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Benda, Jan - Bernstein Center for Computational Neuroscience Munich & Department Biologie II, Ludwig Maximilians Universität München
Asymmetrical dynamics of voltage spread in retinal horizontal cell networks
The Transfer Function of an Auditory Interneuron as Predicted from IntensityResponse Curves
Energy Integration Describes Sound-Intensity Coding in an Insect Auditory System
SpikeFrequency Adaptation: Phenomenological Model and Experimental Tests
Closed-loop electrophysiological experiments and automated metadata acquisition with RELACS
Single Neuron Dynamics --Models Linking Theory and Experiment
Spike-Frequency Adaptation: Phenomenological Model and Experimental Tests
Single Neuron Dynamics --Models Linking Theory and Experiment
Spike-Frequency Adaptation Generates Intensity Invariance in a Primary Auditory Interneuron
Spike-Frequency Adaptation in the Auditory Preprocessing Module of Jan Benda1 & R. Matthias Hennig2
A Continuum Model for Horizontal Cell Layers Including
Encoding Communication Signals with Timescale Separation by Spike Frequency Adaptation
Single Neuron Dynamics --Models Linking Theory and Experiment
Interpretation of length constants in retinal horizontal cell layers
CONEUR-503; NO OF PAGES 7 From response to stimulus
An Adaptive Model for Retinal Horizontal Cell Syncytia Jan Benda, P'al Ruj'an, Josef Ammermuller
Single Neuron Dynamics --Models Linking Theory and Experiment
A Critical Review on the Length Constants of
Single Neuron Dynamics --Models Linking Theory and Experiment
LETTER Communicated by Carlos Brody Timescale-Invariant Pattern Recognition by Feedforward
0-8493-2024-0/05/$0.00+$1.50 2005 by CRC Press LLC
Brief Communications Timescale-Invariant Representation of Acoustic
Coding of Communication Signals by Spike Synchrony and Asynchrony
Single Neuron Dynamics --Models Linking Theory and Experiment
Spike-Frequency Adaptation: Phenomenological Model and Experimental Tests
A Synchronization-Desynchronization Code for Natural Communication Signals
The effect of difference frequency on electrocommunication: Chirp production and encoding in a species of weakly electric fish, Apteronotus leptorhynchus
Predicting the Transfer Function of an Auditory Interneuron from IntensityResponse Curves
Linear versus Nonlinear Signal Transmission in Neuron Models with Adaptation-Currents or
Behavioral/Systems/Cognitive The Origin of Adaptation in the Auditory Pathway of Locusts
Postsynaptic Receptive Field Size and Spike Threshold Determine Encoding of High-Frequency Information Via Sensitivity to Synchronous
Limits of Linear Rate Coding of Dynamic Stimuli by Electroreceptor Afferents
The cellular basis for parallel neural transmission of a high-frequency stimulus and its
Spike-Frequency Adaptation Separates Transient Communication Signals from Background
Dynamic changes in the receptive fields of L1-type horizontal cells in the retina of the
Single Neuron Dynamics --Models Linking Theory and Experiment
Single Neuron Dynamics --Models Linking Theory and Experiment
Linear versus nonlinear signal transmission in neuron models with adaptation-currents or
RELACS -a Modular Platform for Closed-Loop and Dynamic Clamp Experiments
How to Model Spike-Frequency Adpatation in Integrate-and-Fire Neurons
Fundamental filter properties of spiking neurons don't constrain detectability of communication signals in weakly electric fish
Two methods for time-resolved inter-spike interval analysis Martin Nawrot1,2 & Jan Benda1,3
Two Coding Strategies for Communication Signals in a Population Rate Code
A Universal Model for Spike-Frequency Jan Benda1 & Andreas V. M. Herz2
Class I PhaseResetting Curves in Auditory Receptor Cells in Locusts
NEUROINFORMATICS the reconstruction of the conditions or parameters under which a
Behavioral/Systems/Cognitive Multiple Arithmetic Operations in a Single Neuron: The