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2020 – today
- 2021
[j62]J. Leo van Hemmen:
Mathematization of nature: how it is done. Biol. Cybern. 115(6): 655-664 (2021)
2010 – 2019
- 2018
- [j61]J. Leo van Hemmen:
Reflections on biological cybernetics: past, present, prospects. Biol. Cybern. 112(1-2): 1-5 (2018) - 2016
- [j60]J. Leo van Hemmen, Jakob Christensen-Dalsgaard
, Catherine E. Carr, Peter M. Narins:
Animals and ICE: meaning, origin, and diversity. Biol. Cybern. 110(4-5): 237-246 (2016) - [j59]Anupam P. Vedurmudi, Bruce A. Young, J. Leo van Hemmen:
Internally coupled ears: mathematical structures and mechanisms underlying ICE. Biol. Cybern. 110(4-5): 359-382 (2016) - 2015
- [j58]J. Leo van Hemmen:
My science, right or wrong! Biol. Cybern. 109(1): 1-3 (2015) - 2014
- [j57]J. Leo van Hemmen, Almut Schüz, Ad Aertsen:
Structural aspects of biological cybernetics: Valentino Braitenberg, neuroanatomy, and brain function. Biol. Cybern. 108(5): 517-525 (2014) - [j56]J. Leo van Hemmen:
Neuroscience from a mathematical perspective: key concepts, scales and scaling hypothesis, universality. Biol. Cybern. 108(5): 701-712 (2014) - 2013
- [j55]J. Leo van Hemmen:
Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives. Biol. Cybern. 107(4): 385-396 (2013) - [j54]J. Leo van Hemmen, Andreas N. Vollmayr:
Resonating vector strength: what happens when we vary the "probing" frequency while keeping the spike times fixed. Biol. Cybern. 107(4): 491-494 (2013) - [j53]Jan-Moritz P. Franosch, Sebastian Urban, J. Leo van Hemmen:
Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions. Neural Comput. 25(12): 3113-3130 (2013) - 2012
- [j52]J. Leo van Hemmen, Patrick van der Smagt, Barry E. Stein:
Foreword for the special issue on Multimodal and Sensorimotor Bionics. Biol. Cybern. 106(11-12): 615-616 (2012) - [j51]Matthieu Gilson, Moritz Bürck, Anthony N. Burkitt, J. Leo van Hemmen:
Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. Neural Comput. 24(9): 2251-2279 (2012) - 2010
- [j50]Andreas B. Sichert, J. Leo van Hemmen:
How stimulus shape affects lateral-line perception: analytical approach to analyze natural stimuli characteristics. Biol. Cybern. 102(3): 177-180 (2010) - [j49]Moritz Bürck, Paul Friedel, Andreas B. Sichert, Christine Vossen, J. Leo van Hemmen:
Optimality in mono- and multisensory map formation. Biol. Cybern. 103(1): 1-20 (2010) - [j48]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. Biol. Cybern. 103(5): 365-386 (2010) - [j47]Matthieu Gilson, Anthony N. Burkitt, J. Leo van Hemmen:
STDP in Recurrent Neuronal Networks. Frontiers Comput. Neurosci. 4: 23 (2010)
2000 – 2009
- 2009
- [j46]J. Leo van Hemmen:
Editorial to volume 100 of Biological Cybernetics. Biol. Cybern. 100(1): 1-3 (2009) - [j45]Moritz Bürck, J. Leo van Hemmen:
Neuronal identification of signal periodicity by balanced inhibition. Biol. Cybern. 100(4): 261-270 (2009) - [j44]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. Biol. Cybern. 101(2): 81-102 (2009) - [j43]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. Biol. Cybern. 101(2): 103-114 (2009) - [j42]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. Biol. Cybern. 101(5-6): 411-426 (2009) - [j41]Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen:
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. Biol. Cybern. 101(5-6): 427-444 (2009) - 2008
- [j40]J. Leo van Hemmen, Andrew B. Schwartz:
Population vector code: a geometric universal as actuator. Biol. Cybern. 98(6): 509-518 (2008) - [j39]Paul Friedel, J. Leo van Hemmen:
Inhibition, not excitation, is the key to multimodal sensory integration. Biol. Cybern. 98(6): 597-618 (2008) - 2007
- [j38]Anthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen:
Spike-timing-dependent plasticity for neurons with recurrent connections. Biol. Cybern. 96(5): 533-546 (2007) - [j37]J. Leo van Hemmen:
Biology and mathematics: A fruitful merger of two cultures. Biol. Cybern. 97(1): 1-3 (2007) - [j36]Paul Friedel, Moritz Bürck, J. Leo van Hemmen:
Neuronal identification of acoustic signal periodicity. Biol. Cybern. 97(3): 247-260 (2007) - [c11]Matthieu 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 - 2006
- [j35]J. Leo van Hemmen:
Editorial. Biol. Cybern. 94(1): 1 (2006) - 2005
- [j34]Jan-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. Biol. Cybern. 93(4): 231-238 (2005) - [j33]Oliver G. Wenisch, Joachim Noll, J. Leo van Hemmen:
Spontaneously emerging direction selectivity maps in visual cortex through STDP. Biol. Cybern. 93(4): 239-247 (2005) - 2004
- [j32]J. Leo van Hemmen:
Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium? Biol. Cybern. 91(6): 347-358 (2004) - 2003
- [j31]Gert Hauske, J. Leo van Hemmen:
Online First publication. Biol. Cybern. 88(1): 1 (2003) - [j30]Anthony N. Burkitt, J. Leo van Hemmen:
How synapses in the auditory system wax and wane: theoretical perspectives. Biol. Cybern. 89(5): 318-332 (2003) - [j29]Christian Leibold, J. Leo van Hemmen:
Synaptic plasticity determines the character of interaural-time-difference representation. Neurocomputing 52-54: 321-326 (2003) - 2002
- [j28]J. Leo van Hemmen, Walter Senn:
