| Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks F Zenke, EJ Agnes, W Gerstner Nature communications 6, 6922, 2015 | 374 | 2015 |
| Inhibitory Plasticity: Balance, Control, and Codependence G Hennequin, EJ Agnes, TP Vogels Annual Review of Neuroscience 40 (1), 557-579, 2017 | 222 | 2017 |
| A meta-learning approach to (re) discover plasticity rules that carve a desired function into a neural network B Confavreux, F Zenke, E Agnes, T Lillicrap, T Vogels Advances in Neural Information Processing Systems 33, 16398-16408, 2020 | 38 | 2020 |
| Synchronization regimes in a map-based model neural network EJ Agnes, R Erichsen Jr, LG Brunnet Physica A: Statistical Mechanics and its Applications 389 (3), 651-658, 2010 | 19 | 2010 |
| Complementary inhibitory weight profiles emerge from plasticity and allow flexible switching of receptive fields EJ Agnes, AI Luppi, TP Vogels Journal of Neuroscience 40 (50), 9634-9649, 2020 | 17* | 2020 |
| Model architecture for associative memory in a neural network of spiking neurons EJ Agnes, R Erichsen Jr, LG Brunnet Physica A: Statistical Mechanics and its Applications 391 (3), 843-848, 2012 | 17 | 2012 |
| Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks EJ Agnes, TP Vogels Nature Neuroscience 27 (5), 964-974, 2024 | 14* | 2024 |
| Regimes and mechanisms of transient amplification in abstract and biological neural networks G Christodoulou, TP Vogels, EJ Agnes PLOS Computational Biology 18 (8), e1010365, 2022 | 14* | 2022 |
| High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating WF Podlaski, EJ Agnes, TP Vogels bioRxiv, 2020.01. 08.898528, 2022 | 9* | 2022 |
| Spike timing analysis in neural networks with unsupervised synaptic plasticity BEP Mizusaki, EJ Agnes, LG Brunnet, R Erichsen Jr AIP Conference Proceedings 1510 (1), 213-215, 2013 | 5 | 2013 |
| Learning and retrieval behavior in recurrent neural networks with pre-synaptic dependent homeostatic plasticity BEP Mizusaki, EJ Agnes, R Erichsen Jr, LG Brunnet Physica A: Statistical Mechanics and its Applications 479, 279-286, 2017 | 3 | 2017 |
| Strategies to associate memories by unsupervised learning in neural networks EJ Agnes, BEP Mizusaki, R Erichsen Jr, LG Brunnet AIP Conference Proceedings 1510 (1), 255-257, 2013 | 3 | 2013 |
| Associative memory in neuronal networks of spiking neurons: architecture and storage analysis EJ Agnes, R Erichsen Jr, LG Brunnet International Conference on Artificial Neural Networks, 145-152, 2012 | 3 | 2012 |
| Unsupervised learning in neural networks with short range synapses LG Brunnet, EJ Agnes, BEP Mizusaki, R Erichsen Jr AIP Conference Proceedings 1510 (1), 251-254, 2013 | 2 | 2013 |
| Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks. B Confavreux, EJ Agnes, F Zenke, H Sprekeler, TP Vogels bioRxiv, 2024.06. 17.599260, 2024 | | 2024 |
Tim P. VogelsInstitute of Science and Technology, AustriaVerified email at ist.ac.at
