We ask that you cite the following three papers in all publications that make use of MCell.

The first publication in which MCell is named: Stiles, JR, et al. (1996). Miniature endplate current rise times <100 μs from improved dual recordings can be modeled with passive acetylcholine diffusion from a synaptic vesicle. Proc. Natl. Acad. Sci. USA 93:5747-5752.
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A good reference for learning to use MCell: Stiles, JR, and Bartol, TM. (2001). Monte Carlo methods for simulating realistic synaptic microphysiology using MCell. In: Computational Neuroscience: Realistic Modeling for Experimentalists, ed. De Schutter, E. CRC Press, Boca Raton, pp. 87-127.
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Kerr R, Bartol TM, Kaminsky B, Dittrich M, Chang JCJ, Baden S, Sejnowski TJ, Stiles JR. (2008). Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces. SIAM J. Sci. Comput., 30(6):3126-3149.
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Other publications from the MCell developers and outside users. If you know of any other publications, please let us know.

2016

• Donovan RM, Tapia JJ, Sullivan DP, Faeder JR, Murphy RF, Dittrich M, et al. (2016) Unbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of Trajectories. PLoS Computational Biology. 12(2):. doi: 10.1371/journal.pcbi.1004611. PMID:26845334
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2015

• Bartol TM, Dittrich M, Faeder JR. (2015) MCell. Encyclopedia of computational neuroscience. 1673-1676.
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• Angiolini J, Plachta N, Mocskos E, Levi V. (2015) Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments. Biophysical Journal. 108(11):2613-2618. doi: 10.1016/j.bpj.2015.04.014. PMID:26039162
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• Bartol TM, Keller DX, Kinney JP, Bajaj CL, Harris KM, Sejnowski TJ, et al. (2015) Computational reconstitution of spine calcium transients from individual proteins. Frontiers in Synaptic Neuroscience. 7(OCT):17. doi: 10.3389/fnsyn.2015.00017. PMID:26500546
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• Johnson T, Bartol T, Sejnowski T, Mjolsness E. (2015) Model reduction for stochastic CaMKII reaction kinetics in synapses by graph-constrained correlation dynamics. Physical biology. 12(4):045005. doi: 10.1088/1478-3975/12/4/045005. PMID:26086598
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• Keller D, Babai N, Kochubey O, Han Y, Markram H, Schürmann F, et al. (2015) An Exclusion Zone for Ca2+ Channels around Docked Vesicles Explains Release Control by Multiple Channels at a CNS Synapse. PLoS computational biology. 11(5):e1004253. doi: 10.1371/journal.pcbi.1004253. PMID:25951120
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• Luo F, Dittrich M, Cho S, Stiles JR, Meriney SD. (2015) Transmitter release is evoked with low probability predominately by calcium flux through single channel openings at the frog neuromuscular junction. Journal of Neurophysiology. 113(7):jn.00879.2014. doi: 10.1152/jn.00879.2014. PMID:25652927
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• Ma J, Kelly L, Ingram J, Price TJ, Meriney SD, Dittrich M. (2015) New insights into short-term synaptic facilitation at the frog neuromuscular junction. Journal of neurophysiology. 113(1):71-87. doi: 10.1152/jn.00198.2014. PMID:25210157
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• Rooney KE, Wallace LJ. (2015) Computational modeling of extracellular dopamine kinetics suggests low probability of neurotransmitter release. Synapse. 69(11):515-525. doi: 10.1002/syn.21845. PMID:26248886
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2014

• Stefan M.I., Bartol T.M., Sejnowski T.J., Kennedy M.B. (2014). Multi-state Modeling of Biomolecules, PLoS Comput Biol, 10(9): e1003844.
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• Chapochnikov NM, et al. (2014). Uniquantal Release through a Dynamic Fusion Pore Is a Candidate Mechanism of Hair Cell Exocytosis, Neuron. 83(6):1389-403.
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• Fameli N, et al. (2014). Cytoplasmic nanojunctions between lysosomes and sarcoplasmic reticulum are required for specific calcium signaling. ArXiv e-prints
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• Scimemi A. (2014). Plasticity of GABA transporters: an unconventional route to shape inhibitory synaptic transmission, Frontiers in Cellular Neuroscience, 8(128).
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• Edwards J, et al. (2014). VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function, Neuroinformatics. 12(2):277-289.
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2013

