Heiko Neumann - Publications

Affiliations: 
Institute of Neural Information Processing  Ulm University, Ulm, Baden-Württemberg, Germany 
Area:
Neural models of visual information processing, computational vision and learning
Website:
http://www.informatik.uni-ulm.de/ni/staff/HNeumann/

86 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Oess T, Ernst MO, Neumann H. Computational principles of neural adaptation for binaural signal integration. Plos Computational Biology. 16: e1008020. PMID 32678847 DOI: 10.1371/Journal.Pcbi.1008020  0.367
2020 Oess T, Löhr MPR, Schmid D, Ernst MO, Neumann H. From Near-Optimal Bayesian Integration to Neuromorphic Hardware: A Neural Network Model of Multisensory Integration. Frontiers in Neurorobotics. 14: 29. PMID 32499692 DOI: 10.3389/Fnbot.2020.00029  0.41
2019 Habtegiorgis SW, Jarvers C, Rifai K, Neumann H, Wahl S. The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics. Frontiers in Neural Circuits. 13: 9. PMID 30814934 DOI: 10.3389/Fncir.2019.00009  0.382
2019 Löhr MPR, Schmid D, Neumann H. Motion Integration and Disambiguation concerted by Feedforward-Feedback Interactions of V1-MT-MSTl Journal of Vision. 19. DOI: 10.1167/19.10.167C  0.328
2019 Jarvers C, Neumann H. A compartmental model of feedback modulation in visual cortex Journal of Vision. 19. DOI: 10.1167/19.10.108D  0.357
2018 Layher G, Neumann H. Points and Stripes: A Novel Technique for Masking Biological Motion Point-Light Stimuli. Frontiers in Psychology. 9: 1455. PMID 30210382 DOI: 10.3389/Fpsyg.2018.01455  0.405
2018 Saeed A, Al-Hamadi A, Neumann H. Facial point localization via neural networks in a cascade regression framework Multimedia Tools and Applications. 77: 2261-2283. DOI: 10.1007/S11042-016-4261-X  0.311
2017 Layher G, Brosch T, Neumann H. Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture. Frontiers in Neurorobotics. 11: 13. PMID 28381998 DOI: 10.3389/Fnbot.2017.00013  0.365
2016 Gomez O, Neumann H. Biologically Inspired Model for Inference of 3D Shape from Texture. Plos One. 11: e0160868. PMID 27649387 DOI: 10.1371/Journal.Pone.0160868  0.382
2015 Abdul-Kreem LI, Neumann H. Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory System. Plos One. 10: e0142488. PMID 26554589 DOI: 10.1371/Journal.Pone.0142488  0.446
2015 Brosch T, Neumann H, Roelfsema PR. Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks. Plos Computational Biology. 11: e1004489. PMID 26496502 DOI: 10.1371/Journal.Pcbi.1004489  0.391
2015 Schrodt F, Layher G, Neumann H, Butz MV. Embodied learning of a generative neural model for biological motion perception and inference. Frontiers in Computational Neuroscience. 9: 79. PMID 26217215 DOI: 10.3389/Fncom.2015.00079  0.409
2015 Brosch T, Tschechne S, Neumann H. On event-based optical flow detection. Frontiers in Neuroscience. 9: 137. PMID 25941470 DOI: 10.3389/Fnins.2015.00137  0.375
2015 Medathati NVK, Neumann H, Masson GS, Kornprobst P. Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision Computer Vision and Image Understanding. 150: 1-30. DOI: 10.1016/J.Cviu.2016.04.009  0.35
2015 Rodríguez-Sánchez AJ, Neumann H, Piater JH. Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects KüNstliche Intelligenz. 29: 19-29. DOI: 10.1007/S13218-014-0341-0  0.325
2014 Layher G, Schrodt F, Butz MV, Neumann H. Adaptive learning in a compartmental model of visual cortex-how feedback enables stable category learning and refinement. Frontiers in Psychology. 5: 1287. PMID 25538637 DOI: 10.3389/Fpsyg.2014.01287  0.349
