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, Cho J, Bergey GK, Franaszczuk PJ. (2007). Studies of stimulus parameters for seizure disruption using neural network simulations. Biological cybernetics. 97 [PubMed]

• Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007) [Model]
• 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]

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]

Bauer R, Clowry GJ, Kaiser M. (2021). Creative destruction: a basic computational model of cortical layer formation Cerebral cortex (New York, N.Y. : 1991). 31 [PubMed]

• An agent-based computational model for cortical layer formation (Bauer et al 2021) [Model]

Chadderdon GL et al. (2014). Motor cortex microcircuit simulation based on brain activity mapping. Neural computation. 26 [PubMed]

• Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014) [Model]

Edin F, Macoveanu J, Olesen P, Tegnér J, Klingberg T. (2007). Stronger synaptic connectivity as a mechanism behind development of working memory-related brain activity during childhood. Journal of cognitive neuroscience. 19 [PubMed]

• Fronto-parietal visuospatial WM model with HH cells (Edin et al 2007) [Model]

Fiebig F, Lansner A. (2017). A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

Galloni AR, Laffere A, Rancz E. (2020). Apical length governs computational diversity of layer 5 pyramidal neurons. eLife. 9 [PubMed]

• Apical Length Governs Computational Diversity of Layer 5 Pyramidal Neurons (Galloni et al 2020) [Model]

Gleeson P, Steuber V, Silver RA. (2007). neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron. 54 [PubMed]

Haeusler S, Maass W. (2007). A statistical analysis of information-processing properties of lamina-specific cortical microcircuit models. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

• Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006) [Model]

Hay E, Segev I. (2015). Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits. Cerebral cortex (New York, N.Y. : 1991). 25 [PubMed]

• Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015) [Model]
• Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018) [Model]

Heinzle J, Hepp K, Martin KA. (2007). A microcircuit model of the frontal eye fields. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

• A microcircuit model of the frontal eye fields (Heinzle et al. 2007) [Model]

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]

Jones SR et al. (2009). Quantitative analysis and biophysically realistic neural modeling of the MEG mu rhythm: rhythmogenesis and modulation of sensory-evoked responses. Journal of neurophysiology. 102 [PubMed]

• Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009) [Model]

Jones SR, Pritchett DL, Stufflebeam SM, Hämäläinen M, Moore CI. (2007). Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

• MEG of Somatosensory Neocortex (Jones et al. 2007) [Model]

Keane A, Henderson JA, Gong P. (2018). Dynamical patterns underlying response properties of cortical circuits. Journal of the Royal Society, Interface. 15 [PubMed]

• Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018) [Model]

Koene RA et al. (2009). NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies. Neuroinformatics. 7 [PubMed]

• NETMORPH: creates NNs with realistic neuron morphologies (Koene et al. 2009, van Ooyen et al. 2014) [Model]

Lundqvist M, Rehn M, Djurfeldt M, Lansner A. (2006). Attractor dynamics in a modular network model of neocortex. Network (Bristol, England). 17 [PubMed]

Markram H et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163 [PubMed]

• The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

Moldakarimov S, Rollenhagen JE, Olson CR, Chow CC. (2005). Competitive dynamics in cortical responses to visual stimuli. Journal of neurophysiology. 94 [PubMed]

Muresan RC, Savin C. (2007). Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits. Journal of neurophysiology. 97 [PubMed]

Nandy AS, Nassi JJ, Reynolds JH. (2017). Laminar Organization of Attentional Modulation in Macaque Visual Area V4. Neuron. 93 [PubMed]

Neymotin SA, Lee H, Park E, Fenton AA, Lytton WW. (2011). Emergence of physiological oscillation frequencies in a computer model of neocortex. Frontiers in computational neuroscience. 5 [PubMed]

• Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011) [Model]

Peron SP, Krapp HG, Gabbiani F. (2007). Influence of electrotonic structure and synaptic mapping on the receptive field properties of a collision-detecting neuron. Journal of neurophysiology. 97 [PubMed]

Potjans TC, Diesmann M. (2014). The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

• A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) [Model]

Puccini GD, Sanchez-Vives MV, Compte A. (2006). Selective detection of abrupt input changes by integration of spike-frequency adaptation and synaptic depression in a computational network model. Journal of physiology, Paris. 100 [PubMed]

Renart A, Moreno-Bote R, Wang XJ, Parga N. (2007). Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural computation. 19 [PubMed]

Reneaux M, Gupta R. (2018). Prefronto-cortical dopamine D1 receptor sensitivity can critically influence working memory maintenance during delayed response tasks PLOS ONE. 13(5)

• Effect of cortical D1 receptor sensitivity on working memory maintenance (Reneaux & Gupta 2018) [Model]

Schmidt M, Bakker R, Hilgetag CC, Diesmann M, van Albada SJ. (2018). Multi-scale account of the network structure of macaque visual cortex. Brain structure & function. 223 [PubMed]

• Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex [Model]

Sotero RC, Trujillo-Barreto NJ, Iturria-Medina Y, Carbonell F, Jimenez JC. (2007). Realistically coupled neural mass models can generate EEG rhythms. Neural computation. 19 [PubMed]

Tomov P, Pena RF, Zaks MA, Roque AC. (2014). Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in computational neuroscience. 8 [PubMed]

• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

Tomsett RJ et al. (2015). Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain structure & function. 220 [PubMed]

• Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014) [Model]

Weiler N, Wood L, Yu J, Solla SA, Shepherd GM. (2008). Top-down laminar organization of the excitatory network in motor cortex. Nature neuroscience. 11 [PubMed]

• Laminar connectivity matrix simulation (Weiler et al 2008) [Model]