Lab Publications

Found 267 results
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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Neymotin, S., Lytton WW., Olypher AO., & AA F. (2011).  Measuring the quality of neuronal identification in ensemble recordings. jnsci. 31, 16398–16409.
Neymotin, S., Olypher AV., Kao HY., Kelemen E., Jozwicka AE., Lytton WW., et al. (2008).  Standardized assessment of extracellular single unit isolation quality. socns. 690, 12.
Neymotin, SA., Suter BA., Migliore M., Salvador D-B., Shepherd GMG., & Lytton WW. (2015).  Optimizing computer models of layer 5 motor cortex pyramidal neurons using somatic whole-cell recordings. Society for Neuroscience.
Neymotin, SA., Uhlrich DJ., & Lytton WW. (2008).  Virtual slice simulation of resonance in a layered cortical model. Society for Neuroscience.
Neymotin, S., Suter BA., Dura-Bernal S., Shepherd GM., Migliore M., & Lytton WW. (2017).  Optimizing computer models of corticospinal neurons to replicate in vitro dynamics. J Neurophysiol. 117, 148-162.
Neymotin, SA., Kerr CC., Fietkiewicz CT., Chadderdon GL., & Lytton WW. (2011).  Spike-timing-dependent plasticity and subcortical waves enhance alpha oscillations in a computer model of neocortex. Neuroinformatics.
Neymotin, S. A., Dura-Bernal S., Seidenstein A., Lakatos P., Sanger T. D., & Lytton and. William W. (2016).  Multiscale modeling of multitarget pharmacotherapy for dystonia. Computational Neuroscience Meeting (CNS 16').
Neymotin, S. A., McDougal R. A., Hines M., & Lytton W. W. (2014).  Calcium regulation of HCN supports persistent activity associated with working memory: a multiscale model of prefrontal cortex. Computational Neuroscience Meeting (CNS 14').
Neymotin, S., Jacobs KM., Fenton AA., & Lytton WW. (2011).  Synaptic information transfer in computer models of neocortical columns. J Comput Neurosci. 30, 69-84.
Neymotin, S., Chadderdon GL., Kerr CC., Francis JT., & Lytton WW. (2013).  Reinforcement learning of 2-joint virtual arm reaching in computer model of sensorimotor cortex. Neural Comput. 25, 3263–3293.
Neymotin, S., Dura-Bernal S., Lakatos P., Sanger TD., & Lytton WW. (2016).  Multitarget multiscale simulation for pharmacological treatment of dystonia in motor cortex. Front Pharmacol. 7, 157.
Neymotin, S., Dura-Bernal S., Moreno H., & Lytton WW. (2017).  Computer modeling for pharmacological treatments for dystonia. Drug Discov Today: Dis Model. In Press.
Neymotin, S., McDougal R. A., Sherif MA., Fall CP., Hines ML., & Lytton WW. (2015).  Neuronal calcium wave propagation varies with changes in endoplasmic reticulum parameters: a computer model. Neural Comput. 27, 898–924.
Neymotin, S. A., Kerr C., Francis J. T., & Lytton WW. (2011).  Attentional modulation of receptive fields in a computer model of the thalamocortical system. Society for Neuroscience 2011 (SFN '11).
Neymotin, SA., Salvador D-B., Suter BA., Migliore M., Shepherd GMG., & Lytton WW. (2015).  Microconnectomics of primary motor cortex: a multiscale computer model. Multiscale Modeling. National Institutes of Health.
Newton, A. J. H., McDougal R. A., Hines M. L., & Lytton W. W. (2018).  Using NEURON for reaction-diffusion modeling of extracellular dynamics. Frontiers in Neuroinformatics.
Newton, A. J. H., Seidenstein A. H., McDougal R. A., Hines M., & Lytton W. W. (2018).  Extracellular reaction–diffusion in the NEURON simulator: modeling ischemic stroke. Computational Neuroscience Meeting (CNS 18').
Newton, A., Seidenstein A. H., Hines M. L., Mcdougal R. A., & Lytton WW. (2018).  Multiscale simulation of spreading depolarization in ischemic stroke. Society for Neuroscience 2018 (SFN '18).
Newton, A.. J. H., Conte C.., Eggleston L.., Blasy E.., Hines M.. L., Lytton W.. W., et al. (2019).  Efficient in silico 3D intracellular neuron simulation. Society for Neuroscience 2019 (SFN '19).
Newton, A. J. H., Hines M. L., Lytton W. W., & McDougal R. A. (2019).  Homeostasis and spreading depolarization in multiscale simulation of ischemic stroke.. Society for Neuroscience 2018 (SFN '19).
Newton, AJH., & Lytton WW. (2017).  Computer modeling of ischemic stroke. Drug Discov Today: Dis Model. 30, In press.
