Articoli con mandati relativi all'accesso pubblico - Sander BohteUlteriori informazioni
Non disponibile pubblicamente: 1
Continuous-time spike-based reinforcement learning for working memory tasks
M Karamanis, D Zambrano, S Bohté
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
Mandati: Netherlands Organisation for Scientific Research
Disponibili pubblicamente: 35
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
B Yin, F Corradi, SM Bohté
Nature Machine Intelligence 3 (10), 905-913, 2021
Mandati: Netherlands Organisation for Scientific Research
Sparse computation in adaptive spiking neural networks
D Zambrano, R Nusselder, HS Scholte, SM Bohté
Frontiers in neuroscience 12, 987, 2019
Mandati: Netherlands Organisation for Scientific Research
Dilated convolutional neural networks for time series forecasting
A Borovykh, S Bohte, CW Oosterlee
Journal of Computational Finance 29, 73-101, 2018
Mandati: European Commission
Effective and efficient computation with multiple-timescale spiking recurrent neural networks
B Yin, F Corradi, SM Bohté
International Conference on Neuromorphic Systems 2020, 1-8, 2020
Mandati: Netherlands Organisation for Scientific Research
How attention can create synaptic tags for the learning of working memories in sequential tasks
JO Rombouts, SM Bohte, PR Roelfsema
PLoS computational biology 11 (3), e1004060, 2015
Mandati: European Commission
Accurate online training of dynamical spiking neural networks through forward propagation through time
B Yin, F Corradi, SM Bohté
Nature Machine Intelligence 5 (5), 518-527, 2023
Mandati: Netherlands Organisation for Scientific Research
Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype
B Yin, M Balvert, RAA van der Spek, BE Dutilh, S Bohte, J Veldink, ...
Bioinformatics 35 (14), i538-i547, 2019
Mandati: Netherlands Organisation for Scientific Research
Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning
NT Mücke, SM Bohté, CW Oosterlee
Journal of Computational Science 53, 101408, 2021
Mandati: Netherlands Organisation for Scientific Research
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation
I Pozzi, S Bohte, P Roelfsema
Advances in neural information processing systems 33, 2516-2526, 2020
Mandati: Netherlands Organisation for Scientific Research, European Commission
A learning rule that explains how rewards teach attention
JO Rombouts, SM Bohte, J Martinez-Trujillo, PR Roelfsema
Visual Cognition 23 (1-2), 179-205, 2015
Mandati: European Commission
Multimodal representation learning for place recognition using deep Hebbian predictive coding
MJ Pearson, S Dora, O Struckmeier, TC Knowles, B Mitchinson, K Tiwari, ...
Frontiers in Robotics and AI 8, 732023, 2021
Mandati: European Commission
Depth in convolutional neural networks solves scene segmentation
N Seijdel, N Tsakmakidis, EHF De Haan, SM Bohte, HS Scholte
PLoS computational biology 16 (7), e1008022, 2020
Mandati: European Commission
Deep gated Hebbian predictive coding accounts for emergence of complex neural response properties along the visual cortical hierarchy
S Dora, SM Bohte, CMA Pennartz
Frontiers in Computational Neuroscience 15, 666131, 2021
Mandati: European Commission
A deep predictive coding network for inferring hierarchical causes underlying sensory inputs
S Dora, C Pennartz, S Bohte
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
Mandati: European Commission
Arousal state affects perceptual decision-making by modulating hierarchical sensory processing in a large-scale visual system model
LKA Sörensen, SM Bohté, HA Slagter, HS Scholte
PLOS Computational Biology 18 (4), e1009976, 2022
Mandati: Netherlands Organisation for Scientific Research
Mechanisms of human dynamic object recognition revealed by sequential deep neural networks
LKA Sörensen, SM Bohté, D De Jong, HA Slagter, HS Scholte
PLOS Computational Biology 19 (6), e1011169, 2023
Mandati: Netherlands Organisation for Scientific Research
Leveraging spiking deep neural networks to understand the neural mechanisms underlying selective attention
LKA Sörensen, D Zambrano, HA Slagter, SM Bohté, HS Scholte
Journal of cognitive neuroscience 34 (4), 655-674, 2022
Mandati: Netherlands Organisation for Scientific Research
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
M Brucklacher, SM Bohté, JF Mejias, CMA Pennartz
Frontiers in Computational Neuroscience 17, 1207361, 2023
Mandati: European Commission
Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications
NT Mücke, B Sanderse, SM Bohté, CW Oosterlee
Computers & Mathematics with Applications 147, 278-299, 2023
Mandati: Netherlands Organisation for Scientific Research
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