Bingham CS et al. (2020). ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling Frontiers in Computational Neuroscience. 14

• ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons (Bingham et al 2020) [Model]

Diwakar S, Lombardo P, Solinas S, Naldi G, D'Angelo E. (2011). Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD control. PloS one. 6 [PubMed]

• Reconstructing cerebellar granule layer evoked LFP using convolution (ReConv) (Diwakar et al. 2011) [Model]

Gold C, Henze DA, Koch C. (2007). Using extracellular action potential recordings to constrain compartmental models. Journal of computational neuroscience. 23 [PubMed]

• Extracellular Action Potential Simulations (Gold et al 2007) [Model]

Gold C, Henze DA, Koch C, Buzsáki G. (2006). On the origin of the extracellular action potential waveform: A modeling study. Journal of neurophysiology. 95 [PubMed]

• Extracellular Action Potential Simulations (Gold et al 2007) [Model]

Mechler F, Victor JD. (2012). Dipole characterization of single neurons from their extracellular action potentials. Journal of computational neuroscience. 32 [PubMed]

• Dipole Localization Kit (Mechler & Victor, 2012) [Model]

Tsai D et al. (2012). Responses of retinal ganglion cells to extracellular electrical stimulation, from single cell to population: model-based analysis. PloS one. 7 [PubMed]

• Retinal ganglion cells responses and activity (Tsai et al 2012, Guo et al 2016) [Model]