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J. Leo van Hemmen

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2009
40EEJ. Leo van Hemmen: Editorial to volume 100 of Biological Cybernetics. Biological Cybernetics 100(1): 1-3 (2009)
2008
39EEJ. Leo van Hemmen, Andrew B. Schwartz: Population vector code: a geometric universal as actuator. Biological Cybernetics 98(6): 509-518 (2008)
38EEPaul Friedel, J. Leo van Hemmen: Inhibition, not excitation, is the key to multimodal sensory integration. Biological Cybernetics 98(6): 597-618 (2008)
2007
37EEMatthieu Gilson, David B. Grayden, J. Leo van Hemmen, Doreen A. Thomas, Anthony N. Burkitt: Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. ICONIP (1) 2007: 102-111
36EEAnthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen: Spike-timing-dependent plasticity for neurons with recurrent connections. Biological Cybernetics 96(5): 533-546 (2007)
35EEJ. Leo van Hemmen: Biology and mathematics: A fruitful merger of two cultures. Biological Cybernetics 97(1): 1-3 (2007)
34EEPaul Friedel, Moritz Bürck, J. Leo van Hemmen: Neuronal identification of acoustic signal periodicity. Biological Cybernetics 97(3): 247-260 (2007)
2006
33EEJ. Leo van Hemmen: Editorial. Biological Cybernetics 94(1): 1 (2006)
2005
32EEJan-Moritz P. Franosch, Andreas B. Sichert, Maria D. Suttner, J. Leo van Hemmen: Estimating position and velocity of a submerged moving object by the clawed frog Xenopus and by fish - A cybernetic approach. Biological Cybernetics 93(4): 231-238 (2005)
31EEOliver G. Wenisch, Joachim Noll, J. Leo van Hemmen: Spontaneously emerging direction selectivity maps in visual cortex through STDP. Biological Cybernetics 93(4): 239-247 (2005)
2004
30EEJ. Leo van Hemmen: Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium? Biological Cybernetics 91(6): 347-358 (2004)
2003
29EEGert Hauske, J. Leo van Hemmen: Online First publication. Biological Cybernetics 88(1): 1 (2003)
28EEAnthony N. Burkitt, J. Leo van Hemmen: How synapses in the auditory system wax and wane: theoretical perspectives. Biological Cybernetics 89(5): 318-332 (2003)
27EEChristian Leibold, J. Leo van Hemmen: Synaptic plasticity determines the character of interaural-time-difference representation. Neurocomputing 52-54: 321-326 (2003)
2002
26EEJ. Leo van Hemmen, Walter Senn: Hebb in perspective. Biological Cybernetics 87(5-6): 317-318 (2002)
25EEChristian Leibold, J. Leo van Hemmen: Mapping time. Biological Cybernetics 87(5-6): 428-439 (2002)
2001
24EERichard Kempter, Wulfram Gerstner, J. Leo van Hemmen: Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. Neural Computation 13(12): 2709-2741 (2001)
23 Ulrich Hillenbrand, J. Leo van Hemmen: Does Corticothalamic Feedback Control Cortical Velocity Tuning? Neural Computation 13(2): 327-355 (2001)
22 Julian Eggert, J. Leo van Hemmen: Modeling Neuronal Assemblies: Theory and Implementation. Neural Computation 13(9): 1923-1974 (2001)
21EEChristian Leibold, J. Leo van Hemmen: Temporal receptive fields, spikes, and Hebbian delay selection. Neural Networks 14(6-7): 805-813 (2001)
20EEChristian Leibold, Richard Kempter, Hermann Wagner, J. Leo van Hemmen: An interaural time difference map resulting from axonal selection through non-specific learning. Neurocomputing 38-40: 1401-1407 (2001)
19EEJulian Eggert, Berthold Bäuml, J. Leo van Hemmen: Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies. Neurocomputing 38-40: 191-196 (2001)
2000
18 Werner M. Kistler, J. Leo van Hemmen: Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials. Neural Computation 12(2): 385-405 (2000)
17EEErik G. F. Thomas, J. Leo van Hemmen, Werner M. Kistler: Calculation of Volterra Kernels for Solutions of Nonlinear Differential Equations. SIAM Journal of Applied Mathematics 61(1): 1-21 (2000)
1999
16 Werner M. Kistler, J. Leo van Hemmen: Short-Term Synaptic Plasticity and Network Behavior. Neural Computation 11(7): 1579-1594 (1999)
1998
15EERichard Kempter, Wulfram Gerstner, J. Leo van Hemmen: Spike-Based Compared to Rate-Based Hebbian Learning. NIPS 1998: 125-131
14 Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner: Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. Neural Computation 10(8): 1987-2017 (1998)
1997
13 Julian Eggert, J. Leo van Hemmen: Derivation of Pool Dynamics from Microscopic Neuronal Models. ICANN 1997: 109-114
12 Stefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen: A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells. ICANN 1997: 183-188
11EEWerner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen: Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model. Neural Computation 9(5): 1015-1045 (1997)
1996
10 Ulrich Hillenbrand, J. Leo van Hemmen: Collective Dynamics of a System of Adaptive Velocity Channels. ICANN 1996: 107-114
9EERalf Solomon, J. Leo van Hemmen: Accelerating backpropagation through dynamic self-adaptation. Neural Networks 9(4): 589-601 (1996)
1995
8EERichard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner: Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway. NIPS 1995: 124-130
7EEC. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen: Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. Neural Computation 7(5): 905-914 (1995)
1994
6EEStefan Wimbauer, Nikolaus Klemmer, J. Leo van Hemmen: Universality of unlearning. Neural Networks 7(2): 261-270 (1994)
1993
5 Stefan Wimbauer, J. Leo van Hemmen: Hebbian Unlearning. Analysis of Dynamical and Cognitive Systems 1993: 121-136
4 J. Leo van Hemmen, Raphael Ritz: Neural Coding - A Theoretical Vista of Mechanisms, Techniques, and Applications. Analysis of Dynamical and Cognitive Systems 1993: 75-119
3EEWulfram Gerstner, J. Leo van Hemmen: How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? NIPS 1993: 463-470
1990
2 J. Leo van Hemmen, Wulfram Gerstner, Andreas V. M. Herz, Reimer Kühn, B. Sulzer, M. Vaas: Encoding and Decoding of Patterns which are Correlated in Space and Time. ÖGAI 1990: 153-162
1EEAndreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen: Statistical Mechanics of Temporal Association in Neural Networks. NIPS 1990: 176-182

