cybern.
Jens Peter Lindemann, Holger Weiss, Ralf Möller, Martin Egelhaaf
2011 J jnl
Contrast-Independent Biologically Inspired Motion Detection.
Sensors
Birthe Babies, Jens Peter Lindemann, Martin Egelhaaf, Ralf Möller
2010 — ch.
Active Vision in Blowflies: Strategies and Mechanisms of Spatial Orientation.
Flying Insects and Robots
Martin Egelhaaf, Roland Kern, Jens Peter Lindemann, Elke Braun, Bart Geurten
2009 J jnl
Insect motion vision.
Scholarpedia
Martin Egelhaaf
2008 J jnl
Saccadic flight strategy facilitates collision avoidance: closed-loop performance of a cyberfly.
Biol. Cybern.
Jens Peter Lindemann, Holger Weiss, Ralf Möller, Martin Egelhaaf
2003 J jnl
Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs.
Neurocomputing
Jutta Kretzberg, Terrence J. Sejnowski, Anne-Kathrin Warzecha, Martin Egelhaaf
2001 J jnl
Membrane Potential Fluctuations Determine the Precision of Spike Timing and Synchronous Activity: A Model Study.
J. Comput. Neurosci.
Jutta Kretzberg, Martin Egelhaaf, Anne-Kathrin Warzecha
2001 J jnl
Neural Coding with Graded Membrane Potential Changes and Spikes.
J. Comput. Neurosci.
Jutta Kretzberg, Anne-Kathrin Warzecha, Martin Egelhaaf
1999 J jnl
Speed tuning in elementary motion detectors of the correlation type.
Biol. Cybern.
Johannes M. Zanker, Mandyam V. Srinivasan, Martin Egelhaaf
1995 J jnl
Mechanisms of dendritic integration underlying gain control in fly motion-sensitive interneurons.
J. Comput. Neurosci.
Alexander Borst, Martin Egelhaaf, Jürgen Haag
1993 J jnl
Two-Dimensional Motion Perception in Flies.
Neural Comput.
Alexander Borst, Martin Egelhaaf, H. S. Seung