M. Egelhaaf

发表

On the neuronal basis of figure-ground discrimination by relative motion in the visual system of the fly

M. Egelhaaf, 1985 .

On the neuronal basis of figure-ground discrimination by relative motion in the visual system of the fly

M. Egelhaaf, 1985 .

Dynamic response properties of movement detectors: Theoretical analysis and electrophysiological investigation in the visual system of the fly

W. Reichardt, M. Egelhaaf, Martin Egelhaaf, 1987, Biological Cybernetics.

Motion computation and visual orientation in flies.

A. Borst, M. Egelhaaf, 1993, Comparative biochemistry and physiology. Comparative physiology.

Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system.

W. Reichardt, A. Borst, M. Egelhaaf, 1989, Journal of the Optical Society of America. A, Optics and image science.

Vision in flying insects

M. Egelhaaf, R. Kern, Roland Kern, 2002, Current Opinion in Neurobiology.

Chasing a dummy target: smooth pursuit and velocity control in male blowflies

M. Egelhaaf, R. Kern, N. Boeddeker, 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.

Fly Vision: Neural Mechanisms of Motion Computation

M. Egelhaaf, 2008, Current Biology.

Characterisation of a blowfly male-specific neuron using behaviourally generated visual stimuli

M. Egelhaaf, N. Boeddeker, C. Trischler, 2007, Journal of Comparative Physiology A.

Two-Dimensional Motion Perception in Flies

Alexander Borst, Martin Egelhaaf, H. S. Seung, 1993, Neural Computation.

Direction selectivity of blowfly motion-sensitive neurons is computed in a two-stage process.

A. Borst, M. Egelhaaf, 1990, Proceedings of the National Academy of Sciences of the United States of America.

Encoding of naturalistic optic flow by a population of blowfly motion-sensitive neurons.

J. V. van Hateren, M. Egelhaaf, K. Karmeier, 2006, Journal of neurophysiology.

Transient and steady-state response properties of movement detectors.

A. Borst, M. Egelhaaf, 1989, Journal of the Optical Society of America. A, Optics and image science.

Transient and steady-state response properties of movement detectors

A. Borst, M. Egelhaaf, 1989 .

Temporal modulation of luminance adapts time constant of fly movement detectors

M. Egelhaaf, A. Borst, A. Borst, 1987, Biological Cybernetics.

Movement Detectors of the Correlation Type Provide Sufficient Information for Local Computation of the 2-D Velocity Field

W. Reichardt, M. Egelhaaf, R. Schlögl, 1988 .

A look into the cockpit of the fly: visual orientation, algorithms, and identified neurons

A. Borst, M. Egelhaaf, Alexander Borst, 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

Function and Coding in the Blowfly H1 Neuron during Naturalistic Optic Flow

J. V. van Hateren, M. Egelhaaf, R. Kern, 2005, The Journal of Neuroscience.

Properties of individual movement detectors as derived from behavioural experiments on the visual system of the fly

W. Reichardt, M. Egelhaaf, Martin Egelhaaf, 1988, Biological Cybernetics.

Temporal precision of the encoding of motion information by visual interneurons

J. Kretzberg, M. Egelhaaf, A. Warzecha, 1998, Current Biology.

Reliability of a Fly Motion-Sensitive Neuron Depends on Stimulus Parameters

J. Kretzberg, M. Egelhaaf, A. Warzecha, 2000, The Journal of Neuroscience.

Taking a goal-centred dynamic snapshot as a possibility for local homing in initially naïve bumblebees

M. Egelhaaf, R. Kern, A. Lobecke, 2018, Journal of Experimental Biology.

Mimicking honeybee eyes with a 280 ° field of view catadioptric imaging system

M. Egelhaaf, W. Stürzl, N. Boeddeker, 2010 .

Insect-Inspired Self-Motion Estimation with Dense Flow Fields—An Adaptive Matched Filter Approach

M. Egelhaaf, W. Stürzl, Simon Strübbe, 2015, PloS one.

Bumblebee Homing: The Fine Structure of Head Turning Movements

M. Egelhaaf, N. Boeddeker, L. Dittmar, 2015, PloS one.

Adaptation accentuates responses of fly motion-sensitive visual neurons to sudden stimulus changes

M. Egelhaaf, R. Kern, H. Meyer, 2009, Proceedings of the Royal Society B: Biological Sciences.

Population coding of self-motion: applying bayesian analysis to a population of visual interneurons in the fly.

