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Renart A, Brunel N, Wang X (2004) Mean-Field Theory of Irregularly Spiking Neuronal Populations and Working Memory in Recurrent Cortical Networks Computational Neuroscience: A Comprehensive Approach

References and models cited by this paper

References and models that cite this paper

Vasilaki E, Giugliano M (2014) Emergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapses. PLoS One 9:e84626 [Journal] [PubMed]
  • Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014) [Model]
Vertechi P, Brendel W, Machens CK (2014) Unsupervised learning of an efficient short-term memory network Advances in Neural Information Processing Systems 27:1-9 [Journal]
  • Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014) [Model]
Via G, Faber J, Cavalheiro EA (2017) Computational Models for the Propagation of Spreading Depression Waves Computational Neuroscience, Barone, Dante Augusto Couto and Teles, Eduardo Oliveira and Brackmann, Christian Puhlmann, ed. pp.49 [Journal]
Zerlaut Y, Chemla S, Chavane F, Destexhe A (2018) Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. J Comput Neurosci 44:45-61 [Journal] [PubMed]
  • Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN) [Model]
  • Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) [Model]
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