Statistical Mechanics of Temporal Association in Neural Networks. - Andreas V. M. Herz; Zhaoping Li; J. Leo van Hemmen (NIPS, 1990)

Encoding and Decoding of Patterns which are Correlated in Space and Time. - J. Leo van Hemmen; Wulfram Gerstner; Andreas V. M. Herz; Reimer Kühn; B. Sulzer; M. Vaas (ÖGAI, 1990)

Universality in neural networks: the importance of the 'mean firing rate'. - Wulfram Gerstner; J. Leo van Hemmen (Biol. Cybern., 1992)

Neural Coding - A Theoretical Vista of Mechanisms, Techniques, and Applications. - J. Leo van Hemmen; Raphael Ritz (Analysis of Dynamical and Cognitive Systems, 1993)

Hebbian Unlearning. - Stefan Wimbauer; J. Leo van Hemmen (Analysis of Dynamical and Cognitive Systems, 1993)

How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? - Wulfram Gerstner; J. Leo van Hemmen (NIPS, 1993)

Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. - Wulfram Gerstner; Raphael Ritz; J. Leo van Hemmen (Biol. Cybern., 1993)

A biologically motivated and analytically soluble model of collective oscillations in the cortex. - Wulfram Gerstner; Raphael Ritz; J. Leo van Hemmen (Biol. Cybern., 1993)

A biologically motivated and analytically soluble model of collective oscillations in the cortex. - Raphael Ritz; Wulfram Gerstner; Ursula Fuentes; J. Leo van Hemmen (Biol. Cybern., 1994)

Emergence of spatiotemporal receptive fields and its application to motion detection. - Stefan Wimbauer; Wulfram Gerstner; J. Leo van Hemmen (Biol. Cybern., 1994)

Universality of unlearning. - Stefan Wimbauer; Nikolaus Klemmer; J. Leo van Hemmen (Neural Networks, 1994)

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen; Hermann Wagner (NIPS, 1995)

Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. - C. Fohlmeister; Wulfram Gerstner; Raphael Ritz; J. Leo van Hemmen (Neural Comput., 1995)

Collective Dynamics of a System of Adaptive Velocity Channels. - Ulrich Hillenbrand; J. Leo van Hemmen (ICANN, 1996)

Vertical signal flow and oscillations in a three-layer model of the cortex. - Ursula Fuentes; Raphael Ritz; Wulfram Gerstner; J. Leo van Hemmen (J. Comput. Neurosci., 1996)

What Matters in Neuronal Locking? - Wulfram Gerstner; J. Leo van Hemmen; Jack D. Cowan (Neural Comput., 1996)

Accelerating backpropagation through dynamic self-adaptation. - Ralf Solomon; J. Leo van Hemmen (Neural Networks, 1996)

Derivation of Pool Dynamics from Microscopic Neuronal Models. - Julian Eggert; J. Leo van Hemmen (ICANN, 1997)

A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells. - Stefan Wimbauer; Oliver G. Wenisch; J. Leo van Hemmen (ICANN, 1997)

Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis. - Stefan Wimbauer; Oliver G. Wenisch; J. Leo van Hemmen; Kenneth D. Miller (Biol. Cybern., 1997)

Development of spatiotemporal receptive fields of simple cells: I. Model formulation. - Stefan Wimbauer; Oliver G. Wenisch; Kenneth D. Miller; J. Leo van Hemmen (Biol. Cybern., 1997)

Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model. - Werner M. Kistler; Wulfram Gerstner; J. Leo van Hemmen (Neural Comput., 1997)

Spike-Based Compared to Rate-Based Hebbian Learning. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen (NIPS, 1998)

Circuit complexity and neural networks: By Ian Parberry. - J. Leo van Hemmen (Complex., 1998)

Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen; Hermann Wagner (Neural Comput., 1998)

Delayed reverberation through time windows as a key to cerebellar function. - Werner M. Kistler; J. Leo van Hemmen (Biol. Cybern., 1999)

Short-Term Synaptic Plasticity and Network Behavior. - Werner M. Kistler; J. Leo van Hemmen (Neural Comput., 1999)

Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials. - Werner M. Kistler; J. Leo van Hemmen (Neural Comput., 2000)

Calculation of Volterra Kernels for Solutions of Nonlinear Differential Equations. - Erik G. F. Thomas; J. Leo van Hemmen; Werner M. Kistler (SIAM J. Appl. Math., 2000)

Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex. - A. P. Bartsch; J. Leo van Hemmen (Biol. Cybern., 2001)

Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies. - Julian Eggert; Berthold Bäuml; J. Leo van Hemmen (Neurocomputing, 2001)

An interaural time difference map resulting from axonal selection through non-specific learning. - Christian Leibold; Richard Kempter; Hermann Wagner; J. Leo van Hemmen (Neurocomputing, 2001)

Modeling Neuronal Assemblies: Theory and Implementation. - Julian Eggert; J. Leo van Hemmen (Neural Comput., 2001)

Does Corticothalamic Feedback Control Cortical Velocity Tuning? - Ulrich Hillenbrand; J. Leo van Hemmen (Neural Comput., 2001)

