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David Rotermund
David Rotermund
Подтвержден адрес электронной почты в домене neuro.uni-bremen.de - Главная страница
Название
Процитировано
Процитировано
Год
Optimal short-term population coding: When Fisher information fails
M Bethge, D Rotermund, K Pawelzik
Neural computation 14 (10), 2317-2351, 2002
1292002
Marginally subcritical dynamics explain enhanced stimulus discriminability under attention
N Tomen, D Rotermund, U Ernst
Frontiers in systems neuroscience 8, 151, 2014
532014
Optimal neural rate coding leads to bimodal firing rate distributions
M Bethge, D Rotermund, K Pawelzik
Network: Computation in Neural Systems 14 (2), 303, 2003
412003
Attention improves object representation in visual cortical field potentials
D Rotermund, K Taylor, UA Ernst, AK Kreiter, KR Pawelzik
Journal of Neuroscience 29 (32), 10120-10130, 2009
392009
Second order phase transition in neural rate coding: binary encoding is optimal for rapid signal transmission
M Bethge, D Rotermund, K Pawelzik
Physical review letters 90 (8), 088104, 2003
322003
Attention selectively gates afferent signal transmission to area V4
I Grothe, D Rotermund, SD Neitzel, S Mandon, UA Ernst, AK Kreiter, ...
Journal of Neuroscience 38 (14), 3441-3452, 2018
242018
Toward high performance, weakly invasive brain computer interfaces using selective visual attention
D Rotermund, UA Ernst, S Mandon, K Taylor, Y Smiyukha, AK Kreiter, ...
Journal of Neuroscience 33 (14), 6001-6011, 2013
242013
System And Device Implantable In Tissue Of A Living Being For Recording And Influencing Electrical Bio-Activity
K Pawelzik, D Rotermund
US Patent App. 10/594,051, 2007
222007
Towards on-line adaptation of neuro-prostheses with neuronal evaluation signals
D Rotermund, UA Ernst, KR Pawelzik
Biological cybernetics 95 (3), 243-257, 2006
222006
Development of a fully implantable recording system for ecog signals
J Pistor, J Hoeffmann, D Rotermund, E Tolstosheeva, T Schellenberg, ...
2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 893-898, 2013
192013
Back-propagation learning in deep spike-by-spike networks
D Rotermund, KR Pawelzik
Frontiers in Computational Neuroscience 13, 55, 2019
112019
Towards a wireless and fully-implantable ECoG system
E Tolstosheeva, J Hoeffmann, J Pistor, D Rotermund, T Schellenberg, ...
2013 Transducers & Eurosensors XXVII: The 17th International Conference on …, 2013
112013
Efficient computation based on stochastic spikes
U Ernst, D Rotermund, K Pawelzik
Neural computation 19 (5), 1313-1343, 2007
92007
Massively parallel fpga hardware for spike-by-spike networks
D Rotermund, KR Pawelzik
bioRxiv, 500280, 2018
72018
Open Hardware for neuro-prosthesis research: A study about a closed-loop multi-channel system for electrical surface stimulations and measurements
D Rotermund, UA Ernst, KR Pawelzik
HardwareX 6, e00078, 2019
62019
Open hardware: Towards a fully-wireless sub-cranial neuro-implant for measuring electrocorticography signals
D Rotermund, J Pistor, J Hoeffmann, T Schellenberg, D Boll, ...
bioRxiv, 036855, 2016
52016
Binary tuning is optimal for neural rate coding with high temporal resolution
M Bethge, D Rotermund, K Pawelzik
Advances in neural information processing systems 15, 2002
52002
Biologically plausible learning in a deep recurrent spiking network
D Rotermund, KR Pawelzik
bioRxiv, 613471, 2019
32019
Implications for a wireless, external device system to study electrocorticography
D Rotermund, J Pistor, J Hoeffmann, T Schellenberg, D Boll, ...
Sensors 17 (4), 761, 2017
32017
High-performance classification of contour percepts from EEG recordings
D Rotermund, M Schipper, M Fahle, UA Ernst
BMC Neuroscience 12, 1-2, 2011
32011
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Статьи 1–20