Goodman DF, Brette R. (2009). The brian simulator. Frontiers in neuroscience. 3 [PubMed]

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References and models cited by this paper
References and models that cite this paper

Beim Graben P, Rodrigues S. (2012). A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons. Frontiers in computational neuroscience. 6 [PubMed]

Bernard C, Jirsa VK, Woodman MM, Melozzi F. (2017). The Virtual Mouse Brain: A Computational Neuroinformatics Platform to Study Whole Mouse Brain Dynamics eNeuro.

Brette R. (2013). Sharpness of spike initiation in neurons explained by compartmentalization. PLoS computational biology. 9 [PubMed]

Brette R, Goodman DF. (2011). Vectorized algorithms for spiking neural network simulation. Neural computation. 23 [PubMed]

Cattani A, Solinas S, Canuto C. (2016). A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer. Frontiers in computational neuroscience. 10 [PubMed]

Chavlis S, Petrantonakis PC, Poirazi P. (2017). Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity. Hippocampus. 27 [PubMed]

Danielson NB et al. (2017). In Vivo Imaging of Dentate Gyrus Mossy Cells in Behaving Mice. Neuron. 93 [PubMed]

David F, Courtiol E, Buonviso N, Fourcaud-Trocmé N. (2015). Competing Mechanisms of Gamma and Beta Oscillations in the Olfactory Bulb Based on Multimodal Inhibition of Mitral Cells Over a Respiratory Cycle. eNeuro. 2 [PubMed]

Evans BD, Jarvis S, Schultz SR, Nikolic K. (2016). PyRhO: A Multiscale Optogenetics Simulation Platform. Frontiers in neuroinformatics. 10 [PubMed]

Fardet T, Levina A. (2020). Simple Models Including Energy and Spike Constraints Reproduce Complex Activity Patterns and Metabolic Disruptions PLoS computational biology. 16 [PubMed]

Ferguson KA et al. (2015). Network models provide insights into how oriens-lacunosum-moleculare and bistratified cell interactions influence the power of local hippocampal CA1 theta oscillations. Frontiers in systems neuroscience. 9 [PubMed]

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]

Ferguson KA, Njap F, Nicola W, Skinner FK, Campbell SA. (2015). Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus. Journal of computational neuroscience. 39 [PubMed]

Fountas Z, Shanahan M. (2017). The role of cortical oscillations in a spiking neural network model of the basal ganglia. PloS one. 12 [PubMed]

Friedrich P, Vella M, Gulyás AI, Freund TF, Káli S. (2014). A flexible, interactive software tool for fitting the parameters of neuronal models. Frontiers in neuroinformatics. 8 [PubMed]

Goodman DF, Brette R. (2010). Spike-timing-based computation in sound localization. PLoS computational biology. 6 [PubMed]

Goodman DFM, Brette R. (2013). Brian simulator Scholarpedia. 8(1)

Khalil R, Moftah MZ, Moustafa AA. (2017). The effects of dynamical synapses on firing rate activity: a spiking neural network model. The European journal of neuroscience. 46 [PubMed]

Kim J, Leahy W, Shlizerman E. (2019). Neural Interactome: Interactive Simulation of a Neuronal System. Frontiers in computational neuroscience. 13 [PubMed]

Kremer Y, Léger JF, Goodman D, Brette R, Bourdieu L. (2011). Late emergence of the vibrissa direction selectivity map in the rat barrel cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Lytton WW et al. (2016). Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural computation. 28 [PubMed]

Magalhães BRC, Sterling T, Hines M, Schürmann F. (2019). Asynchronous Branch-Parallel Simulation of Detailed Neuron Models. Frontiers in neuroinformatics. 13 [PubMed]

Martínez-Cañada P, Morillas C, Pino B, Ros E, Pelayo F. (2016). A Computational Framework for Realistic Retina Modeling. International journal of neural systems. 26 [PubMed]

Muller L, Brette R, Gutkin B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in computational neuroscience. 5 [PubMed]

Ramirez-Mahaluf JP, Roxin A, Mayberg HS, Compte A. (2017). A Computational Model of Major Depression: the Role of Glutamate Dysfunction on Cingulo-Frontal Network Dynamics. Cerebral cortex (New York, N.Y. : 1991). 27 [PubMed]

Richert M, Nageswaran JM, Dutt N, Krichmar JL. (2011). An efficient simulation environment for modeling large-scale cortical processing. Frontiers in neuroinformatics. 5 [PubMed]

Richmond P, Buesing L, Giugliano M, Vasilaki E. (2011). Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations. PloS one. 6 [PubMed]

Rossant C, Leijon S, Magnusson AK, Brette R. (2011). Sensitivity of noisy neurons to coincident inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Rothman JS, Silver RA. (2018). NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data. Frontiers in neuroinformatics. 12 [PubMed]

Sherfey JS et al. (2018). DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation. Frontiers in neuroinformatics. 12 [PubMed]

Shimoura RO et al. (2018). [Re] The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model The ReScience Journal. 4(1)

Tan AY, Andoni S, Priebe NJ. (2013). A spontaneous state of weakly correlated synaptic excitation and inhibition in visual cortex. Neuroscience. 247 [PubMed]

Tikidji-Hamburyan RA, El-Ghazawi TA, Narayana V, Bozkus Z. (2017). Software for Brain Network Simulations: A Comparative Study Front. Neuroinform..

Van Pottelbergh T, Drion G, Sepulchre R. (2018). Robust Modulation of Integrate-and-Fire Models. Neural computation. 30 [PubMed]

Wimmer K et al. (2015). Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature communications. 6 [PubMed]

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]

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