Ahmed B, Anderson JC, Douglas RJ, Martin KA, Whitteridge D. (1998). Estimates of the net excitatory currents evoked by visual stimulation of identified neurons in cat visual cortex. Cerebral cortex (New York, N.Y. : 1991). 8 [PubMed]

Azouz R, Gray CM. (2000). Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo. Proceedings of the National Academy of Sciences of the United States of America. 97 [PubMed]

Azouz R, Gray CM. (2008). Stimulus-selective spiking is driven by the relative timing of synchronous excitation and disinhibition in cat striate neurons in vivo. The European journal of neuroscience. 28 [PubMed]

Barkai E, Hasselmo ME. (1994). Modulation of the input/output function of rat piriform cortex pyramidal cells. Journal of neurophysiology. 72 [PubMed]

Bartos M, Vida I, Frotscher M, Geiger JR, Jonas P. (2001). Rapid signaling at inhibitory synapses in a dentate gyrus interneuron network. The Journal of neuroscience : the official journal of the Society for Neuroscience. 21 [PubMed]

• Dentate Basket Cell: spatial summation of inhibitory synaptic inputs (Bartos et al 2001) [Model]

Bittner SR et al. (2017). Population activity structure of excitatory and inhibitory neurons. PloS one. 12 [PubMed]

• Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) [Model]

Brunel N, Hansel D. (2006). How noise affects the synchronization properties of recurrent networks of inhibitory neurons. Neural computation. 18 [PubMed]

Brunel N, Wang XJ. (2001). Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. Journal of computational neuroscience. 11 [PubMed]

Buonomano DV. (2000). Decoding temporal information: A model based on short-term synaptic plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

Bush PC, Prince DA, Miller KD. (1999). Increased pyramidal excitability and NMDA conductance can explain posttraumatic epileptogenesis without disinhibition: a model. Journal of neurophysiology. 82 [PubMed]

• Cortical network model of posttraumatic epileptogenesis (Bush et al 1999) [Model]

Bush PC, Sejnowski TJ. (1993). Reduced compartmental models of neocortical pyramidal cells. Journal of neuroscience methods. 46 [PubMed]

Bush PC, Sejnowski TJ. (1994). Effects of inhibition and dendritic saturation in simulated neocortical pyramidal cells. Journal of neurophysiology. 71 [PubMed]

Contreras D, Destexhe A, Steriade M. (1997). Intracellular and computational characterization of the intracortical inhibitory control of synchronized thalamic inputs in vivo. Journal of neurophysiology. 78 [PubMed]

Doiron B, Laing C, Longtin A, Maler L. (2002). Ghostbursting: a novel neuronal burst mechanism. Journal of computational neuroscience. 12 [PubMed]

Doiron B, Longtin A, Turner RW, Maler L. (2001). Model of gamma frequency burst discharge generated by conditional backpropagation. Journal of neurophysiology. 86 [PubMed]

Edin F, Klingberg T, Stödberg T, Tegnér J. (2007). Fronto-parietal connection asymmetry regulates working memory distractibility. Journal of integrative neuroscience. 6 [PubMed]

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

Feng J, Brown D, Feerick S. (1999). Variability of firing of Hodgkin-Huxley and FitzHugh-Nagumo neurons with stochastic synaptic input. Physical Review Letters. 82

Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK. (2013). Experimentally constrained CA1 fast-firing parvalbumin-positive interneuron network models exhibit sharp transitions into coherent high frequency rhythms. Frontiers in computational neuroscience. 7 [PubMed]

• CA1 PV+ fast-firing hippocampal interneuron (Ferguson et al. 2013) [Model]

Fransén E, Lansner A. (1998). A model of cortical associative memory based on a horizontal network of connected columns. Network (Bristol, England). 9 [PubMed]

French DA, Gruenstein EI. (2006). An integrate-and-fire model for synchronized bursting in a network of cultured cortical neurons. Journal of computational neuroscience. 21 [PubMed]

Fröhlich F, Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. (2006). Slow state transitions of sustained neural oscillations by activity-dependent modulation of intrinsic excitability. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Gabbiani F, Krapp HG. (2006). Spike-frequency adaptation and intrinsic properties of an identified, looming-sensitive neuron. Journal of neurophysiology. 96 [PubMed]

• Leaky integrate-and-fire model of spike frequency adaptation in the LGMD (Gabbiani and Krapp 2006) [Model]

Geiger JR, Lübke J, Roth A, Frotscher M, Jonas P. (1997). Submillisecond AMPA receptor-mediated signaling at a principal neuron-interneuron synapse. Neuron. 18 [PubMed]

• Fast AMPA receptor signaling (Geiger et al 1997) [Model]

Golomb D et al. (2007). Mechanisms of firing patterns in fast-spiking cortical interneurons. PLoS computational biology. 3 [PubMed]

