Anderson WS, Azhar F, Kudela P, Bergey GK, Franaszczuk PJ. (2012). Epileptic seizures from abnormal networks: why some seizures defy predictability. Epilepsy research. 99 [PubMed]

• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Anderson WS, Kudela P, Weinberg S, Bergey GK, Franaszczuk PJ. (2009). Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation. Epilepsy research. 84 [PubMed]

• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Camuñas-Mesa LA, Quiroga RQ. (2013). A detailed and fast model of extracellular recordings. Neural computation. 25 [PubMed]

• A detailed and fast model of extracellular recordings (Camunas-Mesa & Qurioga 2013) [Model]

Cserpán D et al. (2017). Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings. eLife. 6 [PubMed]

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]

Fellous JM, Rudolph M, Destexhe A, Sejnowski TJ. (2003). Synaptic background noise controls the input/output characteristics of single cells in an in vitro model of in vivo activity. Neuroscience. 122 [PubMed]

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]

López-Jury L, Meza RC, Brown MTC, Henny P, Canavier CC. (2018). Morphological and Biophysical Determinants of the Intracellular and Extracellular Waveforms in Nigral Dopaminergic Neurons: A Computational Study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 38 [PubMed]

• Determinants of the intracellular and extracellular waveforms in DA neurons (Lopez-Jury et al 2018) [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]

Mondragón-González SL, Burguière E. (2017). Bio-inspired benchmark generator for extracellular multi-unit recordings. Scientific reports. 7 [PubMed]

Neymotin SA, Lytton WW, Olypher AV, Fenton AA. (2011). Measuring the quality of neuronal identification in ensemble recordings. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• Measuring neuronal identification quality in ensemble recordings (isoitools) (Neymotin et al. 2011) [Model]

Telenczuk M, Fontaine B, Brette R. (2017). The basis of sharp spike onset in standard biophysical models. PloS one. 12 [PubMed]

• The basis of sharp spike onset in standard biophysical models (Telenczuk et al 2017) [Model]

Teleńczuk M, Brette R, Destexhe A, Teleńczuk B. (2018). Contribution of the Axon Initial Segment to Action Potentials Recorded Extracellularly. eNeuro. 5 [PubMed]

• Contribution of the axon initial segment to APs recorded extracellularly (Telenczuk et al 2018) [Model]

Wang K, Riera J, Enjieu-Kadji H, Kawashima R. (2013). The role of extracellular conductivity profiles in compartmental models for neurons: particulars for layer 5 pyramidal cells. Neural computation. 25 [PubMed]

• Modeling conductivity profiles in the deep neocortical pyramidal neuron (Wang K et al. 2013) [Model]