H. Krapp, M. Egelhaaf, K. Karmeier, 2005, Journal of neurophysiology.

Texture-defined objects influence responses of blowfly motion-sensitive neurons under natural dynamical conditions

M. Egelhaaf, R. Kern, Thomas W. Ullrich, 2014, Front. Integr. Neurosci..

Variability of blowfly head optomotor responses

M. Egelhaaf, A. Warzecha, J. Grewe, 2009, Journal of Experimental Biology.

of Blowfly Motion-Sensitive Neurons Encoding of Naturalistic Optic Flow by a Population

M. Egelhaaf, R. Kern, R. Kern, 2006 .

Properties of Fly Visual Interneurons Inputs for Neuronal Gain and Computational Implications of Functionally Different Synaptic

M. Egelhaaf, R. Kern, A. Warzecha, 2006 .

Robust Integration of Motion Information in the Fly Visual System Revealed by Single Cell Photoablation

M. Egelhaaf, R. Kurtz, Julia Kalb, 2006, The Journal of Neuroscience.

Neural circuit tuning fly visual interneurons to motion of small objects. I. Dissection of the circuit by pharmacological and photoinactivation techniques.

A. Borst, M. Egelhaaf, A. Warzecha, 1993, Journal of neurophysiology.

Neuronal Encoding of Visual Motion in Real-Time

M. Egelhaaf, A. Warzecha, 2001 .

Robustness of the tuning of fly visual interneurons to rotatory optic flow.

H. Krapp, M. Egelhaaf, K. Karmeier, 2003, Journal of neurophysiology.

FliMax, a novel stimulus device for panoramic and highspeed presentation of behaviourally generated optic flow

J. P. Lindemann, J. H. Hateren, C. Michaelis, 2003, Vision Research.

Function of a Fly Motion-Sensitive Neuron Matches Eye Movements during Free Flight

J. P. Lindemann, J. V. van Hateren, C. Michaelis, 2005, PLoS biology.

Variability in spike trains during constant and dynamic stimulation.

M. Egelhaaf, A. Warzecha, 1999, Science.

Temporal Statistics of Natural Image Sequences Generated by Movements with Insect Flight Characteristics

J. P. Lindemann, M. Egelhaaf, A. Schwegmann, 2014, PloS one.

Information and Discriminability as Measures of Reliability of Sensory Coding

M. Egelhaaf, A. Warzecha, M. Weckström, 2007, PloS one.

Detecting visual motion: theory and models.

A. Borst, M. Egelhaaf, 1993, Reviews of oculomotor research.

Outdoor performance of a motion-sensitive neuron in the blowfly

M. Egelhaaf, R. Kern, A. Warzecha, 2001, Vision Research.

Binocular contributions to optic flow processing in the fly visual system.

R. Hengstenberg, H. Krapp, M. Egelhaaf, 2001, Journal of neurophysiology.

Early visual experience and the receptive-field organization of optic flow processing interneurons in the fly motion pathway

H. Krapp, M. Egelhaaf, R. Tabor, 2001, Visual Neuroscience.

Panoramic high dynamic range images in diverse environments

J. P. Lindemann, M. Egelhaaf, H. Meyer, 2014 .

Behavioral / Systems / Cognitive Function and Coding in the Blowfly H 1 Neuron during Naturalistic Optic Flow

J. H. Hateren, M. Egelhaaf, R. Kern, 2005 .

Synaptic interactions increase optic flow specificity

M. Egelhaaf, A. Warzecha, W. Horstmann, 2000, The European journal of neuroscience.

Texture dependence of motion sensing and free flight behavior in blowflies

J. P. Lindemann, M. Egelhaaf, 2013, Front. Behav. Neurosci..

Pattern-Dependent Response Modulations in Motion-Sensitive Visual Interneurons—A Model Study

J. P. Lindemann, M. Egelhaaf, H. Meyer, 2011, PloS one.

Neural Processing of Naturalistic Optic Flow

M. Egelhaaf, R. Kern, R. Kern, 2001, The Journal of Neuroscience.

Sensory Ecology and Neural Coding in Arthropods

M. Egelhaaf, R. Kern, A. Warzecha, 1998 .

Identifying Prototypical Components in Behaviour Using Clustering Algorithms

Martin Egelhaaf, Elke Braun, Bart R. H. Geurten, 2010, PloS one.

