Jan Benda
Jan Benda
Professor, Neuroethology, University Tübingen
Verified email at - Homepage
Cited by
Cited by
A universal model for spike-frequency adaptation
J Benda, AVM Herz
Neural computation 15 (11), 2523-2564, 2003
Spike-frequency adaptation separates transient communication signals from background oscillations
J Benda, A Longtin, L Maler
Journal of Neuroscience 25 (9), 2312-2321, 2005
Linear versus nonlinear signal transmission in neuron models with adaptation currents or dynamic thresholds
J Benda, L Maler, A Longtin
Journal of Neurophysiology 104 (5), 2806-2820, 2010
A synchronization-desynchronization code for natural communication signals
J Benda, A Longtin, L Maler
Neuron 52 (2), 347-358, 2006
Neuronal mechanisms of mutations in SCN8A causing epilepsy or intellectual disability
Y Liu, J Schubert, L Sonnenberg, KL Helbig, CE Hoei-Hansen, M Koko, ...
Brain 142 (2), 376-390, 2019
The cellular basis for parallel neural transmission of a high-frequency stimulus and its low-frequency envelope
JW Middleton, A Longtin, J Benda, L Maler
Proceedings of the National Academy of Sciences 103 (39), 14596-14601, 2006
Genotype-phenotype correlations in SCN8A-related disorders reveal prognostic and therapeutic implications
KM Johannesen, Y Liu, M Koko, CE Gjerulfsen, L Sonnenberg, J Schubert, ...
Brain 145 (9), 2991-3009, 2022
A bottom-up approach to data annotation in neurophysiology
J Grewe, T Wachtler, J Benda
Frontiers in neuroinformatics 5, 16, 2011
How noisy adaptation of neurons shapes interspike interval histograms and correlations
T Schwalger, K Fisch, J Benda, B Lindner
PLoS computational biology 6 (12), e1001026, 2010
From response to stimulus: adaptive sampling in sensory physiology
J Benda, T Gollisch, CK Machens, AVM Herz
Current opinion in neurobiology 17 (4), 430-436, 2007
Spike-frequency adaptation generates intensity invariance in a primary auditory interneuron
J Benda, RM Hennig
Journal of computational neuroscience 24, 113-136, 2008
Neural adaptation
J Benda
Current Biology 31 (3), R110-R116, 2021
Statistics of natural communication signals observed in the wild identify important yet neglected stimulus regimes in weakly electric fish
J Henninger, R Krahe, F Kirschbaum, J Grewe, J Benda
Journal of Neuroscience 38 (24), 5456-5465, 2018
Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron
K Fisch, T Schwalger, B Lindner, AVM Herz, J Benda
Journal of Neuroscience 32 (48), 17332-17344, 2012
Limits of linear rate coding of dynamic stimuli by electroreceptor afferents
D Gussin, J Benda, L Maler
Journal of neurophysiology 97 (4), 2917-2929, 2007
Energy integration describes sound-intensity coding in an insect auditory system
T Gollisch, H Schütze, J Benda, AVM Herz
Journal of Neuroscience 22 (23), 10434-10448, 2002
The effect of difference frequency on electrocommunication: chirp production and encoding in a species of weakly electric fish, Apteronotus leptorhynchus
GJ Hupé, JE Lewis, J Benda
Journal of Physiology-Paris 102 (4-6), 164-172, 2008
Postsynaptic receptive field size and spike threshold determine encoding of high-frequency information via sensitivity to synchronous presynaptic activity
JW Middleton, A Longtin, J Benda, L Maler
Journal of Neurophysiology 101 (3), 1160-1170, 2009
File format and library for neuroscience data and metadata
A Stoewer, CJ Kellner, J Benda, T Wachtler, J Grewe
Front. Neuroinform 8 (27), 10.3389, 2014
Synchronous spikes are necessary but not sufficient for a synchrony code in populations of spiking neurons
J Grewe, A Kruscha, B Lindner, J Benda
Proceedings of the National Academy of Sciences 114 (10), E1977-E1985, 2017
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