J. Leo Van Hemmen - Publications

Affiliations: 
Technical University of Munich (TUM), München, Bayern, Germany 
Area:
Theoretical Biology

60 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
2016 Vedurmudi AP, Goulet J, Christensen-Dalsgaard J, Young BA, Williams R, van Hemmen JL. How Internally Coupled Ears Generate Temporal and Amplitude Cues for Sound Localization. Physical Review Letters. 116: 028101. PMID 26824568 DOI: 10.1103/PhysRevLett.116.028101  0.445
2016 Vedurmudi AP, Goulet J, Christensen-Dalsgaard J, Young BA, Williams R, Van Hemmen JL. How Internally Coupled Ears Generate Temporal and Amplitude Cues for Sound Localization Physical Review Letters. 116. DOI: 10.1103/PhysRevLett.116.028101  0.449
2014 Marschler C, Faust-Ellsässer C, Starke J, Van Hemmen JL. Bifurcation of learning and structure formation in neuronal maps Epl. 108. DOI: 10.1209/0295-5075/108/48005  0.4
2013 Franosch JM, Urban S, van Hemmen JL. Supervised spike-timing-dependent plasticity: a spatiotemporal neuronal learning rule for function approximation and decisions. Neural Computation. 25: 3113-30. PMID 24047322 DOI: 10.1162/NECO_a_00520  0.377
2012 Gilson M, Bürck M, Burkitt AN, van Hemmen JL. Frequency selectivity emerging from spike-timing-dependent plasticity. Neural Computation. 24: 2251-79. PMID 22734488 DOI: 10.1162/NECO_a_00331  0.422
2012 Goulet J, van Hemmen JL, Jung SN, Chagnaud BP, Scholze B, Engelmann J. Temporal precision and reliability in the velocity regime of a hair-cell sensory system: the mechanosensory lateral line of goldfish, Carassius auratus. Journal of Neurophysiology. 107: 2581-93. PMID 22378175 DOI: 10.1152/Jn.01073.2011  0.493
2010 Lüling H, Franosch JM, van Hemmen JL. A two-dimensional cochlear fluid model based on conformal mapping. The Journal of the Acoustical Society of America. 128: 3577-84. PMID 21218890 DOI: 10.1121/1.3505108  0.719
2010 Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. Biological Cybernetics. 103: 365-86. PMID 20882297 DOI: 10.1007/s00422-010-0405-7  0.444
2010 Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL. Representation of input structure in synaptic weights by spike-timing-dependent plasticity. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 82: 021912. PMID 20866842 DOI: 10.1103/PhysRevE.82.021912  0.334
2010 Bürck M, Friedel P, Sichert AB, Vossen C, van Hemmen JL. Optimality in mono- and multisensory map formation. Biological Cybernetics. 103: 1-20. PMID 20502911 DOI: 10.1007/s00422-010-0393-7  0.343
2009 Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: structuring synaptic pathways among recurrent connections. Biological Cybernetics. 101: 427-44. PMID 19937070 DOI: 10.1007/s00422-009-0346-1  0.358
2009 Franosch JM, Hagedorn HJ, Goulet J, Engelmann J, van Hemmen JL. Wake tracking and the detection of vortex rings by the canal lateral line of fish. Physical Review Letters. 103: 078102. PMID 19792690 DOI: 10.1103/Physrevlett.103.078102  0.46
2009 Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity--strengthening correlated input pathways. Biological Cybernetics. 101: 81-102. PMID 19536560 DOI: 10.1007/s00422-009-0319-4  0.429
2009 Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking. Biological Cybernetics. 101: 103-14. PMID 19536559 DOI: 10.1007/s00422-009-0320-y  0.423
2009 Bürck M, van Hemmen JL. Neuronal identification of signal periodicity by balanced inhibition. Biological Cybernetics. 100: 261-70. PMID 19350265 DOI: 10.1007/s00422-009-0302-0  0.333
2009 Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL. Spike-timing-dependent plasticity in a recurrently connected neuronal network with spontaneous oscillations Bmc Neuroscience. 10: P212. DOI: 10.1186/1471-2202-10-S1-P212  0.351
2009 Gilson M, Thomas DA, Burkitt AN, Grayden DB, van Hemmen JL. Interplay between spike-timing-dependent plasticity and neuronal correlations gives rise to network structure Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P200  0.345
2009 van Hemmen JL. What is a Neuronal Map, How Does It Arise, and What is it Good For? 23 Problems in Systems Neuroscience. DOI: 10.1093/acprof:oso/9780195148220.003.0005  0.349