INTRINSIC PROPERTIES OF BIOLOGICAL MOTION DETECTORS PREVENT THE OPTOMOTOR CONTROL SYSTEM FROM GETTING UNSTABLE

Martin Egelhaaf, Anne-Kathrin Warzecha, M. Egelhaaf, 1996 .

Blowfly flight characteristics are shaped by environmental features and controlled by optic flow information

Martin Egelhaaf, Laura Dittmar, Norbert Boeddeker, 2012, Journal of Experimental Biology.

Synaptic Interactions Increase Optic ¯ow Speci®city

M. Egelhaaf, A. Warzecha, W. Horstmann, 2022 .

Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing

Martin Egelhaaf, Roland Kern, M. Egelhaaf, 2011, Front. Neural Circuits.

Dendritic integration of motion information in visual interneurons of the blowfly

Alexander Borst, Martin Egelhaaf, A. Borst, 1992, Neuroscience Letters.

State-Dependent Performance of Optic-Flow Processing Interneurons

M. Egelhaaf, A. Warzecha, 2010 .

In vivo imaging of calcium accumulation in fly interneurons as elicited by visual motion stimulation.

M Egelhaaf, A Borst, A. Borst, 1992, Proceedings of the National Academy of Sciences of the United States of America.

Natural patterns of neural activity

M. Egelhaaf, R. Kurtz, 2003, Molecular Neurobiology.

Inhibition by Recurrent Excitation: A Mechanism for Spike Synchronization in a Network of Coupled Neuronal Oscillators

Martin Egelhaaf, M. Egelhaaf, P. Benjamin, 1982 .

Synaptic transfer of dynamic motion information between identified neurons in the visual system of the blowfly

M. Egelhaaf, A. Warzecha, R. Kurtz, 2003, Neuroscience.

The Critical Role of Head Movements for Spatial Representation During Bumblebees Learning Flight

M. Egelhaaf, C. Doussot, O. Bertrand, 2021, Frontiers in Behavioral Neuroscience.

Photo-ablation of single neurons in the fly visual system reveals neural circuit for the detection of small moving objects

Alexander Borst, Martin Egelhaaf, Anne-Kathrin Warzecha, 1992, Neuroscience Letters.

Processing of synaptic information depends on the structure of the dendritic tree

M Egelhaaf, A Borst, A. Borst, 1994, Neuroreport.

On the function of local Ca 2+ signals in visual motion sensitive neurons of the blowfly (*Calliphora erythrocephala*)

Volker Dürr, Martin Egelhaaf, Rafael Kurtz, 1999 .

A preparation of the blowfly ( Cdiphoru e ~ thr ~ ceph ~ ~ ~ ) brain for in vitro electrophysiological and pharmacological studies

A. Borst, M. Egelhaaf, T. M. Brotz, 2003 .

Is there a dendritic mechanism underlying visual motion adaptation

Volker Dürr, Martin Egelhaaf, V. Dürr, 1998 .

Insect motion vision

Martin Egelhaaf, M. Egelhaaf, 2009, Scholarpedia.

Taking a semi-local dynamic snapshot as a possibility for local homing in initially naïve bumblebees

M. Egelhaaf, R. Kern, A. Lobecke, 2017, bioRxiv.

temporal characteristics of optic flow responses to objects and its dependence on the Impact of visual motion adaptation on neural

Martin Egelhaaf, Roland Kern, Rafael Kurtz, 2011 .

Local motion adaptation enhances the representation of spatial structure at EMD arrays

Jinglin Li, Martin Egelhaaf, Jens Peter Lindemann, 2017, PLoS Comput. Biol..

Translational sequences of panoramic high dynamic range images in natural environments

J. P. Lindemann, M. Egelhaaf, A. Schwegmann, 2014 .

Head orientation of walking blowflies is controlled by visual and mechanical cues

J. P. Lindemann, M. Egelhaaf, José Monteagudo, 2017, Journal of Experimental Biology.

Influence of environmental information in natural scenes and the effects of motion adaptation on a fly motion-sensitive neuron during simulated flight

Martin Egelhaaf, Roland Kern, Thomas W. Ullrich, 2014, Biology Open.

