J. Leo van Hemmen

Biol. Cybern., 2010

Optimality in mono- and multisensory map formation.

[BibT_eX]

[DOI]

Biol. Cybern., 2010

2009

Editorial to volume 100 of <i>Biological Cybernetics</i>.

[BibT_eX]

[DOI]

Biol. Cybern., 2009

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Biol. Cybern., 2009

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

[BibT_eX]

[DOI]

Biol. Cybern., 2009

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

[BibT_eX]

[DOI]

Biol. Cybern., 2009

Neuronal identification of signal periodicity by balanced inhibition.

[BibT_eX]

[DOI]

Moritz Bürck

Biol. Cybern., 2009

2008

Population vector code: a geometric universal as actuator.

[BibT_eX]

[DOI]

Andrew B. Schwartz

Biol. Cybern., 2008

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

[BibT_eX]

[DOI]

Paul Friedel

Biol. Cybern., 2008

2007

Biology and mathematics: A fruitful merger of two cultures.

[BibT_eX]

[DOI]

Biol. Cybern., 2007

Neuronal identification of acoustic signal periodicity.

[BibT_eX]

[DOI]

Paul Friedel

Moritz Bürck

Biol. Cybern., 2007

Spike-timing-dependent plasticity for neurons with recurrent connections.

[BibT_eX]

[DOI]

Anthony N. Burkitt

Matthieu Gilson

Biol. Cybern., 2007

Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Editorial.

[BibT_eX]

[DOI]

Biol. Cybern., 2006

2005

Spontaneously emerging direction selectivity maps in visual cortex through STDP.

[BibT_eX]

[DOI]

Oliver G. Wenisch

Joachim Noll

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.

[BibT_eX]

[DOI]

Jan-Moritz P. Franosch

Andreas B. Sichert

Maria D. Suttner

Biol. Cybern., 2005

2004

Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium?

[BibT_eX]

[DOI]

Biol. Cybern., 2004

2003

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

[BibT_eX]

[DOI]

Christian Leibold

Neurocomputing, 2003

Online First publication.

[BibT_eX]

[DOI]

Gert Hauske

Biol. Cybern., 2003

How synapses in the auditory system wax and wane: theoretical perspectives.

[BibT_eX]

[DOI]

Anthony N. Burkitt

Biol. Cybern., 2003

2002

Mapping time.

[BibT_eX]

[DOI]

Christian Leibold

Biol. Cybern., 2002

Hebb in perspective.

[BibT_eX]

[DOI]

Walter Senn

Biol. Cybern., 2002

2001

Temporal receptive fields, spikes, and Hebbian delay selection.

[BibT_eX]

[DOI]

Christian Leibold

Neural Networks, 2001

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning.

[BibT_eX]

[DOI]

Richard Kempter

Neural Comput., 2001

Does Corticothalamic Feedback Control Cortical Velocity Tuning?

[BibT_eX]

[DOI]

Ulrich Hillenbrand

Neural Comput., 2001

Modeling Neuronal Assemblies: Theory and Implementation.

[BibT_eX]

[DOI]

Julian Eggert

Neural Comput., 2001

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

[BibT_eX]

[DOI]

Neurocomputing, 2001

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

[BibT_eX]

[DOI]

Julian Eggert

Berthold Bäuml

Neurocomputing, 2001

Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex.

[BibT_eX]

[DOI]

A. P. Bartsch

Biol. Cybern., 2001

2000

Calculation of Volterra Kernels for Solutions of Nonlinear Differential Equations.

[BibT_eX]

[DOI]

Erik G. F. Thomas

SIAM J. Appl. Math., 2000

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

[BibT_eX]

[DOI]

Neural Comput., 2000

1999

Short-Term Synaptic Plasticity and Network Behavior.

[BibT_eX]

[DOI]

Neural Comput., 1999

Delayed reverberation through time windows as a key to cerebellar function.

[BibT_eX]

[DOI]

Biol. Cybern., 1999

1998

Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input.

[BibT_eX]

[DOI]

Neural Comput., 1998

Circuit complexity and neural networks: By Ian Parberry.

[BibT_eX]

[DOI]

Complex., 1998

Spike-Based Compared to Rate-Based Hebbian Learning.

[BibT_eX]

[DOI]

Richard Kempter

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.

[BibT_eX]

[DOI]

Neural Comput., 1997

Development of spatiotemporal receptive fields of simple cells: I. Model formulation.

[BibT_eX]

[DOI]

Biol. Cybern., 1997

Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis.

[BibT_eX]

[DOI]

Biol. Cybern., 1997

A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells.

[BibT_eX]

[DOI]

Oliver G. Wenisch

Proceedings of the Artificial Neural Networks, 1997

Derivation of Pool Dynamics from Microscopic Neuronal Models.

[BibT_eX]

[DOI]

Julian Eggert

Proceedings of the Artificial Neural Networks, 1997

1996

Accelerating backpropagation through dynamic self-adaptation.

[BibT_eX]

[DOI]

Ralf Solomon

Neural Networks, 1996

What Matters in Neuronal Locking?

[BibT_eX]

[DOI]

Jack D. Cowan

Neural Comput., 1996

Vertical signal flow and oscillations in a three-layer model of the cortex.

[BibT_eX]

[DOI]

J. Comput. Neurosci., 1996

Collective Dynamics of a System of Adaptive Velocity Channels.

[BibT_eX]

[DOI]

Ulrich Hillenbrand

Proceedings of the Artificial Neural Networks, 1996

1995

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

[BibT_eX]

[DOI]

Neural Comput., 1995

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994

Universality of unlearning.

[BibT_eX]

[DOI]

Nikolaus Klemmer

Neural Networks, 1994

Emergence of spatiotemporal receptive fields and its application to motion detection.

[BibT_eX]

[DOI]

Biol. Cybern., 1994

A biologically motivated and analytically soluble model of collective oscillations in the cortex.

[BibT_eX]

[DOI]

Biol. Cybern., 1994

1993

A biologically motivated and analytically soluble model of collective oscillations in the cortex.

[BibT_eX]

[DOI]

Raphael Ritz

Biol. Cybern., 1993

Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns.

[BibT_eX]

[DOI]

Raphael Ritz

Biol. Cybern., 1993

How to Describe Neuronal Activity: Spikes, Rates, or Assemblies?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Hebbian Unlearning.

[BibT_eX]

[DOI]

Proceedings of the Analysis of Dynamical and Cognitive Systems, 1993

Neural Coding - A Theoretical Vista of Mechanisms, Techniques, and Applications.

[BibT_eX]

[DOI]

Raphael Ritz

Proceedings of the Analysis of Dynamical and Cognitive Systems, 1993

1992

Universality in neural networks: the importance of the 'mean firing rate'.

[BibT_eX]

[DOI]

Biol. Cybern., 1992

1990

Encoding and Decoding of Patterns which are Correlated in Space and Time.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Andreas V. M. Herz

Zhaoping Li