Hebb in perspective. Biol. Cybern. 87(5-6): 317-318 (2002) - [j27]Christian Leibold, J. Leo van Hemmen:
Mapping time. Biol. Cybern. 87(5-6): 428-439 (2002) - 2001
- [j26]A. P. Bartsch, J. Leo van Hemmen:
Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex. Biol. Cybern. 84(1): 41-55 (2001) - [j25]Julian 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) - [j24]Christian 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) - [j23]Ulrich Hillenbrand, J. Leo van Hemmen:
Does Corticothalamic Feedback Control Cortical Velocity Tuning? Neural Comput. 13(2): 327-355 (2001) - [j22]Julian Eggert, J. Leo van Hemmen:
Modeling Neuronal Assemblies: Theory and Implementation. Neural Comput. 13(9): 1923-1974 (2001) - [j21]Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen:
Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. Neural Comput. 13(12): 2709-2741 (2001) - [j20]Christian Leibold, J. Leo van Hemmen:
Temporal receptive fields, spikes, and Hebbian delay selection. Neural Networks 14(6-7): 805-813 (2001) - 2000
- [j19]Werner M. Kistler, J. Leo van Hemmen:
Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials. Neural Comput. 12(2): 385-405 (2000) - [j18]Erik G. F. Thomas, J. Leo van Hemmen, Werner M. Kistler:
Calculation of Volterra Kernels for Solutions of Nonlinear Differential Equations. SIAM J. Appl. Math. 61(1): 1-21 (2000)
1990 – 1999
- 1999
- [j17]Werner M. Kistler, J. Leo van Hemmen:
Delayed reverberation through time windows as a key to cerebellar function. Biol. Cybern. 81(5-6): 373-380 (1999) - [j16]Werner M. Kistler, J. Leo van Hemmen:
Short-Term Synaptic Plasticity and Network Behavior. Neural Comput. 11(7): 1579-1594 (1999) - 1998
- [j15]J. Leo van Hemmen:
Circuit complexity and neural networks: By Ian Parberry. Complex. 3(4): 59-60 (1998) - [j14]Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner:
Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. Neural Comput. 10(8): 1987-2017 (1998) - [c10]Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen:
Spike-Based Compared to Rate-Based Hebbian Learning. NIPS 1998: 125-131 - 1997
- [j13]Stefan Wimbauer, Oliver G. Wenisch, Kenneth D. Miller, J. Leo van Hemmen:
Development of spatiotemporal receptive fields of simple cells: I. Model formulation. Biol. Cybern. 77(6): 453-461 (1997) - [j12]Stefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen, Kenneth D. Miller:
Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis. Biol. Cybern. 77(6): 463-477 (1997) - [j11]Werner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen:
Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model. Neural Comput. 9(5): 1015-1045 (1997) - [c9]Julian Eggert, J. Leo van Hemmen:
Derivation of Pool Dynamics from Microscopic Neuronal Models. ICANN 1997: 109-114 - [c8]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 - 1996
- [j10]Ursula Fuentes, Raphael Ritz, Wulfram Gerstner, J. Leo van Hemmen:
Vertical signal flow and oscillations in a three-layer model of the cortex. J. Comput. Neurosci. 3(2): 125-136 (1996) - [j9]Wulfram Gerstner, J. Leo van Hemmen, Jack D. Cowan:
What Matters in Neuronal Locking? Neural Comput. 8(8): 1653-1676 (1996) - [j8]Ralf Solomon, J. Leo van Hemmen:
Accelerating backpropagation through dynamic self-adaptation. Neural Networks 9(4): 589-601 (1996) - [c7]Ulrich Hillenbrand, J. Leo van Hemmen:
Collective Dynamics of a System of Adaptive Velocity Channels. ICANN 1996: 107-114 - 1995
- [j7]C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen:
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. Neural Comput. 7(5): 905-914 (1995) - [c6]Richard 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 - 1994
- [j6]Raphael Ritz, Wulfram Gerstner, Ursula Fuentes, J. Leo van Hemmen:
A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biol. Cybern. 71(4): 349-358 (1994) - [j5]Stefan Wimbauer, Wulfram Gerstner, J. Leo van Hemmen:
Emergence of spatiotemporal receptive fields and its application to motion detection. Biol. Cybern. 72(1): 81-92 (1994) - [j4]Stefan Wimbauer, Nikolaus Klemmer, J. Leo van Hemmen:
Universality of unlearning. Neural Networks 7(2): 261-270 (1994) - 1993
- [j3]Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen:
A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biol. Cybern. 68(4): 363-374 (1993) - [j2]Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen:
Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biol. Cybern. 69(5-6): 503-515 (1993) - [c5]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 - [c4]Stefan Wimbauer, J. Leo van Hemmen:
Hebbian Unlearning. Analysis of Dynamical and Cognitive Systems 1993: 121-136 - [c3]Wulfram Gerstner, J. Leo van Hemmen:
How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? NIPS 1993: 463-470 - 1992
- [j1]Wulfram Gerstner, J. Leo van Hemmen:
Universality in neural networks: the importance of the 'mean firing rate'. Biol. Cybern. 67(3): 195-205 (1992) - 1990
- [c2]Andreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen:
Statistical Mechanics of Temporal Association in Neural Networks. NIPS 1990: 176-182 - [c1]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
Coauthor Index
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