Arsiero M, Lüscher HR, Lundstrom BN, Giugliano M. (2007). The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

• Input Fluctuations effects on f-I curves (Arsiero et al. 2007) [Model]

Barak O, Tsodyks M. (2007). Persistent activity in neural networks with dynamic synapses. PLoS computational biology. 3 [PubMed]

Blum Moyse L, Berry H. (2022). Modelling the modulation of cortical Up-Down state switching by astrocytes PLoS computational biology. 18 [PubMed]

• Modulation of cortical Up-Down state switching by astrocytes (Moyse & Berry, 2022) [Model]

Ermentrout GB, Terman DH. (2010). Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics. 35

• Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]

Hayut I, Fanselow EE, Connors BW, Golomb D. (2011). LTS and FS inhibitory interneurons, short-term synaptic plasticity, and cortical circuit dynamics. PLoS computational biology. 7 [PubMed]

• Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011) [Model]

Huang CH, Huang YT, Chen CC, Chan CK. (2017). Propagation and synchronization of reverberatory bursts in developing cultured networks. Journal of computational neuroscience. 42 [PubMed]

• Reverberatory bursts propagation and synchronization in developing cultured NNs (Huang et al 2016) [Model]

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]

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]

Tabak J, Mascagni M, Bertram R. (2010). Mechanism for the universal pattern of activity in developing neuronal networks. Journal of neurophysiology. 103 [PubMed]

• Universal feature of developing networks (Tabak et al 2010) [Model]
• Universal feature of developing networks (Tabak et al 2010) (CellML) [Model]

Testa-Silva G et al. (2012). Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autism. Cerebral cortex (New York, N.Y. : 1991). 22 [PubMed]

• Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011) [Model]

Tomov P, Pena RF, Roque AC, Zaks MA. (2016). Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types. Frontiers in computational neuroscience. 10 [PubMed]

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

Weigenand A, Schellenberger Costa M, Ngo HV, Claussen JC, Martinetz T. (2014). Characterization of K-complexes and slow wave activity in a neural mass model. PLoS computational biology. 10 [PubMed]

• Neural mass model of the sleeping cortex (Weigenand et al 2014) [Model]
• 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]
• Neural mass model of the neocortex under sleep regulation (Costa et al 2016) [Model]