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Bower JM, Beeman D (1995) The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System.

References and models cited by this paper

References and models that cite this paper

Aradi I, Erdi P (1996) Signal generation and propagation in the olfactory bulb: multicompartmental modeling Computers And Mathematics With Applications 32:1-27

Aradi I, Erdi P (1996) MULTICOMPARTMENTAL MODELING OF THE OLFACTORY BULB Cybernetics and Systems 27:605-615

Aradi I, Holmes WR (1999) Role of multiple calcium and calcium-dependent conductances in regulation of hippocampal dentate granule cell excitability. J Comput Neurosci 6:215-35 [PubMed]

   Dentate gyrus granule cell: calcium and calcium-dependent conductances (Aradi and Holmes 1999) [Model]

Aradi I, Holmes WR (1999) Active dendrites regulate spatio-temporal synaptic integration in hippocampal dentate granule cells Neurocomputing 26:45-51

Banerjee A (2001) On the phase-space dynamics of systems of spiking neurons. I: model and experiments. Neural Comput 13:161-93 [PubMed]

Bhalla US (2011) Multiscale interactions between chemical and electric signaling in LTP induction, LTP reversal and dendritic excitability. Neural Netw 24:943-9 [Journal] [PubMed]

   Multiscale interactions between chemical and electric signaling in LTP (Bhalla 2011) [Model]

Borg-Graham LJ (2000) Additional efficient computation of branched nerve equations: adaptive time step and ideal voltage clamp. J Comput Neurosci 8:209-26 [PubMed]

Cannon RC, Hasselmo ME, Koene RA (2003) From biophysics to behavior: Catacomb2 and the design of biologically-plausible models for spatial navigation. Neuroinformatics 1:3-42 [Journal] [PubMed]

   Biologically-plausible models for spatial navigation (Cannon et al 2003) [Model]

Dahlhaus R, Eichler M, Sandkühler J (1997) Identification of synaptic connections in neural ensembles by graphical models. J Neurosci Methods 77:93-107 [PubMed]

de Pinho M, Roque da Silva AC A realistic computational model of formation and variability of tonotopic maps in the auditory cortex. Neurocomputing 26:355-359

De Schutter E (1998) Dendritic voltage and calcium-gated channels amplify the variability of postsynaptic responses in a Purkinje cell model. J Neurophysiol 80:504-19 [Journal] [PubMed]

   Cerebellar purkinje cell (De Schutter and Bower 1994) [Model]

De Schutter E, Smolen P (1998) Calcium dynamics in large neuronal models Methods In Neuronal Modeling: From Ions To Networks, Koch C:Segev I, ed. pp.211

Erdi P, Aradi I, Gröbler T (1997) Rhythmogenesis in single cells and population models: olfactory bulb and hippocampus. Biosystems 40:45-53 [PubMed]

Ferrante M, Blackwell KT, Migliore M, Ascoli GA (2008) Computational models of neuronal biophysics and the characterization of potential neuropharmacological targets. Curr Med Chem 15:2456-71 [PubMed]

   Computational neuropharmacology of CA1 pyramidal neuron (Ferrante et al. 2008) [Model]

Fransen E, Wallenstein GV, Alonso AA, Dickson CT, Hasselmo ME (1999) A biophysical simulation of intrinsic and network properties of entorhinal cortex Neurocomputing 26:375-380

Jaeger D (2003) No Parallel Fiber Volleys in the Cerebellar Cortex: Evidence from Cross-Correlation Analysis between Purkinje Cells in a Computer Model and in Recordings from Anesthetized Rats Journal of Computational Neuroscience 14:311-327 [Journal] [PubMed]

Jolivet R, Kobayashi R, Rauch A, Naud R, Shinomoto S, Gerstner W (2008) A benchmark test for a quantitative assessment of simple neuron models. J Neurosci Methods 169:417-24 [Journal] [PubMed]

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

Jolivet R, Lewis TJ, Gerstner W (2004) Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. J Neurophysiol 92:959-76 [Journal] [PubMed]

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

Kilinc D, Demir A (2017) Noise in Neuronal and Electronic Circuits: A General Modeling Framework and Non-Monte Carlo Simulation Techniques. IEEE Trans Biomed Circuits Syst 11:958-974 [Journal] [PubMed]

   A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018) [Model]

Kobayashi R, Tsubo Y, Shinomoto S (2009) Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Front Comput Neurosci 3:9 [Journal] [PubMed]

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

Krichmar JL, Nasuto SJ, Scorcioni R, Washington SD, Ascoli GA (2002) Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain Res 941:11-28 [PubMed]

Krichmar JL, Velasquez D, Ascoli GA (2006) Effects of beta-catenin on dendritic morphology and simulated firing patterns in cultured hippocampal neurons. Biol Bull 211:31-43 [Journal] [PubMed]

Maass W, Natschlager T (1997) Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding Network: Computation In Neural Systems 8:355-372

Maex R, De Schutter E (1998) Synchronization of golgi and granule cell firing in a detailed network model of the cerebellar granule cell layer. J Neurophysiol 80:2521-37 [Journal] [PubMed]

   Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998) [Model]
   Cerebellar granular layer (Maex and De Schutter 1998) [Model]

McDougal RA, Bulanova AS, Lytton WW (2016) Reproducibility in Computational Neuroscience Models and Simulations. IEEE Trans Biomed Eng 63:2021-35 [Journal] [PubMed]

Menschik ED, Finkel LH (1998) Neuromodulatory control of hippocampal function: towards a model of Alzheimer's disease. Artif Intell Med 13:99-121 [PubMed]

Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M (2005) Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural Comput 17:1776-801 [Journal] [PubMed]

Peterson BE, Healy MD, Nadkarni PM, Miller PL, Shepherd GM (1996) ModelDB: an environment for running and storing computational models and their results applied to neuroscience. J Am Med Inform Assoc 3:389-98 [Journal] [PubMed]

Santamaria F, Tripp PG, Bower JM (2007) Feedforward inhibition controls the spread of granule cell-induced Purkinje cell activity in the cerebellar cortex. J Neurophysiol 97:248-63 [Journal] [PubMed]

Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D (2011) Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. J Comput Neurosci 30:633-58 [Journal] [PubMed]

   Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010) [Model]
   Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017) [Model]

Tabak J, Moore LE (1998) Simulation and parameter estimation study of a simple neuronal model of rhythm generation: role of NMDA and non-NMDA receptors. J Comput Neurosci 5:209-35 [PubMed]

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