J. Leo van Hemmen

73 papers C 3Journal 62Unranked 8

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Mathematization of nature: how it is done. Biol. Cybern. J. Leo van Hemmen
2018	J	`jnl`	Reflections on biological cybernetics: past, present, prospects. Biol. Cybern. J. Leo van Hemmen
2016	J	`jnl`	Animals and ICE: meaning, origin, and diversity. Biol. Cybern. J. Leo van Hemmen, Jakob Christensen-Dalsgaard, Catherine E. Carr, Peter M. Narins
2016	J	`jnl`	Internally coupled ears: mathematical structures and mechanisms underlying ICE. Biol. Cybern. Anupam P. Vedurmudi, Bruce A. Young, J. Leo van Hemmen
2015	J	`jnl`	My science, right or wrong! Biol. Cybern. J. Leo van Hemmen
2014	J	`jnl`	Neuroscience from a mathematical perspective: key concepts, scales and scaling hypothesis, universality. Biol. Cybern. J. Leo van Hemmen
2014	J	`jnl`	Structural aspects of biological cybernetics: Valentino Braitenberg, neuroanatomy, and brain function. Biol. Cybern. J. Leo van Hemmen, Almut Schüz, Ad Aertsen
2013	J	`jnl`	Resonating vector strength: what happens when we vary the "probing" frequency while keeping the spike times fixed. Biol. Cybern. J. Leo van Hemmen, Andreas N. Vollmayr
2013	J	`jnl`	Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions. Neural Comput. Jan-Moritz P. Franosch, Sebastian Urban, J. Leo van Hemmen
2013	J	`jnl`	Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives. Biol. Cybern. J. Leo van Hemmen
2012	J	`jnl`	Foreword for the special issue on Multimodal and Sensorimotor Bionics. Biol. Cybern. J. Leo van Hemmen, Patrick van der Smagt, Barry E. Stein
2012	J	`jnl`	Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. Neural Comput. Matthieu Gilson, Moritz Bürck, Anthony N. Burkitt, J. Leo van Hemmen
2010	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2010	J	`jnl`	How stimulus shape affects lateral-line perception: analytical approach to analyze natural stimuli characteristics. Biol. Cybern. Andreas B. Sichert, J. Leo van Hemmen
2010	J	`jnl`	Optimality in mono- and multisensory map formation. Biol. Cybern. Moritz Bürck, Paul Friedel, Andreas B. Sichert, Christine Vossen, J. Leo van Hemmen
2010	J	`jnl`	STDP in Recurrent Neuronal Networks. Frontiers Comput. Neurosci. Matthieu Gilson, Anthony N. Burkitt, J. Leo van Hemmen
2009	J	`jnl`	Editorial to volume 100 of Biol. Cybern. J. Leo van Hemmen
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	J	`jnl`	Neuronal identification of signal periodicity by balanced inhibition. Biol. Cybern. Moritz Bürck, J. Leo van Hemmen
2008	J	`jnl`	Inhibition, not excitation, is the key to multimodal sensory integration. Biol. Cybern. Paul Friedel, J. Leo van Hemmen
2008	J	`jnl`	Population vector code: a geometric universal as actuator. Biol. Cybern. J. Leo van Hemmen, Andrew B. Schwartz
2007	J	`jnl`	Biology and mathematics: A fruitful merger of two cultures. Biol. Cybern. J. Leo van Hemmen
2007	J	`jnl`	Neuronal identification of acoustic signal periodicity. Biol. Cybern. Paul Friedel, Moritz Bürck, J. Leo van Hemmen
2007	—	`conf`	Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. ICONIP (1) Matthieu Gilson, David B. Grayden, J. Leo van Hemmen, Doreen A. Thomas, Anthony N. Burkitt
2007	J	`jnl`	Spike-timing-dependent plasticity for neurons with recurrent connections. Biol. Cybern. Anthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen
2006	J	`jnl`	Editorial. Biol. Cybern. J. Leo van Hemmen
2005	J	`jnl`	Estimating position and velocity of a submerged moving object by the clawed frog Biol. Cybern. Jan-Moritz P. Franosch, Andreas B. Sichert, Maria D. Suttner, J. Leo van Hemmen
2005	J	`jnl`	Spontaneously emerging direction selectivity maps in visual cortex through STDP. Biol. Cybern. Oliver G. Wenisch, Joachim Noll, J. Leo van Hemmen
2004	J	`jnl`	Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium? Biol. Cybern. J. Leo van Hemmen
2003	J	`jnl`	How synapses in the auditory system wax and wane: theoretical perspectives. Biol. Cybern. Anthony N. Burkitt, J. Leo van Hemmen
2003	J	`jnl`	Online First publication. Biol. Cybern. Gert Hauske, J. Leo van Hemmen
2003	J	`jnl`	Synaptic plasticity determines the character of interaural-time-difference representation. Neurocomputing Christian Leibold, J. Leo van Hemmen
2002	J	`jnl`	Hebb in perspective. Biol. Cybern. J. Leo van Hemmen, Walter Senn
2002	J	`jnl`	Mapping time. Biol. Cybern. Christian Leibold, J. Leo van Hemmen
2001	J	`jnl`	An interaural time difference map resulting from axonal selection through non-specific learning. Neurocomputing Christian Leibold, Richard Kempter, Hermann Wagner, J. Leo van Hemmen
2001	J	`jnl`	Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex. Biol. Cybern. A. P. Bartsch, J. Leo van Hemmen