Newton, A., Mcdougal R. A., Hines M. L., Miyazaki K., Ross W. N., & Lytton WW. (2017).  Modeling electrodiffusion with the NEURON reaction-diffusion module. Society for Neuroscience 2017 (SFN '17).
Neville, K., & Lytton WW. (1999).  Potentiation of Ca influx through NMDA channels by action potentials: a computer model. Neuroreport. 10, 3711-3716.
M
Mulugeta, L., Drach A., Erdemir A., Hunt C. A., Horner M., Ku J. P., et al. (2018).  Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience. Front. Neuroinform.. 12,
Mohan, A., Chadderdon G. L., Suter B. A., Shepherd G. M. G., & Lytton WW. (2013).  Network-level coincidence detection in a computer simulation of primary motor cortex. Society for Neuroscience 2013 (SFN '13).
Migliore, M., Cannia C., Lytton WW., & Hines ML. (2006).  Parallel Network Simulations with NEURON. J. Computational Neuroscience. 6, 119-129.
Mcdougal, R. A., Newton A. J. H., Patoary M. N. I., Tropper C., Hines M. L., & Lytton WW. (2017).  Parallel stochastic spines in NEURON reaction-diffusion simulations. Society for Neuroscience 2017 (SFN '17).
McDougal, R. A., Hines ML., & Lytton WW. (2013).  Water-tight membranes from neuronal morphology files. J Neurosci Methods. 220, 167–178.
Mcdougal, R. A., Hines M. L., & Lytton WW. (2014).  Calcium 'impedance mismatch' – the role of geometry on diffusion dynamics. Society for Neuroscience 2014 (SFN '14).
Mcdougal, R. A., Lytton WW., & Hines M. L. (2011).  Object-oriented reaction-diffusion modeling in the neuron simulator. Society for Neuroscience 2011 (SFN '11).
McDougal, R. A., Hines ML., & Lytton WW. (2013).  Reaction-Diffusion in the NEURON Simulator. Front Neuroinform. 7:28,
Mcdougal, R. A., Newton A., Hines M. L., & Lytton WW. (2018).  Building, simulating, and visualizing reaction-diffusion models with NEURON's enhanced rxd module. Society for Neuroscience 2018 (SFN '18).
McDougal, R. A., Bulanova AS., & Lytton WW. (2016).  Reproducibility in computational neuroscience models and simulations. {IEEE} Trans Biomed Eng. 63, 2021-2035.
McDougal, R. A., Newton A. J. H., & Lytton W. W. (2018).  Building and visualizing reaction–diffusion simulations in NEURON. Computational Neuroscience Meeting (CNS 18').
McDougal, R., Hines ML., & Lytton WW. (2012).  Reaction-diffusion modeling in the NEURON simulator. Computational Neuroscience.
McDougal, R. A., Skolnick Y., Schaff JC., Lytton WW., & Hines ML. (2012).  Reaction-diffusion modeling in the NEURON simulator. BMC Neuroscience. 13, P119.
Mcdougal, R. A., Tropper C., Hines M. L., & Lytton WW. (2016).  Expanding NEURON support for reaction-diffusion models. Society for Neuroscience 2016 (SFN '16).
Mcdougal, R. A., Bulanova A. S., Hines M. L., & Lytton WW. (2015).  Hybrid 1d/3d reaction-diffusion in the neuron simulator. Society for Neuroscience 2015 (SFN '15).
Mcdougal, R. A., Hines M. L., & Lytton WW. (2012).  Calcium-electrical interactions: An example of reaction-diffusion in the neuron simulator. Society for Neuroscience 2012 (SFN '12).
McDougal, RA., Hines ML., & Lytton WW. (2014).  A method for multi-simulator reaction-diffusion with NEURON. Computational Neuroscience.
L
Lytton, WW., & Hines M. (2005).  Independent variable timestep integration of individual neurons for network simulations. 17, 903-921.
Lytton, WW., & Stewart M. (2006).  Rule-based firing for network simulations. Neurocomputing. 69, 1160-1164.
Lytton, WW., Orman R., & Stewart M. (2008).  Broadening of activity with flow across neural structures. Perception. 37, 401-407.
Lytton, WW., & Wathey J. C. (1992).  Realistic single-neuron modeling. Seminars in Neuroscience. 4, 15-25.
Lytton, WW. (1991).  Simulations of a phase comparing neuron of the electric fish Eigenmannia. 169, 117-125.
Lytton, WW. (1997).  Brain organization: from molecules to parallel processing. (Trimble, MR., & Cummings JL., Ed.).Contemporary Behavioral Neurology. 5-28.
