Anderson WD, Makadia HK, Vadigepalli R. (2016). Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes. Journal of computational neuroscience. 40 [PubMed]

• Cell signaling/ion channel variability effects on neuronal response (Anderson, Makadia, et al. 2015) [Model]

Balachandar A, Prescott SA. (2018). Origin of heterogeneous spiking patterns from continuously distributed ion channel densities: a computational study in spinal dorsal horn neurons. The Journal of physiology. 596 [PubMed]

• Origin of heterogeneous spiking patterns in spinal dorsal horn neurons (Balachandar & Prescott 2018) [Model]

Carlu M et al. (2020). A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models. Journal of neurophysiology. 123 [PubMed]

• Mean field model for Hodgkin Huxley networks of neurons (Carlu et al 2020) [Model]

Günay C, Doloc-Mihu A, Lamb DG, Calabrese RL. (2019). Synaptic Strengths Dominate Phasing of Motor Circuit: Intrinsic Conductances of Neuron Types Need Not Vary across Animals. eNeuro. 6 [PubMed]

• Synaptic strengths are critical in creating the proper output phasing in a CPG (Gunay et al 2019) [Model]

Lamb DG, Calabrese RL. (2013). Correlated conductance parameters in leech heart motor neurons contribute to motor pattern formation. PloS one. 8 [PubMed]

• Leech Heart (HE) Motor Neuron conductances contributions to NN activity (Lamb & Calabrese 2013) [Model]

Yang J, Shakil H, Ratté S, Prescott SA. (2022). Minimal requirements for a neuron to co-regulate many properties and the implications for ion channel correlations and robustness eLife. 11 [PubMed]

• A modified Morris-Lecar model with gM and gAHP (Yang et al., 2022) [Model]