• Kinney JP, et al. (2013). Extracellular sheets and tunnels modulate glutamate diffusion in hippocampal neuropil Journal of Comparative Neurology, 521(2):448-464.
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• van Breemen C. (2013). Pan-junctional sarcoplasmic reticulum in vascular smooth muscle: nanospace Ca2+ transport for site- and function-specific Ca2+ signalling The Journal of Physiology, 591(8):2043-2054
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• Blackwell K. (2013). Approaches and tools for modeling signaling pathways and calcium dynamics in neurons, Journal of Neuroscience Methods, 220(2):131-140
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• Dilger J. (2013). Simulation of the Kinetics of Neuromuscular Block: Implications for Speed of Onset, Anesthesia & Analgesia, 117(4):792-802.
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• Regner BM, Vučinić D, Domnisoru C, Bartol TM, Hetzer MW, Tartakovsky DM, Sejnowski TJ. (2013). Anomalous Diffusion of Single Particles in Cytoplasm, Biophysical Journal, Volume 104, Issue 8, 16 April 2013, Pages 1652-1660, ISSN 0006-3495, http://dx.doi.org/10.1016/j.bpj.2013.01.049.
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• P Thanapal, G Gunasekaran. (2013). A Distributed Job Scheduling on The Grid Using Particle Swarm Optimization (Pso) Algorithm International Journal of Advanced Research in Computer Science and Software Engineering
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• Montes J, Gomez E, Merchán-Pérez A, DeFelipe J, Peña J-M. (2013). A Machine Learning Method for the Prediction of Receptor Activation in the Simulation of Synapses. PLoS ONE 8(7): e68888. doi:10.1371/journal.pone.0068888
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• Baxter GT, Frank LR. (2013). A computational model for diffusion weighted imaging of myelinated white matter, NeuroImage, Volume 75, Pages 204-212
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• Dittrich M, Pattillo JM, King JD, Cho S, Stiles JR, Meriney SD. (2013) An excess-calcium-binding-site model predicts neurotransmitter release at the neuromuscular junction. Biophysical Journal, 104:2751-2763
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• Meriney SD, Dittrich M. (2013). Organization and function of transmitter release sites at the neuromuscular junction. The Journal of Physiology, 591:3159-3165
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2012

• Scimemi A, Diamond JS. (2012). J Neurosci. 2012 Dec 12;32(50):18157-76. doi: 10.1523/JNEUROSCI.3827-12.2012.
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• Barroso EG, Sanchez JMP, Perez AM. (2012). Simulation of the release and diffusion of neurotransmitters in neuronal synapses: Analysis and modelling, High Performance Computing and Simulation (HPCS), 2012 International Conference on , vol., no., pp.696,698, 2-6
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• Kinney J, Spacek J, Bartol T, Bajaj C, Harris K, Sejnowski T. (2012). Extracellular Sheets and Tunnels Modulate Glutamate Diffusion in Hippocampal Neuropil. J Comp Neurol. 521(2): 448–464
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• Fameli N, Evans AM, Breemen C. (2012). The role of nanospaces between the organellar membranes in smooth muscle cell Ca2+ signaling. Store-operated Ca 2+ Entry (SOCE) Pathways: Emerging signaling concepts in human (patho)physiology, ed. Groschner K, Graier WF, Romanin C. Springer. pp. 231-247.
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2011

• Fameli N, Breemen C. (2011). The role of cytoplasmic nanospaces in smooth muscle cell Ca2+ signalling. Protoplasma, DOI: 10.1007/s00709-011-0348-4:1-10.
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• Luo F, Dittrich M, Stiles J, et al. (2011) Single-Pixel Optical Fluctuation Analysis of Calcium Channel Function in Active Zones of Motor Nerve Terminals. Journal of Neuroscience. 31(31):11268-1128.
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• Mohan A, Pendyam S, Kalivas PW, Nair SS. (2011). Molecular Diffusion Model of Neurotransmitter Homeostasis Around Synapses Supporting Gradients. Neural Computation, 23:1-31.
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2010