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen (Neural Comput., 2001)

Temporal receptive fields, spikes, and Hebbian delay selection. - Christian Leibold; J. Leo van Hemmen (Neural Networks, 2001)

Hebb in perspective. - J. Leo van Hemmen; Walter Senn (Biol. Cybern., 2002)

Mapping time. - Christian Leibold; J. Leo van Hemmen (Biol. Cybern., 2002)

How synapses in the auditory system wax and wane: theoretical perspectives. - Anthony N. Burkitt; J. Leo van Hemmen (Biol. Cybern., 2003)

Online First publication. - Gert Hauske; J. Leo van Hemmen (Biol. Cybern., 2003)

Synaptic plasticity determines the character of interaural-time-difference representation. - Christian Leibold; J. Leo van Hemmen (Neurocomputing, 2003)

Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium? - J. Leo van Hemmen (Biol. Cybern., 2004)

Estimating position and velocity of a submerged moving object by the clawed frog Xenopus and by fish - A cybernetic approach. - Jan-Moritz P. Franosch; Andreas B. Sichert; Maria D. Suttner; J. Leo van Hemmen (Biol. Cybern., 2005)

Spontaneously emerging direction selectivity maps in visual cortex through STDP. - Oliver G. Wenisch; Joachim Noll; J. Leo van Hemmen (Biol. Cybern., 2005)

Editorial. - J. Leo van Hemmen (Biol. Cybern., 2006)

Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. - Matthieu Gilson; David B. Grayden; J. Leo van Hemmen; Doreen A. Thomas; Anthony N. Burkitt (ICONIP (1), 2007)

Spike-timing-dependent plasticity for neurons with recurrent connections. - Anthony N. Burkitt; Matthieu Gilson; J. Leo van Hemmen (Biol. Cybern., 2007)

Neuronal identification of acoustic signal periodicity. - Paul Friedel; Moritz Bürck; J. Leo van Hemmen (Biol. Cybern., 2007)

Biology and mathematics: A fruitful merger of two cultures. - J. Leo van Hemmen (Biol. Cybern., 2007)

Inhibition, not excitation, is the key to multimodal sensory integration. - Paul Friedel; J. Leo van Hemmen (Biol. Cybern., 2008)

Population vector code: a geometric universal as actuator. - J. Leo van Hemmen; Andrew B. Schwartz (Biol. Cybern., 2008)

Neuronal identification of signal periodicity by balanced inhibition. - Moritz Bürck; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Editorial to volume 100 of Biological Cybernetics. - J. Leo van Hemmen (Biol. Cybern., 2009)

Optimality in mono- and multisensory map formation. - Moritz Bürck; Paul Friedel; Andreas B. Sichert; Christine Vossen; J. Leo van Hemmen (Biol. Cybern., 2010)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2010)

How stimulus shape affects lateral-line perception: analytical approach to analyze natural stimuli characteristics. - Andreas B. Sichert; J. Leo van Hemmen (Biol. Cybern., 2010)

STDP in Recurrent Neuronal Networks. - Matthieu Gilson; Anthony N. Burkitt; J. Leo van Hemmen (Frontiers Comput. Neurosci., 2010)

Foreword for the special issue on Multimodal and Sensorimotor Bionics. - J. Leo van Hemmen; Patrick van der Smagt; Barry E. Stein (Biol. Cybern., 2012)

Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. - Matthieu Gilson; Moritz Bürck; Anthony N. Burkitt; J. Leo van Hemmen (Neural Comput., 2012)

Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives. - J. Leo van Hemmen (Biol. Cybern., 2013)

Resonating vector strength: what happens when we vary the "probing" frequency while keeping the spike times fixed. - J. Leo van Hemmen; Andreas N. Vollmayr (Biol. Cybern., 2013)

Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions. - Jan-Moritz P. Franosch; Sebastian Urban; J. Leo van Hemmen (Neural Comput., 2013)

Neuroscience from a mathematical perspective: key concepts, scales and scaling hypothesis, universality. - J. Leo van Hemmen (Biol. Cybern., 2014)

Structural aspects of biological cybernetics: Valentino Braitenberg, neuroanatomy, and brain function. - J. Leo van Hemmen; Almut Schüz; Ad Aertsen (Biol. Cybern., 2014)

My science, right or wrong! - J. Leo van Hemmen (Biol. Cybern., 2015)

Animals and ICE: meaning, origin, and diversity. - J. Leo van Hemmen; Jakob Christensen-Dalsgaard; Catherine E. Carr; Peter M. Narins (Biol. Cybern., 2016)

Internally coupled ears: mathematical structures and mechanisms underlying ICE. - Anupam P. Vedurmudi; Bruce A. Young; J. Leo van Hemmen (Biol. Cybern., 2016)

Reflections on biological cybernetics: past, present, prospects. - J. Leo van Hemmen (Biol. Cybern., 2018)

Mathematization of nature: how it is done. - J. Leo van Hemmen (Biol. Cybern., 2021)