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 |
|
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