• Beenhakker MP, Huguenard JR. (2010). Astrocytes as Gatekeepers of GABAB Receptor Function. The Journal of Neuroscience, 30(45):15262-15276.
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• DeStefino NR, Pilato AA, Dittrich M, Cherry SV, Cho S, Stiles JR, Meriney SD. (2010). (R)-roscovitine prolongs the mean open time of unitary N-type calcium channel currents. Neuroscience, 167(3):838-849.
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• Dilger JP. (2010). Monte Carlo simulation of buffered diffusion into and out of a model synapse. Biophys J., 98(6):959-6.
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• Modchang C, Nadkarni S, Bartol T, Triampo W, Sejnowski T, Levine H, Rappel W. (2010). A comparison of deterministic and stochastic simulations of neuronal vesicle release models. Phys. Biol., 7(2):026008.
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• Nadkarni S, Bartol TM, Sejnowski TJ, Levine H. (2010). Modelling Vesicular Release at Hippocampal Synapses. PLoS Comput. Biol., 6(11):e1000983.
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• Zeng SY, Holmes WR. (2010). The effect of noise on CaMKII activation in a dendritic spine during LTP induction. J Neurophysiol., 103:1798-1808.
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2009

• Balls GT, Frank LR. (2009). A simulation environment for diffusion weighted MR experiments in complex media. Magn Reson Med., 62(3):771-8.
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• Czech J, Dittrich M, Stiles JR. (2009). Rapid Creation, Monte Carlo Simulation, and Visualization of Realistic 3D Cell Models. Methods in Molecular Biology, Systems Biology, ed. Maly, Ivan V. Humana Press, Clifton, NJ, 237-287.
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• Messerli MA, Collis LP, Smith PJ. (2009). Ion trapping with fast-response ion-selective microelectrodes enhances detection of extracellular ion channel gradients. Biophys J., 96(4):1597-60.
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• Scimemi A, Beato M. (2009). Determining the neurotransmitter concentration profile at active synapses. Mol Neurobiol. 40(3):289-306.
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• Scimemi A, Tian H, Diamond JS. (2009). Neuronal transporters regulate glutamate clearance, NMDA receptor activation, and synaptic plasticity in the hippocampus. J Neurosci., 29(46):14581-95.
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2008

• John M, Ewald R, Uhrmacher AM. (2008). A spatial extension to the [pi] Calculus. Electronic Notes in Theoretical Computer Science, 194(3):133-148.
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• Kerr R, Bartol TM, Kaminsky B, Dittrich M, Chang JCJ, Baden S, Sejnowski TJ, Stiles JR. (2008). Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces. SIAM J. Sci. Comput., 30(6):3126-3149.
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• Rappel WJ, Levine H. (2008). Receptor noise and directional sensing in eukaryotic chemotaxis. Phys Rev Lett., 100(22):228101.
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• Rappel WJ, Levine H. (2008). Receptor noise limitations on chemotactic sensing. Proc Natl Acad Sci U S A., 105(49):19270.
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• Syková E, Nicholson C. (2008). Diffusion in brain extracellular space. Physiol Rev., 88(4):1277-34.
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2007

• Beck M, Lučić V, Förster F, Baumeister W, Medalia O. (2007). Snapshots of nuclear pore complexes in action captured by cryo-electron tomography. Nature, 449:611-615.
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• Kimmel JM, Salter RM, Thomas PJ. (2007). An Information Theoretic Framework for Eukaryotic Gradient Sensing. Advances in Neural Information Processing Systems 19, 705-712.
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• Nicholson C. (2007). Modeling Brain Extracellular Space from Diffusion Data. Diffusion Fundamentals, 6:75.1-75.15.
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• Postlethwaite M, Hennig MH, Steinert JR, Graham BP, Forsythe ID. (2007). Acceleration of AMPA receptor kinetics underlies temperature-dependent changes in synaptic strength at the rat calyx of Held. J Physiol., 579(Pt 1):69-8.
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• Wang K, Rappel WJ, Kerr R, Levine H. (2007). Quantifying noise levels of intercellular signals. Phys Rev E Stat Nonlin Soft Matter Phys., 75(6 Pt 1):061905.
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• Wu XS, Xue L, Mohan R, Paradiso K, Gillis KD, Wu LG. (2007). The Origin of Quantal Size Variation: Vesicular Glutamate Concentration Plays a Significant Role. J Neurosci., 27(11):3046-3056.
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2006

