Lab Publications

Found 304 results
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Neymotin, SA., H L., AA F., & Lytton WW. (2010).  Interictal EEG discoordination in a rat seizure model. Statistical Analysis of Neuronal Data.
Kerr, CC., Neymotin SA., Mo J., Schroeder CE., M D., & Lytton WW. (2011).  Interlaminar feedback connections dominate in macaque inferotemporal cortex: in vivo and in silico studies. Society for Neuroscience.
Kerr, CC., Mo J., Neymotin SA., M D., & Lytton WW. (2011).  Interlaminar Granger causality and alpha oscillations in a model of macaque cortex. Computational Neuroscience.
Zhu, JJ., Lytton WW., Xue JT., & Uhlrich D. (1999).  An intrinsic oscillation in interneurons of the rat lateral geniculate nucleus. jnphys. 81, 702-711.
J
Lytton, WW., Omurtag A., Neymotin S., & Hines ML. (2008).  Just-in-time connectivity for large spiking networks. ncomp. 20, 2745-2756.
Lytton, W. W., & Hines M. (2007).  Just-in-time connectivity for very large neuronal networks. Computational Neuroscience Meeting (CNS 07').
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Neymotin, S., Lazarewicz MT., Sherif M., Contreras D., Finkel LH., & Lytton WW. (2011).  Ketamine disrupts theta modulation of gamma in a computer model of hippocampus. J Neurosci. 31, 11733-11743.
Neymotin, S., Lazarewicz MT., Sherif M., Contreras D., Finkel LH., & Lytton WW. (2011).  Ketamine disrupts theta modulation of gamma in a computer model of hippocampus. J Neurosci. 31, 11733-11743.
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Dura-Bernal, S., Kerr C., Neymotin S., Suter B., Shepherd G., Francis J., et al. (2015).  Large-scale M1 microcircuit model with plastic input connections from biological PMd neurons used for prosthetic arm control. 24th Annual Computational Neuroscience Meeting (CNS15).
Lin, Z., Tropper C., Yao Y., McDougal R. A., Patoary MN., Lytton WW., et al. (2017).  Load balancing for multi-threaded PDES of stochastic reaction-diffusion in neurons. J Simulation. 11, 267.
Lin, Z., Tropper C., Yao Y., McDougal R. A., Patoary MN., Lytton WW., et al. (2017).  Load balancing for multi-threaded PDES of stochastic reaction-diffusion in neurons. J Simulation. 11, 267.
Orman, R., Von Gizycki G., Lytton WW., & Stewart M. (2008).  Local axon collaterals of area ca1 support spread of epileptiform discharges within CA1, but propagation is unidirectional. Hippocampus. 18, 1021-1033.
Lytton, WW., & Kristan WB. (1989).  Localization of a leech inhibitory synapse by photo-ablation of individual dendrites. 504, 43-48.
Dura-Bernal, S., Neymotin S., Suter BA., Shepherd GMG., & Lytton WW. (2018).  Long-range inputs and H-current regulate different modes of operation in a multiscale model of mouse M1 microcircuits. bioRxiv.
Dura-Bernal, S., Neymotin S. A., Suter B. A., Shepherd G. M., & Lytton WW. (2017).  Long-range inputs and H-current regulate different modes of operation in a multiscale model of mouse M1 microcircuits. Society for Neuroscience 2017 (SFN '17).
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Womack, KB., Paliotta C., Strain JF., Ho JS., Skolnick Y., