Jercog D et al. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6 [PubMed]

• Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017) [Model]

Komarov M et al. (2018). New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics. Journal of computational neuroscience. 44 [PubMed]

Krishnan GP et al. (2016). Cellular and neurochemical basis of sleep stages in the thalamocortical network. eLife. 5 [PubMed]

• Thalamocortical sleep model (Fink et. al., 2024, and Krishnan et al., 2016) [Model]

Krishnan GP, Filatov G, Shilnikov A, Bazhenov M. (2015). Electrogenic properties of the Na?/K? ATPase control transitions between normal and pathological brain states. Journal of neurophysiology. 113 [PubMed]

• Single cell model with variable ion concentrations and Na+/K+ ATPase (Krishnan et al. 2015) [Model]

Pena RFO, Zaks MA, Roque AC. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of computational neuroscience. 45 [PubMed]

• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

Schellenberger Costa M et al. (2016). A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation. PLoS computational biology. 12 [PubMed]

• Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016) [Model]
• Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016) [Model]