• Kerr RA, Levine H, Sejnowski TJ, Rappel W. (2006). Division accuracy in a stochastic model of Min oscillations in Escherichia coli. Proc Natl Acad Sci USA, 103:347-352.
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• Koh X, Srinivasan B, Ching HS, Levchenko A. (2006). A 3D Monte Carlo analysis of the role of dyadic space geometry in spark generation. Biophys J., 90(6):1999-2014.
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• Tolle DP, Le Novere N. (2006). Particle-Based Stochastic Simulation in Systems Biology. Current Bioinformatics, 1:1–6.
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2005

• Blackwell K. (2005). A new era in computational neuroscience. Neuroinformatics, 3(2):163-166.
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• Coggan JS, Bartol TM, Esquenazi E, Stiles JR, Lamont S, Martone ME, Berg DK, Ellisman MH, Sejnowski, TJ. (2005). Evidence for ectopic neurotransmission at a neuronal synapse. Science, 309:446-451.
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• Diamond JS. (2005). Deriving the glutamate clearance time course from transporter currents in CA1 hippocampal astrocytes: transmitter uptake gets faster during development. J Neurosci., 25(11):2906-16.
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• Feilim Mac Gabhann, Yang MT, Popel AS. (2005). Monte Carlo simulations of VEGF binding to cell surface receptors in vitro. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, 1746(2):95-107.
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• Hrabetova S, Tao L, Hrabe J, Nicholson C. (2005). Dead Spaces Hinder Diffusion and Contribute to Tortuosity of Brain Extracellular Space. Diffusion Fundamentals, 2:121.1-121.2.
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• Lemerle C, Ventura B, Serrano L. (2005). Space as the final frontier in stochastic simulations of biological systems. FEBS Letters, 579(8):1789-1794.
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• Nicholson C. (2005). Factors governing diffusing molecular signals in brain extracellular space. J Neural Transm., 112(1):29-44.
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• Sikora MA, Gottesman J, Miller RF. (2005). A computational model of the ribbon synapse. J Neurosci Methods., 45(1-2):47-61.
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• Sosinsky GE, Deerinck TJ, Greco R, Buitenhuys CH, Bartol TM, Ellisman MH. (2005). Development of a model for microphysiological simulations: small nodes of ranvier from peripheral nerves of mice reconstructed by electron tomography. Neuroinformatics, 3(2):133-62.
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• Tao A, Tao L, Nicholson C. (2005). Cell cavities increase tortuosity in brain extracellular space. J Theor Biol., 21;234(4):525-3.
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2004

• Balls GT, Baden SB, Kispersky T, Bartol TM, Sejnowski TJ. (2004). A large scale Monte Carlo simulator for cellular microphysiology. Parallel and Distributed Processing Symposium, Proceedings. 18th International, 42:26-30.
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• Casanova H, Berman F, Bartol T, Gokcay E, Sejnowski T, Birnbaum A, Dongarra J, Miller M, Ellisman M, Faerman M, Obertelli G, Wolski R, Pomerantz S, Stiles J. (2004). The Virtual Instrument: Support For Grid-Enabled Mcell Simulations. Int. J. High Perform. Comput. Appl.,18(1):3-17.
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• Hrabe J, Hrabetová S, Segeth K. (2004). A model of effective diffusion and tortuosity in the extracellular space of the brain. Biophys J., 87(3):1606-17.
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• Keller, DX, Sobczyk, A, Bartol, TM, Svoboda, K, Sejnowski, TJ (2004) Refined Monte Carlo models of NMDA receptor signaling. Soc. Neurosci. Abst.
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• Kerr, R, Bartol, TM, Stiles, JR, Kennedy, MB, and Sejnowski, TJ. (2004) MCell3: A next-generation simulator of cellular microphysiology. Soc. Neurosci. Abst.
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• Kinney, JP, Bartol, TM, Sejnowski, TJ (2004) Monte Carlo model of background glutamate spillover in the hippocampus. Soc. Neurosci. Abst.
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• Lopreore, CL, Bartol, TM, and Sejnowski, TJ. (2004) An electrodiffusion model for ion motion in dendritic spines. Soc. Neurosci. Abst.
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• Mitsner, V, Eagleman, DM, Coenen, OJD, Bartol, TM, JonesYZ, Ellisman, MH, Sejnowski, TJ (2004) A Monte Carlo model of extracellular calcium dynamics in the cerebellar glomerulus. Soc. Neurosci. Abst.
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• Pattillo, JM, Meriney, SD, and Stiles, JR. (2004) Spatially realistic Monte Carlo simulations predict calcium dynamics underlying transmitter release at a neuromuscular active zone. Soc. Neurosci. Abst.
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• Pawlu C, DiAntonio A, Heckmann M. (2004). Postfusional control of quantal current shape. Neuron, 43:607-618.
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• Rollenhagen, A., Söhl, L., Roth, A., Sätzler, K., Jonas, P., Frotscher, M. & Lübke, J. (2004). Three-dimensional morphology of a central excitatory synapse: the mossy fiber bouton. FENS Abstracts 2, A119.10.
  