2008 Friedel P, van Hemmen JL. Inhibition, not excitation, is the key to multimodal sensory integration. Biological Cybernetics. 98: 597-618. PMID 18491169 DOI: 10.1007/s00422-008-0236-y  0.34
2008 Goulet J, Engelmann J, Chagnaud BP, Franosch JM, Suttner MD, van Hemmen JL. Object localization through the lateral line system of fish: theory and experiment. Journal of Comparative Physiology. a, Neuroethology, Sensory, Neural, and Behavioral Physiology. 194: 1-17. PMID 18060550 DOI: 10.1007/S00359-007-0275-1  0.451
2007 Burkitt AN, Gilson M, van Hemmen JL. Spike-timing-dependent plasticity for neurons with recurrent connections. Biological Cybernetics. 96: 533-46. PMID 17415586 DOI: 10.1007/s00422-007-0148-2  0.434
2007 van Hemmen JL, Leibold C. Elementary excitations of biomembranes: Differential geometry of undulations in elastic surfaces Physics Reports. 444: 51-99. DOI: 10.1016/j.physrep.2006.12.007  0.65
2005 Franosch JM, Lingenheil M, van Hemmen JL. How a frog can learn what is where in the dark. Physical Review Letters. 95: 078106. PMID 16196830 DOI: 10.1103/PhysRevLett.95.078106  0.407
2005 Wenisch OG, Noll J, Van Hemmen JL. Spontaneously emerging direction selectivity maps in visual cortex through STDP Biological Cybernetics. 93: 239-247. PMID 16195915 DOI: 10.1007/s00422-005-0006-z  0.469
2005 Leibold C, van Hemmen JL. Spiking neurons learning phase delays: how mammals may develop auditory time-difference sensitivity. Physical Review Letters. 94: 168102. PMID 15904267 DOI: 10.1103/PhysRevLett.94.168102  0.755
2003 Burkitt AN, van Hemmen JL. How synapses in the auditory system wax and wane: theoretical perspectives. Biological Cybernetics. 89: 318-32. PMID 14669012 DOI: 10.1007/s00422-003-0437-3  0.441
2003 Franosch JM, Kempter R, Fastl H, van Hemmen JL. Zwicker tone illusion and noise reduction in the auditory system. Physical Review Letters. 90: 178103. PMID 12786108 DOI: 10.1103/Physrevlett.90.178103  0.719
2003 Leibold C, van Hemmen JL. Synaptic plasticity determines the character of interaural-time-difference representation Neurocomputing. 52: 321-326. DOI: 10.1016/S0925-2312(02)00800-7  0.759
2002 Leibold C, van Hemmen JL. Mapping time. Biological Cybernetics. 87: 428-39. PMID 12461632 DOI: 10.1007/s00422-002-0354-x  0.756
2002 Leibold C, Kempter R, van Hemmen JL. How spiking neurons give rise to a temporal-feature map: from synaptic plasticity to axonal selection. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 65: 051915. PMID 12059601 DOI: 10.1103/PhysRevE.65.051915  0.813
2001 Leibold C, Kempter R, van Hemmen JL. Temporal map formation in the barn owl's brain. Physical Review Letters. 87: 248101. PMID 11736542 DOI: 10.1103/Physrevlett.87.248101  0.798
2001 Kempter R, Gerstner W, van Hemmen JL. Intrinsic stabilization of output rates by spike-based Hebbian learning. Neural Computation. 13: 2709-41. PMID 11705408 DOI: 10.1162/089976601317098501  0.801
2001 Leibold C, van Hemmen JL. Temporal receptive fields, spikes, and Hebbian delay selection. Neural Networks : the Official Journal of the International Neural Network Society. 14: 805-13. PMID 11665772 DOI: 10.1016/S0893-6080(01)00081-8  0.75
2001 Eggert J, van Hemmen JL. Modeling neuronal assemblies: theory and implementation. Neural Computation. 13: 1923-74. PMID 11516352 DOI: 10.1162/089976601750399254  0.357
2001 Kempter R, Leibold C, Wagner H, van Hemmen JL. Formation of temporal-feature maps by axonal propagation of synaptic learning. Proceedings of the National Academy of Sciences of the United States of America. 98: 4166-71. PMID 11274439 DOI: 10.1073/pnas.061369698  0.801
2001 Bartsch AP, van Hemmen JL. Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex. Biological Cybernetics. 84: 41-55. PMID 11204398 DOI: 10.1007/s004220170003  0.325
2001 Leibold C, Kempter R, Wagner H, Van Hemmen JL. An interaural time difference map resulting from axonal selection through non-specific learning Neurocomputing. 38: 1401-1407. DOI: 10.1016/S0925-2312(01)00503-3  0.82
2000 Eggert J, van Hemmen JL. Unifying framework for neuronal assembly dynamics. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 61: 1855-74. PMID 11046472  0.388
2000 Stürzl W, Kempter R, van Hemmen JL. Theory of arachnid prey localization. Physical Review Letters. 84: 5668-71. PMID 10991021 DOI: 10.1103/PhysRevLett.84.5668  0.76
