J. Leo van Hemmen

Publication Activity (10 Years)

Years Active: 1990-2021
Publications (10 Years): 4

Top Topics

Living Organisms

Temporal Difference Methods

Mechanisms Underlying

Top Venues

Publications

J. Leo van Hemmen
Mathematization of nature: how it is done. Biol. Cybern. 115 (6) (2021)
J. Leo van Hemmen
Reflections on biological cybernetics: past, present, prospects. Biol. Cybern. 112 (1-2) (2018)
Anupam P. Vedurmudi, Bruce A. Young, J. Leo van Hemmen
Internally coupled ears: mathematical structures and mechanisms underlying ICE. Biol. Cybern. 110 (4-5) (2016)
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) (2016)
J. Leo van Hemmen
My science, right or wrong! Biol. Cybern. 109 (1) (2015)
J. Leo van Hemmen
Neuroscience from a mathematical perspective: key concepts, scales and scaling hypothesis, universality. Biol. Cybern. 108 (5) (2014)
J. Leo van Hemmen, Almut Schüz, Ad Aertsen
Structural aspects of biological cybernetics: Valentino Braitenberg, neuroanatomy, and brain function. Biol. Cybern. 108 (5) (2014)
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) (2013)
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) (2013)
J. Leo van Hemmen
Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives. Biol. Cybern. 107 (4) (2013)
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) (2012)
Matthieu Gilson, Moritz Bürck, Anthony N. Burkitt, J. Leo van Hemmen
Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. Neural Comput. 24 (9) (2012)
Matthieu Gilson, Anthony N. Burkitt, J. Leo van Hemmen
STDP in Recurrent Neuronal Networks. Frontiers Comput. Neurosci. 4 (2010)
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) (2010)
Moritz Bürck, Paul Friedel, Andreas B. Sichert, Christine Vossen, J. Leo van Hemmen
Optimality in mono- and multisensory map formation. Biol. Cybern. 103 (1) (2010)
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) (2010)
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) (2009)
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) (2009)
Moritz Bürck, J. Leo van Hemmen
Neuronal identification of signal periodicity by balanced inhibition. Biol. Cybern. 100 (4) (2009)
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) (2009)
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) (2009)
J. Leo van Hemmen
. Biol. Cybern. 100 (1) (2009)
Paul Friedel, J. Leo van Hemmen
Inhibition, not excitation, is the key to multimodal sensory integration. Biol. Cybern. 98 (6) (2008)
J. Leo van Hemmen, Andrew B. Schwartz
Population vector code: a geometric universal as actuator. Biol. Cybern. 98 (6) (2008)
Anthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen
Spike-timing-dependent plasticity for neurons with recurrent connections. Biol. Cybern. 96 (5) (2007)
Paul Friedel, Moritz Bürck, J. Leo van Hemmen
Neuronal identification of acoustic signal periodicity. Biol. Cybern. 97 (3) (2007)
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)
J. Leo van Hemmen
Biology and mathematics: A fruitful merger of two cultures. Biol. Cybern. 97 (1) (2007)
J. Leo van Hemmen
Editorial. Biol. Cybern. 94 (1) (2006)
Jan-Moritz P. Franosch, Andreas B. Sichert, Maria D. Suttner, J. Leo van Hemmen
and by fish - A cybernetic approach. Biol. Cybern. 93 (4) (2005)
Oliver G. Wenisch, Joachim Noll, J. Leo van Hemmen
Spontaneously emerging direction selectivity maps in visual cortex through STDP. Biol. Cybern. 93 (4) (2005)
J. Leo van Hemmen
Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium? Biol. Cybern. 91 (6) (2004)
Anthony N. Burkitt, J. Leo van Hemmen
How synapses in the auditory system wax and wane: theoretical perspectives. Biol. Cybern. 89 (5) (2003)
Christian Leibold, J. Leo van Hemmen
Synaptic plasticity determines the character of interaural-time-difference representation. Neurocomputing (2003)
Gert Hauske, J. Leo van Hemmen
Online First publication. Biol. Cybern. 88 (1) (2003)
Christian Leibold, J. Leo van Hemmen