2014 Brosch T, Neumann H. Computing with a canonical neural circuits model with pool normalization and modulating feedback. Neural Computation. 26: 2735-89. PMID 25248083 DOI: 10.1162/Neco_A_00675  0.371
2014 Tschechne S, Neumann H. Hierarchical representation of shapes in visual cortex-from localized features to figural shape segregation. Frontiers in Computational Neuroscience. 8: 93. PMID 25157228 DOI: 10.3389/Fncom.2014.00093  0.454
2014 Brosch T, Neumann H. Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations. Neural Networks : the Official Journal of the International Neural Network Society. 54: 11-6. PMID 24632344 DOI: 10.1016/J.Neunet.2014.02.005  0.417
2014 Tschechne S, Neumann H. Unified representation of motion and motion streak patterns in a model of cortical form-motion interaction Journal of Vision. 14: 18-18. DOI: 10.1167/14.10.18  0.342
2014 Layher G, Giese MA, Neumann H. Learning representations of animated motion sequences-a neural model Topics in Cognitive Science. 6: 170-182. DOI: 10.1111/Tops.12075  0.392
2013 Raudies F, Ringbauer S, Neumann H. A bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motion. Neural Computation. 25: 2421-49. PMID 23663150 DOI: 10.1162/Neco_A_00479  0.359
2013 Raudies F, Neumann H. Modeling heading and path perception from optic flow in the case of independently moving objects. Frontiers in Behavioral Neuroscience. 7: 23. PMID 23554589 DOI: 10.3389/Fnbeh.2013.00023  0.331
2013 Layher G, Neumann H. Combining form and motion - an integrated approach for learning biological motion representations Journal of Vision. 13: 194-194. DOI: 10.1167/13.9.194  0.32
2012 Raudies F, Neumann H. A bio-inspired, motion-based analysis of crowd behavior attributes relevance to motion transparency, velocity gradients, and motion patterns. Plos One. 7: e53456. PMID 23300930 DOI: 10.1371/Journal.Pone.0053456  0.357
2012 Poort J, Raudies F, Wannig A, Lamme VA, Neumann H, Roelfsema PR. The role of attention in figure-ground segregation in areas V1 and V4 of the visual cortex. Neuron. 75: 143-56. PMID 22794268 DOI: 10.1016/J.Neuron.2012.04.032  0.403
2012 Brosch T, Neumann H. Perceptual Crowding in a Neural Model of Feedforward-Feedback Interactions Journal of Vision. 12: 329-329. DOI: 10.1167/12.9.329  0.348
2012 Layher G, Neumann H. Neural mechanisms of action recognition and implied motion Journal of Vision. 12: 142-142. DOI: 10.1167/12.9.142  0.323
2012 Niese R, Al-Hamadi A, Farag A, Neumann H, Michaelis B. Facial expression recognition based on geometric and optical flow features in colour image sequences Iet Computer Vision. 6: 79-89. DOI: 10.1049/Iet-Cvi.2011.0064  0.319
2012 Raudies F, Neumann H. A review and evaluation of methods estimating ego-motion Computer Vision and Image Understanding. 116: 606-633. DOI: 10.1016/J.Cviu.2011.04.004  0.392
2011 Raudies F, Mingolla E, Neumann H. A model of motion transparency processing with local center-surround interactions and feedback. Neural Computation. 23: 2868-914. PMID 21851277 DOI: 10.1162/Neco_A_00193  0.348
2011 Beck C, Neumann H. Combining feature selection and integration--a neural model for MT motion selectivity. Plos One. 6: e21254. PMID 21814543 DOI: 10.1371/Journal.Pone.0021254  0.431
2011 Raudies F, Mingolla E, Neumann H. Motion transparency and spatial integration size – a modeling study F1000research. 11: 751-751. DOI: 10.7490/F1000Research.1276.1  0.321