Coauthor Index

1Berthold Bäuml [19]
2Moritz Bürck [34]
3Anthony N. Burkitt [28] [36] [37]
4Julian Eggert [13] [19] [22]
5C. Fohlmeister [7]
6Jan-Moritz P. Franosch [32]
7Paul Friedel [34] [38]
8Wulfram Gerstner [2] [3] [7] [8] [11] [14] [15] [24]
9Matthieu Gilson [36] [37]
10David B. Grayden [37]
11Gert Hauske [29]
12Andreas V. M. Herz [1] [2]
13Ulrich Hillenbrand [10] [23]
14Richard Kempter [8] [14] [15] [20] [24]
15Werner M. Kistler [11] [16] [17] [18]
16Nikolaus Klemmer [6]
17Reimer Kühn [2]
18Christian Leibold [20] [21] [25] [27]
19Zhaoping Li [1]
20Joachim Noll [31]
21Raphael Ritz [4] [7]
22Andrew B. Schwartz [39]
23Walter Senn [26]
24Andreas B. Sichert [32]
25Ralf Solomon [9]
26B. Sulzer [2]
27Maria D. Suttner [32]
28Doreen A. Thomas [37]
29Erik G. F. Thomas [17]
30M. Vaas [2]
31Hermann Wagner [8] [14] [20]
32Oliver G. Wenisch [12] [31]
33Stefan Wimbauer [5] [6] [12]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)