On the reliability of visual information processing in the fly motion pathway

Martin Egelhaaf, Anne-Kathrin Warzecha, Jutta Kretzberg, 2001 .

On the neuronal basis of figure-ground discrimination by relative motion in the visual system of the fly

M. Egelhaaf, 1985, Biological Cybernetics.

On the neuronal basis of figure-ground discrimination by relative motion in the visual system of the fly

M. Egelhaaf, 1985, Biological Cybernetics.

Object representation and distance encoding in three-dimensional environments by a neural circuit in the visual system of the blowfly.

Martin Egelhaaf, Roland Kern, Rafael Kurtz, 2012, Journal of neurophysiology.

Detection of object motion by a ̄y neuron during simulated ̄ight

M. Egelhaaf, B. Kimmerle, 2000 .

Two classes of visual motion sensitive interneurons differ in direction and velocity dependency of in vivo calcium dynamics.

V. Dürr, M. Egelhaaf, R. Kurtz, 2001, Journal of neurobiology.

Motion-Sensitive Neurons In Vivo Direction-Selective Adaptation in Visual Dendritic Calcium Accumulation Associated With

M. Egelhaaf, R. Kern, R. Kurtz, 2015 .

Dendritic processing of synaptic information by sensory interneurons

A. Borst, M. Egelhaaf, 1994, Trends in Neurosciences.

Membrane Potential Fluctuations Determine the Precision of Spike Timing and Synchronous Activity: A Model Study

Martin Egelhaaf, Anne-Kathrin Warzecha, Jutta Kretzberg, 2004, Journal of Computational Neuroscience.

Group Report: Influence of Brain and Computer Design on the Performance of Natural and Artificial Organisms

R Malaka, M Koch, M Egelhaaf, 1998, Zeitschrift fur Naturforschung. C, Journal of biosciences.

Edge detection by landing honeybees: Behavioural analysis and model simulations of the underlying mechanism

M. Egelhaaf, M. V. Srinivasan, R. Kern, 1997, Vision Research.

In vivo calcium accumulation in presynaptic and postsynaptic dendrites of visual interneurons.

M Egelhaaf, V Dürr, V. Dürr, 1999, Journal of neurophysiology.

Principles of visual motion detection

Alexander Borst, Martin Egelhaaf, A. Borst, 1989, Trends in Neurosciences.

Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR

Martin Egelhaaf, Mario Porrmann, Ulrich Rückert, 2020, PloS one.

Movement detectors provide sufficient information for local computation of 2-D velocity field

M. Egelhaaf, W. Reichardt, W. Reichardt, 1988, Naturwissenschaften.

A single control system for smooth and saccade-like pursuit in blowflies

Martin Egelhaaf, Norbert Boeddeker, M. Egelhaaf, 2005, Journal of Experimental Biology.

Speed tuning in elementary motion detectors of the correlation type

Johannes M. Zanker, Mandyam V. Srinivasan, Martin Egelhaaf, 1999, Biological Cybernetics.

The fine structure of honeybee head and body yaw movements in a homing task

Martin Egelhaaf, Laura Dittmar, Wolfgang Stürzl, 2010, Proceedings of the Royal Society B: Biological Sciences.

Neuronal representation of optic flow experienced by unilaterally blinded flies on their mean walking trajectories

M. Egelhaaf, M. Egelhaaf, R. Kern, 2000, Journal of Comparative Physiology A.

Visual course control in flies relies on neuronal computation of object and background motion

Martin Egelhaaf, Christian Wehrhahn, Werner Reichardt, 1988, Trends in Neurosciences.

Coupled neuronal oscillators in the snail Lymnaea stagnalis: endogenous cellular properties and network interactions.

M Egelhaaf, M. Egelhaaf, P. Benjamin, 1983, The Journal of experimental biology.

In vivo two-photon laser-scanning microscopy of Ca2+ dynamics in visual motion-sensitive neurons.