Lytton, WW., Neymotin S., Wester JC., & Contreras D. (2014).  Neocortical simulation for epilepsy surgery guidance: localization and intervention. (Bass, B., & Garbey M., Ed.).Computational Surgery and Dual Training. 339–349.
Lytton, WW., & Sejnowski TJ. (1992).  Computational Neuroscience. (Asbury, AK., McKhann GM., & McDonald WI., Ed.).Diseases of the Nervous System: Clinical Neurobiology.
Lytton, WW. (2006).  Neural query system: data-mining from within the NEURON simulator. Neuroinformatics. 4, 163-176.
Lytton, WW. (1997).  A computer model of clonazepam's effect in a thalamic slice model of absence epilepsy. Neuroreport. 8, 3339-3343.
Lytton, WW. (2017).  Computers, causality and cure in epilepsy. Brain. 140, 516-519.
Lytton, WW., & Sejnowski TJ. (1991).  Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons. 66, 1059-1079.
Lytton, WW., & Lipton P. (1999).  Can the hippocampus tell time?: The temporo-septal engram shift model. Neuroreport. 10, 2301-2306.
Lytton, WW., Destexhe A., & Sejnowski TJ. (1996).  Control of slow oscillations in the thalamocortical neuron: A computer model. Neuroscience. 70, 673-684.
Lytton, W. W., & Hines M. (2007).  Just-in-time connectivity for very large neuronal networks. Computational Neuroscience Meeting (CNS 07').
Lytton, WW., Seidenstein AH., Dura-Bernal S., McDougal R. A., Schürmann F., & Hines ML. (2016).  Simulation neurotechnologies for advancing brain research: parallelizing large networks in NEURON. Neural Comput. 28, 2063-2090.
Lytton, WW. (1998).  Adapting a feedforward heteroassociative network to Hodgkin-Huxley dynamics. J. Computational Neuroscience. 5, 353-364.
Lytton, WW., & Stewart M. (2007).  Data mining through simulation. Methods Mol Biol. 401, 155-166.
Lytton, WW., & Drongelen W. (2015).  Beyond the canon: temporal and spatial multiscale organization in cortex. Computational Neuroscience Meeting Workshop.
Lytton, WW., Orman R., & Stewart M. (2005).  Computer simulation of epilepsy: implications for seizure spread and behavioral dysfunction. Epilepsy & Behavior. 7, 336-344.
Lytton, WW., Contreras D., Destexhe A., & Steriade M. (1997).  Dynamic interactions determine partial thalamic quiescence in a computer network model of spike-and-wave seizures. jnphys. 77, 1679-1696.
Lytton, WW. (2017).  Computer modeling of epilepsy: opportunities for drug discovery. Drug Discov Today: Dis Model. In press.
Lytton, WW., Neymotin S., & Hines ML. (2008).  The virtual slice setup. J Neurosci Methods. 171, 309-315.
Lytton, WW., & Kristan WB. (1989).  Localization of a leech inhibitory synapse by photo-ablation of individual dendrites. 504, 43-48.
Lytton, WW., Neymotin SA., Lee HK., Uhlrich DJ., & AA F. (2008).  Circuit changes augment disinhibited shock responses in computer models of neocortex. American Epilepsy Society Annual Meeting.
Lytton, WW., Neymotin S., & Kerr CC. (2014).  Multiscale modeling for clinical translation in neuropsychiatric disease. J Comput Surgery. 1, 7.
Lytton, WW. (1996).  Optimizing synaptic conductance calculation for network simulations. ncomp. 8, 501-510.
Lytton, WW. (2002).  From Computer to Brain.
Lytton, WW., & Omurtag A. (2007).  Tonic-clonic transitions in computer simulation. J Clin Neurophys. 24, 175-181.
Lytton, WW., Hellman KM., & Sutula TP. (1998).  Computer Models of Hippocampal Circuit Changes of the Kindling Model of Epilepsy. Artificial Intelligence in Medicine. 13, 81-98.
Lytton, WW. (2008).  Computer modelling of epilepsy. Nat Rev Neurosci. 9, 626-637.
Lytton, WW., & Shepherd G. M. G. (2010).  Computer network model predicts dependence of neocortical laminar activation patterns on form of stimulation. Society for Neuroscience 2010 (SFN '10).
Lytton, WW., & Stewart M. (2002).  Dendritic resonance in in subicular dendrites, a computer model. 28,
Lytton, WW., & Kerr C.. (2013).  Computational Neuroscience of Neurons and Synapses. (Pfaff, D., Ed.).
Lytton, WW., Stewart M., & Hines ML. (2008).  Simulation of large networks: technique and progress. (Soltesz, I., & Staley K., Ed.).Computational Neuroscience in Epilepsy. 3-17.