2011 Neumann H, Bouecke JD, Tlapale E, Kornprobst P. Neural mechanisms of motion detection, integration, and segregation: From biology to artificial image processing systems Eurasip Journal On Advances in Signal Processing. 2011. DOI: 10.1155/2011/781561  0.475
2010 Raudies F, Neumann H. A neural model of the temporal dynamics of figure-ground segregation in motion perception. Neural Networks : the Official Journal of the International Neural Network Society. 23: 160-76. PMID 19931405 DOI: 10.1016/J.Neunet.2009.10.005  0.457
2010 Beck C, Neumann H. Interactions of motion and form in visual cortex - A neural model. Journal of Physiology, Paris. 104: 61-70. PMID 19909811 DOI: 10.1016/J.Jphysparis.2009.11.005  0.41
2010 Raudies F, Neumann H. A model of neural mechanisms in monocular transparent motion perception. Journal of Physiology, Paris. 104: 71-83. PMID 19900543 DOI: 10.1016/J.Jphysparis.2009.11.010  0.411
2010 Weidenbacher U, Neumann H. The first spike counts: A model for STDP learning pose specific representations for estimating view direction Journal of Vision. 8: 161-161. DOI: 10.1167/8.6.161  0.301
2010 Bayerl P, Neumann H. Feature attention in motion perception - a computational account Journal of Vision. 6: 513-513. DOI: 10.1167/6.6.513  0.346
2010 Weidenbacher U, Bayerl P, Neumann H. Generation of sketch-like feature encodings in oriented faces - A neural model Journal of Vision. 6: 1069-1069. DOI: 10.1167/6.6.1069  0.33
2010 Bayerl P, Neumann H. Attention and figure-ground segregation in a model of motion perception Journal of Vision. 5: 659-659. DOI: 10.1167/5.8.659  0.364
2010 Bayerl PAJ, Neumann H. Recurrent processing in the dorsal pathway underlies the robust integration and segregation of motion patterns Journal of Vision. 2: 658-658. DOI: 10.1167/2.7.658  0.328
2010 Kornprobst P, Tlapale E, Bouecke J, Neumann H, Masson GS. A Bio-Inspired Evaluation Methodology for Motion Estimation Journal of Vision. 10: 835-835. DOI: 10.1167/10.7.835  0.451
2010 Raudies F, Mingolla E, Neumann H. A Neural Model of Binocular Transparent Depth Perception Journal of Vision. 10: 377-377. DOI: 10.1167/10.7.377  0.359
2010 Ringbauer S, Raudies F, Neumann H. Local Perceptual Learning for Motion Pattern Discrimination: a Neural Model Journal of Vision. 10: 1110-1110. DOI: 10.1167/10.7.1110  0.35
2009 Allen HA, Humphreys GW, Colin J, Neumann H. Ventral extra-striate cortical areas are required for human visual texture segmentation. Journal of Vision. 9: 2.1-14. PMID 19761335 DOI: 10.1167/9.9.2  0.337
2009 Weidenbacher U, Neumann H. Extraction of surface-related features in a recurrent model of V1-V2 interactions. Plos One. 4: e5909. PMID 19526061 DOI: 10.1371/Journal.Pone.0005909  0.399
2008 Beck C, Ognibeni T, Neumann H. Object segmentation from motion discontinuities and temporal occlusions--a biologically inspired model. Plos One. 3: e3807. PMID 19043613 DOI: 10.1371/Journal.Pone.0003807  0.402
2008 Hansen T, Neumann H. A recurrent model of contour integration in primary visual cortex. Journal of Vision. 8: 8.1-25. PMID 18831631 DOI: 10.1167/8.8.8  0.675
2008 Thielscher A, Neumann H. Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. Biological Cybernetics. 98: 305-37. PMID 18317794 DOI: 10.1007/S00422-008-0211-7  0.409
2008 Thielscher A, Kölle M, Neumann H, Spitzer M, Grön G. Texture segmentation in human perception: a combined modeling and fMRI study. Neuroscience. 151: 730-6. PMID 18191901 DOI: 10.1016/J.Neuroscience.2007.11.040  0.434
2008 Neumann H, Pessoa L, Hansen T. Interaction of on and off pathways for visual contrast measurement (Biological Cybernetics (1999) 81 (515-532) DOI: 10.1007/s004220050580) Biological Cybernetics. 98: 353. DOI: 10.1007/s00422-008-0225-1  0.596
2007 Bayerl P, Neumann H. A neural model of feature attention in motion perception. Bio Systems. 89: 208-15. PMID 17280774 DOI: 10.1016/J.Biosystems.2006.04.018  0.405
2007 Bayerl P, Neumann H. A fast biologically inspired algorithm for recurrent motion estimation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 246-60. PMID 17170478 DOI: 10.1109/Tpami.2007.24  0.408
2007 Thielscher A, Neumann H. A computational model to link psychophysics and cortical cell activation patterns in human texture processing. Journal of Computational Neuroscience. 22: 255-282. PMID 17103312 DOI: 10.1007/S10827-006-0011-9  0.436
2007 Carranza N, Cristóbal G, Bayerl P, Neumann H. Motion estimation of magnetic resonance cardiac images using the Wigner-Ville and hough transforms Optics and Spectroscopy (English Translation of Optika I Spektroskopiya). 103: 877-885. DOI: 10.1134/S0030400X07120077  0.34
2007 Fischer S, Bayerl P, Neumann H, Redondo R, Cristóbal G. Iterated tensor voting and curvature improvement Signal Processing. 87: 2503-2515. DOI: 10.1016/J.Sigpro.2007.03.019  0.302
2007 Neumann H, Yazdanbakhsh A, Mingolla E. Seeing surfaces: The brain's vision of the world Physics of Life Reviews. 4: 189-222. DOI: 10.1016/J.Plrev.2007.09.001  0.609
2007 Bayerl P, Neumann H. Disambiguating Visual Motion by Form-Motion Interaction--a Computational Model International Journal of Computer Vision. 72: 27-45. DOI: 10.1007/S11263-006-8891-8  0.411
2006 Keil MS, Cristóbal G, Neumann H. Gradient representation and perception in the early visual system--a novel account of Mach band formation. Vision Research. 46: 2659-74. PMID 16603218 DOI: 10.1016/J.Visres.2006.01.038  0.391
2005 Keil MS, Cristóbal G, Hansen T, Neumann H. Recovering real-world images from single-scale boundaries with a novel filling-in architecture. Neural Networks : the Official Journal of the International Neural Network Society. 18: 1319-31. PMID 16039097 DOI: 10.1016/J.Neunet.2005.04.003  0.642
2005 Thielscher A, Neumann H. Neural mechanisms of human texture processing: texture boundary detection and visual search. Spatial Vision. 18: 227-57. PMID 15856938 DOI: 10.1163/1568568053320594  0.442
2004 Bayerl P, Neumann H. Disambiguating visual motion through contextual feedback modulation. Neural Computation. 16: 2041-66. PMID 15333206 DOI: 10.1162/0899766041732404  0.441
2004 Hansen T, Neumann H. A simple cell model with dominating opponent inhibition for robust image processing. Neural Networks : the Official Journal of the International Neural Network Society. 17: 647-62. PMID 15288890 DOI: 10.1016/J.Neunet.2004.04.002  0.673
2004 Hansen T, Neumann H. Neural mechanisms for the robust representation of junctions. Neural Computation. 16: 1013-37. PMID 15070508 DOI: 10.1162/089976604773135087  0.672
2003 Thielscher A, Neumann H. Neural mechanisms of cortico-cortical interaction in texture boundary detection: a modeling approach. Neuroscience. 122: 921-939. PMID 14643761 DOI: 10.1016/J.Neuroscience.2003.08.050  0.456
2003 Keil MS, Cristobal G, Neumann H. Novel theory on mach-bands and gradient formation in early vision Proceedings of Spie. 5119: 316-324. DOI: 10.1117/12.499072  0.379
2002 Hansen T, Neumann H. A computational model of recurrent, colinear long-range interaction in VI for contour enhancement and junction detection Journal of Vision. 2: 106a. DOI: 10.1167/2.7.106  0.313
