Azhar F, Anderson WS. (2012). Predicting single-neuron activity in locally connected networks. Neural computation. 24 [PubMed]

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

Goldwyn JH, Rubinstein JT, Shea-Brown E. (2012). A point process framework for modeling electrical stimulation of the auditory nerve. Journal of neurophysiology. 108 [PubMed]

• Point process framework for modeling electrical stimulation of auditory nerve (Goldwyn et al. 2012) [Model]

Hong S, Agüera y Arcas B, Fairhall AL. (2007). Single neuron computation: from dynamical system to feature detector. Neural computation. 19 [PubMed]

Huang C, Zeldenrust F, Celikel T. (2022). Cortical Representation of Touch in Silico Neuroinformatics. 20 [PubMed]

• Realistic barrel cortical column - Matlab (Huang et al., 2022) [Model]
• Realistic barrel cortical column - NetPyNE (Huang et al., 2022) [Model]

McFarland JM, Cui Y, Butts DA. (2013). Inferring nonlinear neuronal computation based on physiologically plausible inputs. PLoS computational biology. 9 [PubMed]

• Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013) [Model]

Medlock L et al. (2024). Encoding of vibrotactile stimuli by mechanoreceptors in rodent glabrous skin. The Journal of neuroscience : the official journal of the Society for Neuroscience. [PubMed]

• A model of rodent mechanoreceptors (LTMRs) (Medlock et al., 2024) [Model]

Truccolo W, Donoghue JP. (2007). Nonparametric modeling of neural point processes via stochastic gradient boosting regression. Neural computation. 19 [PubMed]