• Fast-spiking cortical interneuron (Golomb et al. 2007) [Model]

Golomb D, Shedmi A, Curtu R, Ermentrout GB. (2006). Persistent synchronized bursting activity in cortical tissues with low magnesium concentration: a modeling study. Journal of neurophysiology. 95 [PubMed]

• Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005) [Model]

Gutkin B, Ermentrout GB, Rudolph M. (2003). Spike generating dynamics and the conditions for spike-time precision in cortical neurons. Journal of computational neuroscience. 15 [PubMed]

Hardingham NR, Hardingham GE, Fox KD, Jack JJ. (2007). Presynaptic efficacy directs normalization of synaptic strength in layer 2/3 rat neocortex after paired activity. Journal of neurophysiology. 97 [PubMed]

Helmstaedter M, Sakmann B, Feldmeyer D. (2009). The relation between dendritic geometry, electrical excitability, and axonal projections of L2/3 interneurons in rat barrel cortex. Cerebral cortex (New York, N.Y. : 1991). 19 [PubMed]

• Axonal Projection and Interneuron Types (Helmstaedter et al. 2008) [Model]

Hoshino O. (2007). Enhanced sound perception by widespread-onset neuronal responses in auditory cortex. Neural computation. 19 [PubMed]

Hoshino O, Zheng M, Watanabe K. (2018). Perceptual judgments via sensory-motor interaction assisted by cortical GABA. Journal of computational neuroscience. 44 [PubMed]

• Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018) [Model]

Jackson ME, Cauller LJ. (1997). Evaluation of simplified compartmental models of reconstructed neocortical neurons for use in large-scale simulations of biological neural networks. Brain research bulletin. 44 [PubMed]

Jercog D et al. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6 [PubMed]

• Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017) [Model]

Jolivet R, Gerstner W. (2004). Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. Journal of physiology, Paris. 98 [PubMed]

Jolivet R et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Jolivet R, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Kager H, Wadman WJ, Somjen GG. (2007). Seizure-like afterdischarges simulated in a model neuron. Journal of computational neuroscience. 22 [PubMed]

Kim HG, Connors BW. (1993). Apical dendrites of the neocortex: correlation between sodium- and calcium-dependent spiking and pyramidal cell morphology. The Journal of neuroscience : the official journal of the Society for Neuroscience. 13 [PubMed]

Kobayashi R, Tsubo Y, Shinomoto S. (2009). Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in computational neuroscience. 3 [PubMed]

• Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON) [Model]
• Multi-timescale adaptive threshold model (Kobayashi et al 2009) [Model]

Kumar A, Schrader S, Aertsen A, Rotter S. (2008). The high-conductance state of cortical networks. Neural computation. 20 [PubMed]

Kömek K, Bard Ermentrout G, Walker CP, Cho RY. (2012). Dopamine and gamma band synchrony in schizophrenia--insights from computational and empirical studies. The European journal of neuroscience. 36 [PubMed]

• Modeling the effects of dopamine on network synchronization (Komek et al. 2012) [Model]

Köndgen H et al. (2008). The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral cortex (New York, N.Y. : 1991). 18 [PubMed]

• Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008) [Model]

La Camera G, Rauch A, Lüscher HR, Senn W, Fusi S. (2004). Minimal models of adapted neuronal response to in vivo-like input currents. Neural computation. 16 [PubMed]

Latham PE, Nirenberg S. (2004). Computing and stability in cortical networks. Neural computation. 16 [PubMed]

Lim S, Goldman MS. (2013). Balanced cortical microcircuitry for maintaining information in working memory. Nature neuroscience. 16 [PubMed]

• Model of working memory based on negative derivative feedback (Lim and Goldman, 2013) [Model]

Lim S, Goldman MS. (2014). Balanced cortical microcircuitry for spatial working memory based on corrective feedback control. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Linaro D, Couto J, Giugliano M. (2014). Command-line cellular electrophysiology for conventional and real-time closed-loop experiments. Journal of neuroscience methods. 230 [PubMed]

• Phase response curves firing rate dependency of rat purkinje neurons in vitro (Couto et al 2015) [Model]

Liu YH, Wang XJ. (2001). Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron. Journal of computational neuroscience. 10 [PubMed]

Lytton WW, Sejnowski TJ. (1991). Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons. Journal of neurophysiology. 66 [PubMed]

Macoveanu J, Klingberg T, Tegnér J. (2006). A biophysical model of multiple-item working memory: a computational and neuroimaging study. Neuroscience. 141 [PubMed]

Maex R, Vos BP, De Schutter E. (2000). Weak common parallel fibre synapses explain the loose synchrony observed between rat cerebellar golgi cells. The Journal of physiology. 523 Pt 1 [PubMed]

