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• Sequence learning via biophysically realistic learning rules (Cone and Shouval 2021) [Model]

Gütig R, Sompolinsky H. (2009). Time-warp-invariant neuronal processing. PLoS biology. 7 [PubMed]

• Time-warp-invariant neuronal processing (Gutig & Sompolinsky 2009) [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]

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• Linking dynamics of the inhibitory network to the input structure (Komarov & Bazhenov 2016) [Model]

Krasne FB, Fanselow MS, Zelikowsky M. (2011). Design of a neurally plausible model of fear learning. Frontiers in behavioral neuroscience. 5 [PubMed]

• FRAT: An amygdala-centered model of fear conditioning (Krasne et al. 2011) [Model]

Malerba P, Krishnan GP, Fellous JM, Bazhenov M. (2016). Hippocampal CA1 Ripples as Inhibitory Transients. PLoS computational biology. 12 [PubMed]

• CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016) [Model]

Scorcioni R, Hamilton DJ, Ascoli GA. (2008). Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit. Neural networks : the official journal of the International Neural Network Society. 21 [PubMed]

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]