2001	J	`jnl`	Does Corticothalamic Feedback Control Cortical Velocity Tuning? Neural Comput. Ulrich Hillenbrand, J. Leo van Hemmen
2001	J	`jnl`	Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies. Neurocomputing Julian Eggert, Berthold Bäuml, J. Leo van Hemmen
2001	J	`jnl`	Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. Neural Comput. Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
2001	J	`jnl`	Modeling Neuronal Assemblies: Theory and Implementation. Neural Comput. Julian Eggert, J. Leo van Hemmen
2001	J	`jnl`	Temporal receptive fields, spikes, and Hebbian delay selection. Neural Networks Christian Leibold, J. Leo van Hemmen
2000	J	`jnl`	Calculation of Volterra Kernels for Solutions of Nonlinear Differential Equations. SIAM J. Appl. Math. Erik G. F. Thomas, J. Leo van Hemmen, Werner M. Kistler
2000	J	`jnl`	Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials. Neural Comput. Werner M. Kistler, J. Leo van Hemmen
1999	J	`jnl`	Delayed reverberation through time windows as a key to cerebellar function. Biol. Cybern. Werner M. Kistler, J. Leo van Hemmen
1999	J	`jnl`	Short-Term Synaptic Plasticity and Network Behavior. Neural Comput. Werner M. Kistler, J. Leo van Hemmen
1998	J	`jnl`	Circuit complexity and neural networks: By Ian Parberry. Complex. J. Leo van Hemmen
1998	J	`jnl`	Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. Neural Comput. Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner
1998	—	`conf`	Spike-Based Compared to Rate-Based Hebbian Learning. NIPS Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
1997	C	`conf`	A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells. ICANN Stefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen
1997	C	`conf`	Derivation of Pool Dynamics from Microscopic Neuronal Models. ICANN Julian Eggert, J. Leo van Hemmen
1997	J	`jnl`	Development of spatiotemporal receptive fields of simple cells: I. Model formulation. Biol. Cybern. Stefan Wimbauer, Oliver G. Wenisch, Kenneth D. Miller, J. Leo van Hemmen
1997	J	`jnl`	Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis. Biol. Cybern. Stefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen, Kenneth D. Miller
1997	J	`jnl`	Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model. Neural Comput. Werner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen
1996	J	`jnl`	Accelerating backpropagation through dynamic self-adaptation. Neural Networks Ralf Solomon, J. Leo van Hemmen
1996	C	`conf`	Collective Dynamics of a System of Adaptive Velocity Channels. ICANN Ulrich Hillenbrand, J. Leo van Hemmen
1996	J	`jnl`	Vertical signal flow and oscillations in a three-layer model of the cortex. J. Comput. Neurosci. Ursula Fuentes, Raphael Ritz, Wulfram Gerstner, J. Leo van Hemmen
1996	J	`jnl`	What Matters in Neuronal Locking? Neural Comput. Wulfram Gerstner, J. Leo van Hemmen, Jack D. Cowan
1995	J	`jnl`	Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. Neural Comput. C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
1995	—	`conf`	Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway. NIPS Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner
1994	J	`jnl`	A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biol. Cybern. Raphael Ritz, Wulfram Gerstner, Ursula Fuentes, J. Leo van Hemmen
1994	J	`jnl`	Emergence of spatiotemporal receptive fields and its application to motion detection. Biol. Cybern. Stefan Wimbauer, Wulfram Gerstner, J. Leo van Hemmen
1994	J	`jnl`	Universality of unlearning. Neural Networks Stefan Wimbauer, Nikolaus Klemmer, J. Leo van Hemmen
1993	J	`jnl`	A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biol. Cybern. Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
1993	—	`conf`	Hebbian Unlearning. Analysis of Dynamical and Cognitive Systems Stefan Wimbauer, J. Leo van Hemmen
1993	—	`conf`	How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? NIPS Wulfram Gerstner, J. Leo van Hemmen
1993	—	`conf`	Neural Coding - A Theoretical Vista of Mechanisms, Techniques, and Applications. Analysis of Dynamical and Cognitive Systems J. Leo van Hemmen, Raphael Ritz
1993	J	`jnl`	Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biol. Cybern. Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
1992	J	`jnl`	Universality in neural networks: the importance of the 'mean firing rate'. Biol. Cybern. Wulfram Gerstner, J. Leo van Hemmen
1990	—	`conf`	Encoding and Decoding of Patterns which are Correlated in Space and Time. ÖGAI J. Leo van Hemmen, Wulfram Gerstner, Andreas V. M. Herz, Reimer Kühn, B. Sulzer, M. Vaas
1990	—	`conf`	Statistical Mechanics of Temporal Association in Neural Networks. NIPS Andreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen