| Dynamics of competition between subnetworks of spiking neuronal networks in the balanced state F Lagzi, S Rotter PloS one 10 (9), e0138947, 2015 | 25 | 2015 |
| Assembly formation is stabilized by Parvalbumin neurons and accelerated by Somatostatin neurons F Lagzi, MC Bustos, AM Oswald, B Doiron BioRxiv, 2021.09. 06.459211, 2021 | 13 | 2021 |
| A Markov model for the temporal dynamics of balanced random networks of finite size F Lagzi, S Rotter Frontiers in Computational Neuroscience 8, 142, 2014 | 9 | 2014 |
| Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network F Lagzi, FM Atay, S Rotter Scientific reports 9 (1), 11397, 2019 | 7 | 2019 |
| The effect of proprioceptive training on multisensory perception under visual uncertainty M Saidi, F Towhidkhah, F Lagzi, S Gharibzadeh Journal of Integrative Neuroscience 11 (04), 401-415, 2012 | 7 | 2012 |
| Emergence of co-tuning in inhibitory neurons as a network phenomenon mediated by randomness, correlations, and homeostatic plasticity F Lagzi, AL Fairhall Science Advances 10 (12), eadi4350, 2024 | 4 | 2024 |
| Tuned inhibitory firing rate and connection weights as emergent network properties F Lagzi, A Fairhall BioRxiv, 2022.04. 12.488114, 2022 | 3 | 2022 |
| A mathematical model of neuroimmune interactions in epileptogenesis for discovering treatment strategies D Batulin, F Lagzi, A Vezzani, P Jedlicka, J Triesch Iscience 25 (6), 2022 | 2 | 2022 |
| Nonlinear dynamics of large-scale activity in" networks of networks" F Lagzi, FM Atay, S Rotter BMC Neuroscience 14 (Suppl 1), P331, 2013 | 2 | 2013 |
| Dynamics of competition between coupled spiking networks in the balanced state F Lagzi, S Rotter BMC Neuroscience 16 (Suppl 1), P211, 2015 | 1 | 2015 |
| Nonlinear Dynamics of Interacting Spiking Neuronal Networks F Lagzi Albert-Ludwigs-Universität Freiburg im Breisgau, 2015 | 1 | 2015 |
| Residual networks classify inputs based on their neural transient dynamics F Lagzi arXiv preprint arXiv:2101.03009, 2021 | | 2021 |
| A phenomenological model of neuroimmune interactions in epileptogenesis JT Danylo Batulin, Fereshteh Lagzi, Annamaria Vezzani, Peter Jedlicka bioRxiv, 2021 | | 2021 |
| Bifurcation analysis of the dynamics of interacting populations of spiking networks F Lagzi, FM Atay, S Rotter arXiv preprint arXiv:1809.04877, 2018 | | 2018 |
| Stability analysis of excitatory and inhibitory interacting populations of neurons F Lagzi | | 2011 |
| A Mathematical Model of Neuroimmune Interactions in Epileptogenesis: A New Tool for Discovering Treatment Strategies In Silico D Batulin, F Lagzi, A Vezzani, P Jedlicka, J Triesch Silico, 0 | | |
| Compact representations and pruning in residual networks F Lagzi, T Ball, J Boedecker | | |
| Lotka-Volterra equations capture large-scale population activity in balanced random networks F Lagzi, S Cardanobile, S Rotter | | |
| Lotka-Volterra Models Describe Large-Scale Activity of Balanced Random Networks F Lagzi, S Rotter | | |
| Nonlinear stochastic mean-field dynamics of interacting populations of spiking neurons F Lagzi, S Rotter Frontiers in Computational Neuroscience, 0, 0 | | |
Stefan RotterProfessor of Computational Neuroscience, Bernstein Center Freiburg, University of FreiburgVerified email at bio.uni-freiburg.de