2000 Kistler WM, van Hemmen JL. Modeling synaptic plasticity in conjuction with the timing of pre- and postsynaptic action potentials. Neural Computation. 12: 385-405. PMID 10636948  0.396
1999 Kistler WM, van Hemmen JL. Short-term synaptic plasticity and network behavior. Neural Computation. 11: 1579-94. PMID 10490939  0.349
1999 Kempter R, Gerstner W, Van Hemmen JL. Hebbian learning and spiking neurons Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 59: 4498-4514. DOI: 10.1103/Physreve.59.4498  0.809
1999 Kempter R, Gerstner W, Van Hemmen JL. Spike-based compared to rate-based hebbian learning Advances in Neural Information Processing Systems. 125-131.  0.764
1998 Wimbauer S, Gerstner W, van Hemmen JL. Analysis of a correlation-based model for the development of orientation-selective receptive fields in the visual cortex. Network (Bristol, England). 9: 449-66. PMID 10221574 DOI: 10.1088/0954-898X_9_4_004  0.547
1998 Kempter R, Gerstner W, van Hemmen JL. How the threshold of a neuron determines its capacity for coincidence detection. Bio Systems. 48: 105-12. PMID 9886637 DOI: 10.1016/S0303-2647(98)00055-0  0.788
1998 Kempter R, Gerstner W, van Hemmen JL, Wagner H. Extracting oscillations. Neuronal coincidence detection with noisy periodic spike input. Neural Computation. 10: 1987-2017. PMID 9804669 DOI: 10.1162/089976698300016945  0.798
1997 Kistler WM, Gerstner W, Van Hemmen JL. Reduction of the Hodgkin-Huxley Equations to a Single-Variable Threshold Model Neural Computation. 9: 1015-1045. DOI: 10.1162/Neco.1997.9.5.1015  0.601
1997 Eggert J, Van Hemmen JL. Derivation of pool dynamics from microscopic neuronal models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 109-114.  0.337
1996 Gerstner W, van Hemmen JL, Cowan JD. What matters in neuronal locking? Neural Computation. 8: 1653-76. PMID 8888612 DOI: 10.1162/Neco.1996.8.8.1653  0.612
1996 Fuentes U, Ritz R, Gerstner W, Van Hemmen JL. Vertical signal flow and oscillations in a three-layer model of the cortex. Journal of Computational Neuroscience. 3: 125-36. PMID 8840229 DOI: 10.1007/BF00160808  0.533
1996 Gerstner W, Kempter R, van Hemmen JL, Wagner H. A neuronal learning rule for sub-millisecond temporal coding. Nature. 383: 76-81. PMID 8779718 DOI: 10.1038/383076a0  0.817
1995 Fohlmeister C, Gerstner W, Ritz R, van Hemmen JL. Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. Neural Computation. 7: 905-14. PMID 7584892 DOI: 10.1162/Neco.1995.7.5.905  0.585
1995 Schiegg A, Gerstner W, Ritz R, van Hemmen JL. Intracellular Ca2+ stores can account for the time course of LTP induction: a model of Ca2+ dynamics in dendritic spines. Journal of Neurophysiology. 74: 1046-55. PMID 7500131 DOI: 10.1152/Jn.1995.74.3.1046  0.445
1994 Ritz R, Gerstner W, Fuentes U, van Hemmen JL. A biologically motivated and analytically soluble model of collective oscillations in the cortex. II. Application to binding and pattern segmentation. Biological Cybernetics. 71: 349-58. PMID 7948226 DOI: 10.1007/BF00239622  0.582
1994 Wimbauer S, Gerstner W, van Hemmen JL. Emergence of spatiotemporal receptive fields and its application to motion detection Biological Cybernetics. 72: 81-92. DOI: 10.1007/BF00206240  0.502
1993 Gerstner W, Ritz R, van Hemmen JL. A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking. Biological Cybernetics. 68: 363-74. PMID 8386552 DOI: 10.1007/BF00201861  0.624
1993 Gerstner W, Ritz R, van Hemmen JL. Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biological Cybernetics. 69: 503-15. PMID 7903867 DOI: 10.1007/BF00199450  0.641
1992 Gerstner W, van Hemmen JL. Universality in neural networks: the importance of the 'mean firing rate'. Biological Cybernetics. 67: 195-205. PMID 1498186 DOI: 10.1007/BF00204392  0.618
1992 Gerstner W, van Hemmen JL. Associative memory in a network of 'spiking' neurons Network: Computation in Neural Systems. 3: 139-164. DOI: 10.1088/0954-898X_3_2_004  0.536
1989 Herz A, Sulzer B, Kühn R, van Hemmen JL. Hebbian learning reconsidered: representation of static and dynamic objects in associative neural nets. Biological Cybernetics. 60: 457-67. PMID 11455966 DOI: 10.1007/BF00204701  0.7
Show low-probability matches.