Fardet T, Levina A. (2020). Simple Models Including Energy and Spike Constraints Reproduce Complex Activity Patterns and Metabolic Disruptions PLoS computational biology. 16 [PubMed]

• eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020) [Model]

Ju H, Hines ML, Yu Y. (2016). Cable energy function of cortical axons. Scientific reports. 6 [PubMed]

Kato A, Morita K. (2016). Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation. PLoS computational biology. 12 [PubMed]

• Reinforcement Learning with Forgetting: Linking Sustained Dopamine to Motivation (Kato Morita 2016) [Model]

Le Masson G, Przedborski S, Abbott LF. (2014). A computational model of motor neuron degeneration. Neuron. 83 [PubMed]

Morita K, Kato A. (2014). Striatal dopamine ramping may indicate flexible reinforcement learning with forgetting in the cortico-basal ganglia circuits. Frontiers in neural circuits. 8 [PubMed]

• Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014) [Model]

Muddapu VR, Mandali A, Chakravarthy VS, Ramaswamy S. (2019). A Computational Model of Loss of Dopaminergic Cells in Parkinson's Disease Due to Glutamate-Induced Excitotoxicity. Frontiers in neural circuits. 13 [PubMed]

• Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019) [Model]