M. Egelhaaf, T. Nielsen, R. Kurtz, 2004, Biochemical and biophysical research communications.

Transfer of Visual Motion Information via Graded Synapses Operates Linearly in the Natural Activity Range

Martin Egelhaaf, Anne-Kathrin Warzecha, Rafael Kurtz, 2001, The Journal of Neuroscience.

Dendritic calcium accumulation associated with direction-selective adaptation in visual motion-sensitive neurons in vivo.

M Egelhaaf, V Dürr, V. Dürr, 2000, Journal of neurophysiology.

Disentangling of Local and Wide-Field Motion Adaptation

M. Egelhaaf, R. Kern, Jinglin Li, 2021, Frontiers in Neural Circuits.

Peripheral Processing Facilitates Optic Flow-Based Depth Perception

Jinglin Li, Martin Egelhaaf, Jens Peter Lindemann, 2016, Front. Comput. Neurosci..

Motion as a source of environmental information: a fresh view on biological motion computation by insect brains

Martin Egelhaaf, Roland Kern, Jens Peter Lindemann, 2014, Front. Neural Circuits.

Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action

Martin Egelhaaf, Norbert Boeddeker, Roland Kern, 2012, Front. Neural Circuits.

Impact of visual motion adaptation on neural responses to objects and its dependence on the temporal characteristics of optic flow.

Martin Egelhaaf, Roland Kern, Rafael Kurtz, 2011, Journal of neurophysiology.

Mechanisms of after‐hyperpolarization following activation of fly visual motion‐sensitive neurons

Martin Egelhaaf, Rafael Kurtz, M. Egelhaaf, 2009, The European journal of neuroscience.

Motion Adaptation Enhances Object-Induced Neural Activity in Three-Dimensional Virtual Environment

Martin Egelhaaf, Roland Kern, Pei Liang, 2008, The Journal of Neuroscience.

Adaptation of Velocity Encoding in Synaptically Coupled Neurons in the Fly Visual System

Martin Egelhaaf, Rafael Kurtz, Julia Kalb, 2008, The Journal of Neuroscience.

The neural computation of visual motion information.

Martin Egelhaaf, M. Egelhaaf, 2006 .

On the Computations Analyzing Natural Optic Flow: Quantitative Model Analysis of the Blowfly Motion Vision Pathway

M Egelhaaf, R Kern, J H van Hateren, 2005, The Journal of Neuroscience.

Neuronal processing of behaviourally generated optic flow: experiments and model simulations

M Egelhaaf, J P Lindemann, J. P. Lindemann, 2001, Network.

Neural Mechanisms of Visual Course Control in Insects

Martin Egelhaaf, Klaus Hausen, K. Hausen, 1989 .

The nonlinear mechanism of direction selectivity in the fly motion detection system

M. Egelhaaf, W. Reichardt, A. Borst, 2004, Naturwissenschaften.

the visual system of the blowfly three-dimensional environments by a neural circuit in Object representation and distance encoding in

Martin Egelhaaf, Roland Kern, Rafael Kurtz, 2012 .

Steering a virtual blowfly: simulation of visual pursuit

Martin Egelhaaf, Norbert Boeddeker, M. Egelhaaf, 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.

Spiking Elementary Motion Detector in Neuromorphic Systems

Martin Egelhaaf, Moritz B. Milde, Elisabetta Chicca, 2018, Neural Computation.

Bumblebees perceive the spatial layout of their environment in relation to their body size and form to minimize inflight collisions

W. Warren, S. Combes, M. Egelhaaf, 2020, Proceedings of the National Academy of Sciences.

A syntax of hoverfly flight prototypes

Martin Egelhaaf, Elke Braun, Bart R. H. Geurten, 2010, Journal of Experimental Biology.

Are there separate ON and OFF channels in fly motion vision?

M Egelhaaf, A Borst, A. Borst, 1992, Visual Neuroscience.

Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments pdf

Martin Egelhaaf, Ella Janotte, Thorben Schoepe, 2021, ArXiv.

Neural encoding of behaviourally relevant visual-motion information in the fly

Holger G. Krapp, Martin Egelhaaf, Anne-Kathrin Warzecha, 2002, Trends in Neurosciences.

Neural circuit tuning fly visual neurons to motion of small objects. II. Input organization of inhibitory circuit elements revealed by electrophysiological and optical recording techniques.