  
• Stiles JR, Ford WC, Pattillo JM, Deerinck TE, Ellisman MH, Bartol TM, Sejnowski TJ. (2004). Spatially realistic computational physiology: past, present, and future. In: Parallel Computing: Software Technology, Algorithms, Architectures & Applications, ed. Joubert, G, et al. Elsevier, Amsterdam, 685-694.
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• Tao L, Nicholson C. (2004). Maximum geometrical hindrance to diffusion in brain extracellular space surrounding uniformly spaced convex cells. J Theor Biol., 229(1):59-68.
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• Wachman ES, Poage RE, Stiles JR, Farkas DL, Meriney SD. (2004). Spatial distribution of calcium entry evoked by single action potentials within the presynaptic active zone. J. Neurosci., 24:2877-2885.
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2003

• Agrawal S, Dongarra J, Seymour K, Vadhiyar S. (2003). NetSolve: Past, present, and future; a look at a Grid enabled server. GridComputing: Making the Global Infrastructure a Reality, eds. Berman F, Fox GC, Hey AJG. Wiley: Chichester, 615-624.
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• Lopreore, CL, Keller, DX, Bartol, TM, Sejnowski, TJ. (2003) A hybrid electro-diffusion model for neural signaling. Soc. Neurosci. Abst.
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• Mitsner, V, Eagleman, DM, Coenen, OJD; Wood, K; Bartol, TM, Jones YZ, Ellisman, MH, Sejnowski, TJ. (2003) Depletion of extracellular calcium in the cerebellar glomerulus. Soc. Neurosci. Abst.
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• Rollenhagen, A., Söhl, L., Roth, A., Ohana, O., Sätzler, K., Sakmann, B., Frotscher, M. & Lübke, J. (2003). Morphology of central synapses: from structure to function. Society for Neuroscience Abstracts 29, 122.1.
  
  

2002

• Franks KM, Bartol TM, Sejnowski TJ. (2002). A Monte Carlo Model Reveals Independent Signaling at Central Glutamatergic Synapses. Biophysical Journal, 83(5):2333-2348.
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• Franks KM, Sejnowski, TJ. (2002). Complexity of calcium signaling in synaptic spines. BioEssays, 24:1130–1144.
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• Gomez CM, Maselli RA, Vohra BP, Navedo M, Stiles JR, Charnet P, Schott K, Rojas L, Keesey J, Verity A, Wollmann RW, Lasalde-Dominicci J. (2002). Novel delta subunit mutation in slow-channel syndrome causes severe weakness by novel mechanisms. Ann. Neurol., 51:102-112.
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• Overstreet LS, Westbrook GL, Jones MV. (2002). Measuring and Modeling the Spatiotemporal Profile of GABA at the Synapse. In Transmembrane Transporters, ed. Quick M. Wiley, New York, 259-275.
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• Slepchenko BM, Schaff JC, Carson JH, Loew LM. (2002). Computational Cell Biology: Spatiotemporal Simulation of Cellular Events, Annual Review of Biophysics and Biomolecular Structure, 31(1):423-441
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• Tao L, Hrabetova S, Nicholson C (2002). Effect of brain extracellular space geometry on molecular diffusion revealed by Monte Carlo simulation. Program No. 763.1. 2002 Abstract Viewer/Itinerary Planner. Washington, DC: Society for NeurosScience. Online.
  
  

2001

• Casanova H, Bartol TM, Stiles J, Berman F. (2001). Distributing MCell simulations on the grid. International Journal of High Performance Computing Applications, 15(3):243-257.
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• Diamond JS. (2001). Neuronal glutamate transporters limit activation of NMDA receptors by neurotransmitter spillover on CA1 pyramidal cells. J Neurosci., 21(21):8328-38.
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• Franks KM, Bartol TM, Sejnowski TJ. (2001). An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines. Neurocomputing, 38-40:9-16.
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• Miller RF, Gottesman J, Henderson D, Sikora M, Kolb H. (2001). Pre- and postsynaptic mechanisms of spontaneous, excitatory postsynaptic currents in the salamander retina. Progress in Brain Research: Concepts and Challenges in Retinal Biology, 131:241-253.
  
