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Fereshteh Lagzi
Fereshteh Lagzi
Bestätigte E-Mail-Adresse bei uw.edu
Titel
Zitiert von
Zitiert von
Jahr
Dynamics of competition between subnetworks of spiking neuronal networks in the balanced state
F Lagzi, S Rotter
PloS one 10 (9), e0138947, 2015
212015
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
92021
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
92014
Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network
F Lagzi, FM Atay, S Rotter
Scientific reports 9 (1), 11397, 2019
62019
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
62012
Tuned inhibitory firing rate and connection weights as emergent network properties
F Lagzi, A Fairhall
BioRxiv, 2022.04. 12.488114, 2022
32022
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
22022
Dynamics of competition between coupled spiking networks in the balanced state
F Lagzi, S Rotter
BMC Neuroscience 16 (Suppl 1), P211, 2015
12015
Nonlinear Dynamics of Interacting Spiking Neuronal Networks
F Lagzi
Albert-Ludwigs-Universität Freiburg im Breisgau, 2015
12015
Nonlinear dynamics of large-scale activity in" networks of networks"
F Lagzi, FM Atay, S Rotter
BMC Neuroscience 14 (Suppl 1), P331, 2013
12013
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
2024
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
Compact representations and pruning in residual networks
F Lagzi, T Ball, J Boedecker
2018
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
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
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