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Zitiert von
Zitiert von
Jahr
Marginally subcritical dynamics explain enhanced stimulus discriminability under attention
N Tomen, D Rotermund, U Ernst
Frontiers in systems neuroscience 8, 151, 2014
512014
The functional role of critical dynamics in neural systems
N Tomen, JM Herrmann, U Ernst
Springer, 2019
192019
Resolution learning in deep convolutional networks using scale-space theory
SL Pintea, N Tömen, SF Goes, M Loog, JC van Gemert
IEEE Transactions on Image Processing 30, 8342-8353, 2021
142021
Deep continuous networks
N Tomen, SL Pintea, J Van Gemert
International Conference on Machine Learning, 10324-10335, 2021
62021
Vipriors 2: visual inductive priors for data-efficient deep learning challenges
A Lengyel, RJ Bruintjes, MB Rios, OS Kayhan, D Zambrano, N Tomen, ...
arXiv preprint arXiv:2201.08625, 2022
42022
Spectral leakage and rethinking the kernel size in cnns
N Tomen, JC van Gemert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
The role of criticality in flexible visual information processing
N Tomen, U Ernst
The functional role of critical dynamics in neural systems, 233-264, 2019
42019
Frequency learning for structured CNN filters with Gaussian fractional derivatives
N Saldanha, SL Pintea, JC van Gemert, N Tomen
arXiv preprint arXiv:2111.06660, 2021
22021
Top-Down Networks: A coarse-to-fine reimagination of CNNs
I Lelekas, N Tomen, SL Pintea, JC van Gemert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
22020
26th annual computational neuroscience meeting (CNS* 2017): part 2
LL Rubchinsky, S Ahn, W Klijn, B Cumming, S Yates, V Karakasis, ...
BMC Neuroscience 18 (1), 1-79, 2017
22017
Heart rate estimation in intense exercise videos
Y Napolean, A Marwade, N Tomen, P Alkemade, T Eijsvogels, ...
2022 IEEE International Conference on Image Processing (ICIP), 3933-3937, 2022
12022
Marginally subcritical dynamics explain enhanced stimulus discriminability under attention
N Tomen, D Rotermund, U Ernst
Front. Syst. Neurosci 8, 2015
12015
Phase transitions in cortical dynamics explain improved information processing under attention
N Tomen, U Ernst
BMC Neuroscience 14 (1), 1-2, 2013
12013
Feature space quantization for data-driven search
N Tomen, M Takemiya, T Matsuo, I Hasegawa, Y Kamitani
2012 Second International Workshop on Pattern Recognition in NeuroImaging, 41-44, 2012
12012
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
L Zeng, A Lengyel, N Tömen, J van Gemert
arXiv preprint arXiv:2211.14074, 2022
2022
Analysis of object tracking algorithms performance on event-based datasets
A Olaru, N Tomen, O Strafforello, X Liu
2022
Functional Role of Critical Dynamics in Flexible Visual Information Processing
N Tömen
Universität Bremen, 2019
2019
Improved information processing under attention is explained by phase transitions in cortical dynamics
N Tomen, U Ernst
Bernstein Conference 2013, 2013
2013
Spectral Leakage and Rethinking the Kernel Size in CNNs–Supplementary material–
N Tomen, JC van Gemert
Top-Down Networks: A coarse-to-fine reimagination of CNNs Supplementary material
I Lelekas, N Tomen, SL Pintea, JC van Gemert
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