J. Leo van Hemmen

According to our database1, J. Leo van Hemmen authored at least 72 papers between 1990 and 2018.

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Bibliography

2018
Reflections on biological cybernetics: past, present, prospects.
Biol. Cybern., 2018

2016
Internally coupled ears: mathematical structures and mechanisms underlying ICE.
Biol. Cybern., 2016

Animals and ICE: meaning, origin, and diversity.
Biol. Cybern., 2016

2015
My science, right or wrong!
Biol. Cybern., 2015

2014
Structural aspects of biological cybernetics: Valentino Braitenberg, neuroanatomy, and brain function.
Biol. Cybern., 2014

Neuroscience from a mathematical perspective: key concepts, scales and scaling hypothesis, universality.
Biol. Cybern., 2014

2013
Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions.
Neural Comput., 2013

Resonating vector strength: what happens when we vary the "probing" frequency while keeping the spike times fixed.
Biol. Cybern., 2013

Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives.
Biol. Cybern., 2013

2012
Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity.
Neural Comput., 2012

Foreword for the special issue on Multimodal and Sensorimotor Bionics.
Biol. Cybern., 2012

2010
STDP in Recurrent Neuronal Networks.
Frontiers Comput. Neurosci., 2010

How stimulus shape affects lateral-line perception: analytical approach to analyze natural stimuli characteristics.
Biol. Cybern., 2010

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence.
Biol. Cybern., 2010

Optimality in mono- and multisensory map formation.
Biol. Cybern., 2010

2009
Editorial to volume 100 of <i>Biological Cybernetics</i>.
Biol. Cybern., 2009

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV.
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.
Biol. Cybern., 2009

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking.
Biol. Cybern., 2009

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways.
Biol. Cybern., 2009

Neuronal identification of signal periodicity by balanced inhibition.
Biol. Cybern., 2009

2008
Population vector code: a geometric universal as actuator.
Biol. Cybern., 2008

Inhibition, not excitation, is the key to multimodal sensory integration.
Biol. Cybern., 2008

2007
Biology and mathematics: A fruitful merger of two cultures.
Biol. Cybern., 2007

Neuronal identification of acoustic signal periodicity.
Biol. Cybern., 2007

Spike-timing-dependent plasticity for neurons with recurrent connections.
Biol. Cybern., 2007

Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Editorial.
Biol. Cybern., 2006

2005
Spontaneously emerging direction selectivity maps in visual cortex through STDP.
Biol. Cybern., 2005

Estimating position and velocity of a submerged moving object by the clawed frog <i>Xenopus</i> and by fish - A cybernetic approach.
Biol. Cybern., 2005

2004
Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium?
Biol. Cybern., 2004

2003
Synaptic plasticity determines the character of interaural-time-difference representation.
Neurocomputing, 2003

Online First publication.
Biol. Cybern., 2003

How synapses in the auditory system wax and wane: theoretical perspectives.
Biol. Cybern., 2003

2002
Mapping time.
Biol. Cybern., 2002

Hebb in perspective.
Biol. Cybern., 2002

2001
Temporal receptive fields, spikes, and Hebbian delay selection.
Neural Networks, 2001

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning.
Neural Comput., 2001

Does Corticothalamic Feedback Control Cortical Velocity Tuning?
Neural Comput., 2001

Modeling Neuronal Assemblies: Theory and Implementation.
Neural Comput., 2001

An interaural time difference map resulting from axonal selection through non-specific learning.
Neurocomputing, 2001

Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies.
Neurocomputing, 2001

Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex.
Biol. Cybern., 2001

2000
Calculation of Volterra Kernels for Solutions of Nonlinear Differential Equations.
SIAM J. Appl. Math., 2000

Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials.
Neural Comput., 2000

1999
Short-Term Synaptic Plasticity and Network Behavior.
Neural Comput., 1999

Delayed reverberation through time windows as a key to cerebellar function.
Biol. Cybern., 1999

1998
Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input.
Neural Comput., 1998

Circuit complexity and neural networks: By Ian Parberry.
Complex., 1998

Spike-Based Compared to Rate-Based Hebbian Learning.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model.
Neural Comput., 1997

Development of spatiotemporal receptive fields of simple cells: I. Model formulation.
Biol. Cybern., 1997

Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis.
Biol. Cybern., 1997

A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells.
Proceedings of the Artificial Neural Networks, 1997

Derivation of Pool Dynamics from Microscopic Neuronal Models.
Proceedings of the Artificial Neural Networks, 1997

1996
Accelerating backpropagation through dynamic self-adaptation.
Neural Networks, 1996

What Matters in Neuronal Locking?
Neural Comput., 1996

Vertical signal flow and oscillations in a three-layer model of the cortex.
J. Comput. Neurosci., 1996

Collective Dynamics of a System of Adaptive Velocity Channels.
Proceedings of the Artificial Neural Networks, 1996

1995
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts.
Neural Comput., 1995

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Universality of unlearning.
Neural Networks, 1994

Emergence of spatiotemporal receptive fields and its application to motion detection.
Biol. Cybern., 1994

A biologically motivated and analytically soluble model of collective oscillations in the cortex.
Biol. Cybern., 1994

1993
A biologically motivated and analytically soluble model of collective oscillations in the cortex.
Biol. Cybern., 1993

Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns.
Biol. Cybern., 1993

How to Describe Neuronal Activity: Spikes, Rates, or Assemblies?
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Hebbian Unlearning.
Proceedings of the Analysis of Dynamical and Cognitive Systems, 1993

Neural Coding - A Theoretical Vista of Mechanisms, Techniques, and Applications.
Proceedings of the Analysis of Dynamical and Cognitive Systems, 1993

1992
Universality in neural networks: the importance of the 'mean firing rate'.
Biol. Cybern., 1992

1990
Encoding and Decoding of Patterns which are Correlated in Space and Time.
Proceedings of the Konnektionismus in Artificial Intelligence und Kognitionsforschung. Proceedings 6. Österreichische Artificial Intelligence-Tagung (KONNAI), 1990

Statistical Mechanics of Temporal Association in Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990


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