M Egelhaaf, A Borst, A K Warzecha, 1993, Journal of neurophysiology.

On the coordination of motor output during visual flight control of flies

Johannes M. Zanker, Martin Egelhaaf, Anne-Kathrin Warzecha, 1991, Journal of Comparative Physiology A.

Visual afferences to flight steering muscles controlling optomotor responses of the fly

Martin Egelhaaf, M. Egelhaaf, 1989, Journal of Comparative Physiology A.

The problem of home choice in skyline-based homing

Martin Egelhaaf, Martin M Müller, Dario Differt, 2018, PloS one.

Variability of Postsynaptic Responses Depends on the Number of Synaptic Inputs

J. Kretzberg, M. Egelhaaf, A. Warzecha, 2002 .

How Reliably Does a Neuron in the Visual Motion Pathway of fhe Fly Encode Behaviourally Relevant Information?

Martin Egelhaaf, M. Egelhaaf, A. Warzecha, 1997, The European journal of neuroscience.

Gaze Strategy in the Free Flying Zebra Finch (Taeniopygia guttata)

Martin Egelhaaf, Daniel Kress, Roland Kern, 2008, PloS one.

Nest-associated scent marks help bumblebees localizing their nest in visually ambiguous situations

M. Egelhaaf, C. Doussot, Sonja Eckel, 2023, Frontiers in Behavioral Neuroscience.

Visually guided homing of bumblebees in ambiguous situations: A behavioural and modelling study

Martin Egelhaaf, Olivier J N Bertrand, Charlotte Doussot, 2020, PLoS Comput. Biol..

Prototypical Components of Honeybee Homing Flight Behavior Depend on the Visual Appearance of Objects Surrounding the Goal

Martin Egelhaaf, Laura Dittmar, Norbert Boeddeker, 2012, Front. Behav. Neurosci..

Implications of functionally different synaptic inputs for neuronal gain and computational properties of fly visual interneurons.

Martin Egelhaaf, Jan Grewe, Nélia Matos, 2006, Journal of neurophysiology.

Mechanisms of dendritic integration underlying gain control in fly motion-sensitive interneurons

Alexander Borst, Martin Egelhaaf, Jürgen Haag, 1995, Journal of Computational Neuroscience.

A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes

Martin Egelhaaf, Jens Peter Lindemann, Olivier J. N. Bertrand, 2015, PLoS Comput. Biol..

Arrangement of optical axes and spatial resolution in the compound eye of the female blowfly Calliphora

Holger G. Krapp, Martin Egelhaaf, Hansjürgen Dahmen, 2000, Journal of Comparative Physiology A.

MINI MOTION COMPUTATION IN REVIEW AND VISUAL ORIENTATION FLIES

Martin Egelhaaf, Alexander Fiorst, M. Egelhaaf, 1993 .

Impact of Photon Noise on the Reliability of a Motion-Sensitive Neuron in the Fly's Visual System

Martin Egelhaaf, Jan Grewe, Anne-Kathrin Warzecha, 2003, The Journal of Neuroscience.

A preparation of the blowfly (Calliphora erythrocephala) brain for in vitro electrophysiological and pharmacological studies

Alexander Borst, Martin Egelhaaf, Tilmann M. Brotz, 1995, Journal of Neuroscience Methods.

Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis

Martin Egelhaaf, Jens Peter Lindemann, Alexander Schwegmann, 2014, Front. Comput. Neurosci..

A Bio-Inspired Model for Visual Collision Avoidance on a Hexapod Walking Robot

Martin Egelhaaf, Axel Schneider, Jan Paskarbeit, 2016, Living Machines.

Saccadic flight strategy facilitates collision avoidance: closed-loop performance of a cyberfly

Martin Egelhaaf, Ralf Möller, Jens Peter Lindemann, 2008, Biological Cybernetics.

Synapse distribution on VCH, an inhibitory, motion‐sensitive interneuron in the fly visual system

Alexander Borst, Martin Egelhaaf, A. Borst, 1997, The Journal of comparative neurology.

Processing of figure and background motion in the visual system of the fly

M. Egelhaaf, W. Reichardt, Ai-ke Guo, 1989, Biological Cybernetics.

On the neuronal basis of figure-ground discrimination by relative motion in the visual system of the fly

Martin Egelhaaf, M. Egelhaaf, 1985, Biological Cybernetics.

Movement detection in arthropods.

M Egelhaaf, A Borst, A. Borst, 1993, Reviews of oculomotor research.

Processing of synaptic signals in fly interneurons selectively responsive to small moving objects

Alexander Borst, Martin Egelhaaf, A. Borst, 1993 .

Neuronal encoding of object and distance information: a model simulation study on naturalistic optic flow processing

Martin Egelhaaf, Patrick Hennig, M. Egelhaaf, 2011, Front. Neural Circuits.

Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly

Martin Egelhaaf, Ralf Möller, R. Möller, 2008, PloS one.

Object detection in the fly during simulated translatory flight

B. Kimmerle, A.-K. Warzecha, M. Egelhaaf, 1997, Journal of Comparative Physiology A.

Object detection in the ̄y during simulated translatory ̄ight

B. Kimmerle, M. Egelhaaf, M. Egelhaaf, 1997 .

Precise timing in fly motion vision is mediated by fast components of combined graded and spike signals

M. Egelhaaf, M. Egelhaaf, R. Kurtz, 2009, Neuroscience.

Adaptation changes directional sensitivity in a visual motion-sensitive neuron of the fly

Martin Egelhaaf, Rafael Kurtz, Julia Kalb, 2008, Vision Research.

Synapses in the fly motion-vision pathway: evidence for a broad range of signal amplitudes and dynamics.

M. Egelhaaf, R. Kurtz, U. Beckers, 2007, Journal of neurophysiology.

Representation of behaviourally relevant information by blowfly motion-sensitive visual interneurons requires precise compensatory head movements

M Egelhaaf, J H van Hateren, R Kern, 2006, Journal of Experimental Biology.

Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs

Terrence J. Sejnowski, Martin Egelhaaf, Anne-Kathrin Warzecha, 2003, Neurocomputing.

Visually guided orientation in flies: case studies in computational neuroethology

Martin Egelhaaf, Anne-Kathrin Warzecha, Jutta Kretzberg, 2003, Journal of Comparative Physiology A.

Calcium accumulation in visual interneurons of the fly: stimulus dependence and relationship to membrane potential.

M Egelhaaf, A Borst, A. Borst, 1995, Journal of neurophysiology.

Visual motion-sensitive neurons in the bumblebee brain convey information about landmarks during a navigational task

Martin Egelhaaf, Laura Dittmar, Norbert Boeddeker, 2014, Front. Behav. Neurosci..

Impact of stride-coupled gaze shifts of walking blowflies on the neuronal representation of visual targets

Martin Egelhaaf, Daniel Kress, M. Egelhaaf, 2014, Front. Behav. Neurosci..

Head and body stabilization in blowflies walking on differently structured substrates

Martin Egelhaaf, Daniel Kress, M. Egelhaaf, 2012, Journal of Experimental Biology.

Species-Specific Flight Styles of Flies are Reflected in the Response Dynamics of a Homolog Motion-Sensitive Neuron

Martin Egelhaaf, Roland Kern, Bart R. H. Geurten, 2012, Front. Integr. Neurosci..

Random attention can explain apparent object choice behavior in free-walking blowflies

J. P. Lindemann, M. Egelhaaf, José Monteagudo, 2021, bioRxiv.

Behavioural state affects motion-sensitive neurones in the fly visual system

M Egelhaaf, M. Egelhaaf, A. Warzecha, 2010, Journal of Experimental Biology.

Responses of blowfly motion-sensitive neurons to reconstructed optic flow along outdoor flight paths

M. Egelhaaf, J. Zeil, N. Boeddeker, 2005, Journal of Comparative Physiology A.

Image statistics of the environment surrounding freely behaving hoverflies

M. Egelhaaf, Karin Nordström, O. Dyakova, 2019, Journal of Comparative Physiology A.

Optic flow based spatial vision in insects

M. Egelhaaf, 2023, Journal of Comparative Physiology A.

Neural Coding with Graded Membrane Potential Changes and Spikes

Martin Egelhaaf, Anne-Kathrin Warzecha, Jutta Kretzberg, 2001, Journal of Computational Neuroscience.

Goal seeking in honeybees: matching of optic flow snapshots?

Martin Egelhaaf, Laura Dittmar, Wolfgang Stürzl, 2010, Journal of Experimental Biology.

Encoding of naturalistic optic flow by motion sensitive neurons of nucleus rotundus in the zebra finch (Taeniopygia guttata)

Martin Egelhaaf, Roland Kern, Dennis Eckmeier, 2013, Front. Integr. Neurosci..

Visual Processing in Free Flight

Martin Egelhaaf, M. Egelhaaf, 2019, Encyclopedia of Computational Neuroscience.

Chasing Behavior and Optomotor Following in Free-Flying Male Blowflies: Flight Performance and Interactions of the Underlying Control Systems

Martin Egelhaaf, Roland Kern, M. Egelhaaf, 2010, Front. Behav. Neurosci..

Bumblebees display characteristics of active vision during robust obstacle avoidance flight.

W. H. Warren, M. Egelhaaf, S. Ravi, 2022, The Journal of experimental biology.

Gap perception in bumblebees

M. Egelhaaf, S. Ravi, A. Fisher, 2018, Journal of Experimental Biology.

Dynamic properties of two control systems underlying visually guided turning in house-flies

Martin Egelhaaf, M. Egelhaaf, 1987, Journal of Comparative Physiology A.

7 Novel Approaches to Visual Information Processing in Insects: Case Studies on Neuronal Computations in the Blowfly

Martin Egelhaaf, Jan Grewe, Anne-Kathrin Warzecha, 2005 .

Adaptation changes directional sensitivity in a visual motion-sensitive neuron of the fly

M. Egelhaaf, R. Kurtz, Julia Kalb, 2008, Vision Research.

Image statistics of the environment surrounding freely behaving hoverflies

Martin Egelhaaf, Karin Nordström, Olga Dyakova, 2019, Journal of Comparative Physiology A.

Motion adaptation leads to parsimonious encoding of natural optic flow by blowfly motion vision system.

M Egelhaaf, J Heitwerth, R Kern, 2005, Journal of neurophysiology.

Response latency of a motion-sensitive neuron in the fly visual system: dependence on stimulus parameters and physiological conditions

Martin Egelhaaf, Anne-Kathrin Warzecha, M. Egelhaaf, 2000, Vision Research.

The Behavioral Relevance of Landmark Texture for Honeybee Homing

Martin Egelhaaf, Laura Dittmar, Wolfgang Stürzl, 2011, Front. Behav. Neurosci..

Localized direction selective responses in the dendrites of visual interneurons of the fly

Martin Egelhaaf, Rafael Kurtz, Philip Tinnefeld, 2010, BMC Biology.

Representation of behaviourally relevant information by blowfly motion-sensitive visual interneurons requires precise compensatory head movements

J. H. Hateren, M. Egelhaaf, Roland Kern, 2006, Journal of Experimental Biology.

Performance of Fly Visual Interneurons during Object Fixation

M Egelhaaf, B Kimmerle, M. Egelhaaf, 2000, The Journal of Neuroscience.

Is there a separate control system mediating a “centering response” in honeybees?

A. Borst, M. Egelhaaf, 1992, Naturwissenschaften.

Spiking Elementary Motion Detector in Neuromorphic Systems

Moritz B. Milde, M. Egelhaaf, E. Chicca, 2018, Neural Computation.

Visual and movement memories steer foraging bumblebees along habitual routes.

M. Egelhaaf, S. Ravi, C. Doussot, 2021, The Journal of experimental biology.

Novel approaches to visual processing in insects: Case studies on neuronal computations in the blowfly

Martin Egelhaaf, Jan Grewe, Anne-Kathrin Warzecha, 2004 .

Active Vision in Blowflies: Strategies and Mechanisms of Spatial Orientation

Martin Egelhaaf, Roland Kern, Elke Braun, 2010, Flying Insects and Robots.

Bioinspired event-driven collision avoidance algorithm based on optic flow

Ryad Benosman, Martin Egelhaaf, Moritz B. Milde, 2015, 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP).

Mimicking honeybee eyes with a 280° field of view catadioptric imaging system

M Egelhaaf, W Stürzl, N Boeddeker, 2010, Bioinspiration & biomimetics.