  
• Roth, A., Wilkinson, J.A., Cottingham, C.A., Nusser, Z. & Häusser, M. (2001). Spatiotemporal dynamics of transmitter diffusion at excitatory synapses in the cerebellar cortex. Society for Neuroscience Abstracts 27, 155.6.
  
  
• Stiles JR, Bartol TM, Salpeter MM, Salpeter EE, Sejnowski TJ. (2001). Synaptic variability: new insights from reconstructions and Monte Carlo simulations with MCell. In: Synapses, ed. Cowan, WM, Stevens, CF, and Sudhof, TC. Johns Hopkins Univ. Press, Baltimore, 681-731.
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• Stiles JR, Bartol TM. (2001). Monte Carlo methods for simulating realistic synaptic microphysiology using MCell. In: Computational Neuroscience: Realistic Modeling for Experimentalists, ed. De Schutter, E. CRC Press, Boca Raton, 87-127.
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2000

• Casanova H, Legrand A, Zagorodnov D, Berman F. (2000). Heuristics for scheduling parameter sweep applications in grid environments, Heterogeneous Computing Workshop, 9:349-363.
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• Häusser M, Nusser Z, Roth A. (2000). Modelling synaptic transmission at granule cell-Purkinje cell synapses. European Journal of Neuroscience, 12(11):182.
  
  
• Li Y, William R. Holmes WR. (2000). Comparison of CaMKinase II activation in a dendritic spine computed with deterministic and stochastic models of the NMDA synaptic conductance. Neurocomputing, 32-33:1-7.
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• Nusser, Z., Roth, A., Schorge, S. & Häusser, M. (2000). Simulations of synaptic transmission in 3-D reconstructions of cerebellar neuropil. Society for Neuroscience Abstracts 26, 1122.
  
  

1999

• Casanova H, Kim M, Plank JS, et al. (1999). Adaptive scheduling for task farming with grid middleware, International Journal Of High Performance Computing Applications, 13(3):231-24.
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• Geiger JRP, Roth A, Taskin B, Jonas P. (1999). Glutamate-mediated synaptic excitation of cortical interneurons. In: Ionotropic Glutamate Receptors in the CNS (vol. 141 of Handbook of Experimental Pharmacology), eds. Jonas P, Monyer H. Springer-Verlag, Berlin, 363-398.
  
  
• Stiles JR, Kovyazina IV, Salpeter EE, Salpeter MM. (1999). The temperature sensitivity of miniature endplate currents is mostly governed by channel gating: evidence from optimized recordings and Monte Carlo simulations. Biophys. J., 77:1177-1187.
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1998

• Nicholson C, Syková E. (1998). Diffusion in brain extracellular space. Trends Neurosci., 21(5):207-1.
  
  
• Stiles JR, Bartol TM, Salpeter EE, Salpeter, MM. (1998). Monte Carlo simulation of neurotransmitter release using MCell, a general simulator of cellular physiological processes. In: Computational Neuroscience, ed. Bower, JM. Plenum, NY., 279-284.
  
  

1996

• Stiles JR, Van Helden D, Bartol TM, Salpeter EE, Salpeter MM. (1996). Miniature endplate current rise times <100 μ from improved dual recordings can be modeled with passive acetylcholine diffusion from a synaptic vesicle. Proc. Natl. Acad. Sci. USA, 93:5747-5752.
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1994

• Anglister, L, Stiles, JR, and Salpeter, MM (1994) Acetylcholinesterase density and turnover number at frog neuromuscular junctions, with modeling of their role in synaptic function. Neuron 12: 783-794.
  
  

1992

• Bartol, T.M. Jr. (1992) PhD thesis, Cornell Univ.
  
  

1991

• Bartol Jr., T.M., Land, B.R., Salpeter, E.E., Salpeter, M.M. (1991) Monte Carlo simulation of MEPC generation in the vertebrate neuromuscular junction. Biophys. J. 59:1290-1307.
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1990

• Stiles, J.R. (1990) PhD thesis, Univ. Kansas.