2001 Neumann H, Pessoa L, Hansen T. Visual filling-in for computing perceptual surface properties. Biological Cybernetics. 85: 355-69. PMID 11721990 DOI: 10.1007/S004220100258  0.677
2001 Neumann H, Mingolla E. 12 Computational neural models of spatial integration in perceptual grouping Advances in Psychology. 130: 353-400. DOI: 10.1016/S0166-4115(01)80032-7  0.384
2001 Hansen T, Sepp W, Neumann H. Recurrent Long-Range Interactions in Early Vision Lecture Notes in Computer Science. 127-138. DOI: 10.1007/3-540-44597-8_9  0.669
2001 Hansen T, Neumann H. Neural Mechanisms for Representing Surface and Contour Features Lecture Notes in Computer Science. 139-153. DOI: 10.1007/3-540-44597-8_10  0.674
2000 Baratoff G, Toepfer C, Neumann H. Combined space-variant maps for optical-flow-based navigation Biological Cybernetics. 83: 199-209. PMID 11007296 DOI: 10.1007/S004220000164  0.308
2000 Hansen T, Baratoff G, Neumann H. A simple cell model with dominating opponent inhibition for robust contrast detection Kognitionswissenschaft. 9: 93-100. DOI: 10.1007/Bf03354941  0.593
2000 Baratoff G, Schönfelder R, Ahrns I, Neumann H. Orientation Contrast Detection in Space-Variant Images Lecture Notes in Computer Science. 554-563. DOI: 10.1007/3-540-45482-9_56  0.395
1999 Neumann H, Pessoa L, Hansen T, Hanse T. Interaction of ON and OFF pathways for visual contrast measurement. Biological Cybernetics. 81: 515-32. PMID 10592025 DOI: 10.1007/S00422-008-0225-1  0.673
1999 Neumann H, Sepp W. Recurrent V1-V2 interaction in early visual boundary processing. Biological Cybernetics. 81: 425-444. PMID 10592018 DOI: 10.1007/S004220050573  0.431
1998 Pessoa L, Neumann H. Why does the brain fill in? Trends in Cognitive Sciences. 2: 422-4. PMID 21227268 DOI: 10.1016/S1364-6613(98)01237-6  0.374
1998 Neumann H. Representations, computation, and inverse ecological optics Behavioral and Brain Sciences. 21: 766-767. DOI: 10.1017/S0140525X98431753  0.301
1998 Neumann H, Pessoa L, Mingolla E. A neural architecture of brightness perception: Non-linear contrast detection and geometry-driven diffusion Image and Vision Computing. 16: 423-446. DOI: 10.1016/S0262-8856(97)00085-1  0.419
1997 Gilchrist ID, Humphreys GW, Riddoch MJ, Neumann H. Luminance and edge information in grouping: a study using visual search. Journal of Experimental Psychology. Human Perception and Performance. 23: 464-80. PMID 9104005 DOI: 10.1037//0096-1523.23.2.464  0.325
1997 Pessoa L, Grunewald A, Neumann H, Littmann E. A Biological Neural Network of Visual Cell Responses: Static and Motion Processing Journal of the Brazilian Computer Society. 4. DOI: 10.1590/S0104-65001997000200002  0.69
1996 Neumann H. Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception. Neural Networks : the Official Journal of the International Neural Network Society. 9: 921-936. PMID 12662572 DOI: 10.1016/0893-6080(96)00023-8  0.374
1996 Neumann H, Mössner P. Neural Mechanisms in Boundary Grouping, Illusory Contour Generation, and Spatial Tuning of Receptive Field Selectivity Perception. 25: 108-108. DOI: 10.1068/V96L0703  0.318
1995 Pessoa L, Mingolla E, Neumann H. A contrast- and luminance-driven multiscale network model of brightness perception. Vision Research. 35: 2201-23. PMID 7667932 DOI: 10.1016/0042-6989(94)00313-0  0.401
1994 Ludwig K, Neumann H, Neumann B. Local stereoscopic depth estimation Image and Vision Computing. 12: 16-35. DOI: 10.1016/0262-8856(94)90052-3  0.361
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