Mapping time. Biol. Cybern. 87 (5-6) (2002)
J. Leo van Hemmen, Walter Senn
Hebb in perspective. Biol. Cybern. 87 (5-6) (2002)
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) (2001)
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 (2001)
Christian Leibold, J. Leo van Hemmen
Temporal receptive fields, spikes, and Hebbian delay selection. Neural Networks 14 (6-7) (2001)
Ulrich Hillenbrand, J. Leo van Hemmen
Does Corticothalamic Feedback Control Cortical Velocity Tuning? Neural Comput. 13 (2) (2001)
Christian Leibold, Richard Kempter, Hermann Wagner, J. Leo van Hemmen
An interaural time difference map resulting from axonal selection through non-specific learning. Neurocomputing (2001)
Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. Neural Comput. 13 (12) (2001)
Julian Eggert, J. Leo van Hemmen
Modeling Neuronal Assemblies: Theory and Implementation. Neural Comput. 13 (9) (2001)
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) (2000)
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) (2000)
Werner M. Kistler, J. Leo van Hemmen
Delayed reverberation through time windows as a key to cerebellar function. Biol. Cybern. 81 (5-6) (1999)
Werner M. Kistler, J. Leo van Hemmen
Short-Term Synaptic Plasticity and Network Behavior. Neural Comput. 11 (7) (1999)
Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner
Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. Neural Comput. 10 (8) (1998)
J. Leo van Hemmen
Circuit complexity and neural networks: By Ian Parberry. Complex. 3 (4) (1998)
Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
Spike-Based Compared to Rate-Based Hebbian Learning. NIPS (1998)
Stefan Wimbauer, Oliver G. Wenisch, K. D. Miller, J. Leo van Hemmen
Development of spatiotemporal receptive fields of simple cells: I. Model formulation. Biol. Cybern. 77 (6) (1997)
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)
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) (1997)
Julian Eggert, J. Leo van Hemmen
Derivation of Pool Dynamics from Microscopic Neuronal Models. ICANN (1997)
Stefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen, K. D. Miller
Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis. Biol. Cybern. 77 (6) (1997)
Ulrich Hillenbrand, J. Leo van Hemmen
Collective Dynamics of a System of Adaptive Velocity Channels. ICANN (1996)
Wulfram Gerstner, J. Leo van Hemmen, Jack D. Cowan
What Matters in Neuronal Locking? Neural Comput. 8 (8) (1996)
Ralf Solomon, J. Leo van Hemmen
Accelerating backpropagation through dynamic self-adaptation. Neural Networks 9 (4) (1996)
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) (1996)
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) (1995)
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)
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) (1994)
Stefan Wimbauer, Wulfram Gerstner, J. Leo van Hemmen
Emergence of spatiotemporal receptive fields and its application to motion detection. Biol. Cybern. 72 (1) (1994)
Stefan Wimbauer, Nikolaus Klemmer, J. Leo van Hemmen
Universality of unlearning. Neural Networks 7 (2) (1994)
Wulfram Gerstner, J. Leo van Hemmen
How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? NIPS (1993)
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) (1993)
Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biol. Cybern. 69 (5-6) (1993)
Stefan Wimbauer, J. Leo van Hemmen
Hebbian Unlearning. Analysis of Dynamical and Cognitive Systems (1993)
J. Leo van Hemmen, Raphael Ritz
Neural Coding - A Theoretical Vista of Mechanisms, Techniques, and Applications. Analysis of Dynamical and Cognitive Systems (1993)
Wulfram Gerstner, J. Leo van Hemmen
Universality in neural networks: the importance of the 'mean firing rate'. Biol. Cybern. 67 (3) (1992)
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)
Andreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen
Statistical Mechanics of Temporal Association in Neural Networks. NIPS (1990)