Mainen ZF, Sejnowski TJ. (1996). Influence of dendritic structure on firing pattern in model neocortical neurons. Nature. 382 [PubMed]

• Influence of dendritic structure on neocortical neuron firing patterns (Mainen and Sejnowski 1996) [Model]

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

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

Mazza M, de Pinho M, Piqueira JR, Roque AC. (2004). A dynamical model of fast cortical reorganization. Journal of computational neuroscience. 16 [PubMed]

Mosher CP et al. (2020). Cellular Classes in the Human Brain Revealed In Vivo by Heartbeat-Related Modulation of the Extracellular Action Potential Waveform. Cell reports. 30 [PubMed]

• Cellular classes revealed by heartbeat-related modulation of extracellular APs (Mosher et al 2020) [Model]

Muller E, Buesing L, Schemmel J, Meier K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural computation. 19 [PubMed]

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

Paré D, Lang EJ, Destexhe A. (1998). Inhibitory control of somatodendritic interactions underlying action potentials in neocortical pyramidal neurons in vivo: an intracellular and computational study. Neuroscience. 84 [PubMed]

Pospischil M et al. (2008). Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biological cybernetics. 99 [PubMed]

• Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008) [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]

Pugh MC, Ringach DL, Shapley R, Shelley MJ. (2000). Computational modeling of orientation tuning dynamics in monkey primary visual cortex. Journal of computational neuroscience. 8 [PubMed]

Rhodes P. (2006). The properties and implications of NMDA spikes in neocortical pyramidal cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Rhodes PA, Llinás RR. (2001). Apical tuft input efficacy in layer 5 pyramidal cells from rat visual cortex. The Journal of physiology. 536 [PubMed]

Rulkov NF, Timofeev I, Bazhenov M. (2004). Oscillations in large-scale cortical networks: map-based model. Journal of computational neuroscience. 17 [PubMed]

• Large cortex model with map-based neurons (Rulkov et al 2004) [Model]

Schmidt M et al. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS computational biology. 14 [PubMed]

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

Shu Y, Duque A, Yu Y, Haider B, McCormick DA. (2007). Properties of action-potential initiation in neocortical pyramidal cells: evidence from whole cell axon recordings. Journal of neurophysiology. 97 [PubMed]

• Intracortical synaptic potential modulation by presynaptic somatic potential (Shu et al. 2006, 2007) [Model]

Sripati AP, Johnson KO. (2006). Dynamic gain changes during attentional modulation. Neural computation. 18 [PubMed]

Sudhakar SK, Choi TJ, Ahmed OJ. (2019). Biophysical Modeling Suggests Optimal Drug Combinations for Improving the Efficacy of GABA Agonists after Traumatic Brain Injuries. Journal of neurotrauma. 36 [PubMed]

• Biophysical modeling of pathological brain states (Sudhakar et al 2019) [Model]

Tabas A et al. (2019). Modeling and MEG evidence of early consonance processing in auditory cortex. PLoS computational biology. 15 [PubMed]

• Modeling and MEG evidence of early consonance processing in auditory cortex (Tabas et al 2019) [Model]

Talathi SS, Hwang DU, Ditto WL. (2008). Spike timing dependent plasticity promotes synchrony of inhibitory networks in the presence of heterogeneity. Journal of computational neuroscience. 25 [PubMed]

• STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008) [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]

Tiesinga PH, Fellous JM, José JV, Sejnowski TJ. (2002). Information transfer in entrained cortical neurons. Network (Bristol, England). 13 [PubMed]

Tiesinga PH, Sejnowski TJ. (2004). Rapid temporal modulation of synchrony by competition in cortical interneuron networks. Neural computation. 16 [PubMed]

Tomov P, Pena RF, Roque AC, Zaks MA. (2016). Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types. Frontiers in computational neuroscience. 10 [PubMed]

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

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]

Wang XJ, Buzsáki G. (1996). Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 16 [PubMed]

• Gamma oscillations in hippocampal interneuron networks (Wang, Buzsaki 1996) [Model]

Zemel BM et al. (2021). Resurgent Na+ currents promote ultrafast spiking in projection neurons that drive fine motor control Nature communications. 12 [PubMed]

• Resurgent sodium transient current in zebra finch RA (Zemel et al., 2021) [Model]

Zerlaut Y, Chemla S, Chavane F, Destexhe A. (2018). Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Journal of computational neuroscience. 44 [PubMed]

• Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) [Model]
• Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN) [Model]

van der Velden L, van Hooft JA, Chameau P. (2012). Altered dendritic complexity affects firing properties of cortical layer 2/3 pyramidal neurons in mice lacking the 5-HT3A receptor. Journal of neurophysiology. 108 [PubMed]

• Altered complexity in layer 2/3 pyramidal neurons (Luuk van der Velden et al. 2012) [Model]