Bezaire MJ, Raikov I, Burk K, Vyas D, Soltesz I. (2016). Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit. eLife. 5 [PubMed]

• Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016) [Model]

Buchin A, Chizhov A, Huberfeld G, Miles R, Gutkin BS. (2016). Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

• Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016) [Model]

Bush D, Burgess N. (2020). Advantages and detection of phase coding in the absence of rhythmicity. Hippocampus. 30 [PubMed]

• Decoding movement trajectory from simulated grid cell population activity (Bush & Burgess 2019) [Model]

Canakci S, Toy MF, Inci AF, Liu X, Kuzum D. (2017). Computational analysis of network activity and spatial reach of sharp wave-ripples. PloS one. 12 [PubMed]

• Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017) [Model]

Cavallari S, Panzeri S, Mazzoni A. (2014). Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Frontiers in neural circuits. 8 [PubMed]

• I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) [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]

Cutsuridis V, Poirazi P. (2015). A computational study on how theta modulated inhibition can account for the long temporal windows in the entorhinal-hippocampal loop. Neurobiology of learning and memory. 120 [PubMed]

• Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015) [Model]

Einevoll GT, Ness TV, Miceli S. (2017). Impedance Spectrum in Cortical Tissue: Implications for Propagation of LFP Signals on the Microscopic Level Eneuro. 4

• Impedance spectrum in cortical tissue: implications for LFP signal propagation (Miceli et al. 2017) [Model]

Goldwyn JH, Rinzel J. (2016). Neuronal coupling by endogenous electric fields: cable theory and applications to coincidence detector neurons in the auditory brain stem. Journal of neurophysiology. 115 [PubMed]

• Ephaptic coupling in passive cable and MSO neuron models (Goldwyn & Rinzel 2016) [Model]

Głąbska H, Chintaluri C, Wójcik DK. (2017). Collection of Simulated Data from a Thalamocortical Network Model. Neuroinformatics. 15 [PubMed]

• Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017) [Model]

Hagen E et al. (2017). Focal Local Field Potential Signature of the Single-Axon Monosynaptic Thalamocortical Connection. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

• LFP signature of monosynaptic thalamocortical connection (Hagen et al 2017) [Model]

Halnes G et al. (2016). Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue. PLoS computational biology. 12 [PubMed]

• Effect of ionic diffusion on extracellular potentials (Halnes et al 2016) [Model]

Malerba P, Krishnan GP, Fellous JM, Bazhenov M. (2016). Hippocampal CA1 Ripples as Inhibitory Transients. PLoS computational biology. 12 [PubMed]

• CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016) [Model]

McColgan T et al. (2017). Dipolar extracellular potentials generated by axonal projections. eLife. 6 [PubMed]

• Dipolar extracellular potentials generated by axonal projections (McColgan et al 2017) [Model]

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]

Mäki-Marttunen T et al. (2016). Functional Effects of Schizophrenia-Linked Genetic Variants on Intrinsic Single-Neuron Excitability: A Modeling Study. Biological psychiatry. Cognitive neuroscience and neuroimaging. 1 [PubMed]

• Schiz.-linked gene effects on intrinsic single-neuron excitability (Maki-Marttunen et al. 2016) [Model]

Ness TV, Remme MW, Einevoll GT. (2016). Active subthreshold dendritic conductances shape the local field potential. The Journal of physiology. 594 [PubMed]

Parasuram H et al. (2016). Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim. Frontiers in computational neuroscience. 10 [PubMed]

• Modeling single neuron LFPs and extracellular potentials with LFPsim (Parasuram et al. 2016) [Model]

Pousinha PA et al. (2019). The Amyloid Precursor Protein C-Terminal Domain Alters CA1 Neuron Firing, Modifying Hippocampus Oscillations and Impairing Spatial Memory Encoding. Cell reports. 29 [PubMed]

• The APP in C-terminal domain alters CA1 neuron firing (Pousinha et al 2019) [Model]

Quax S, Jensen O, Tiesinga P. (2017). Top-down control of cortical gamma-band communication via pulvinar induced phase shifts in the alpha rhythm. PLoS computational biology. 13 [PubMed]

Ruijter BJ, Hofmeijer J, Meijer HGE, van Putten MJAM. (2017). Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy: A computational study. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 128 [PubMed]

• Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy (Ruijter et al 2017) [Model]

Schellenberger Costa M et al. (2016). A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation. PLoS computational biology. 12 [PubMed]

• Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016) [Model]
• Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016) [Model]

Sætra MJ, Einevoll GT, Halnes G. (2021). An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain PLoS computational biology. 17 [PubMed]

• The electrodiffusive neuron-extracellular-glia (edNEG) model (Sætra et al. 2021) [Model]

Tanaka T, Nakamura KC. (2019). Focal inputs are a potential origin of local field potential (LFP) in the brain regions without laminar structure. PloS one. 14 [PubMed]

• LFP in striatum (Tanaka & Nakamura 2019) [Model]

Tchumatchenko T, Clopath C. (2014). Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance. Nature communications. 5 [PubMed]

• Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014) [Model]

Weigenand A, Schellenberger Costa M, Ngo HV, Claussen JC, Martinetz T. (2014). Characterization of K-complexes and slow wave activity in a neural mass model. PLoS computational biology. 10 [PubMed]

• Neural mass model of the sleeping cortex (Weigenand et al 2014) [Model]
• Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016) [Model]
• Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016) [Model]
• Neural mass model of the neocortex under sleep regulation (Costa et al 2016) [Model]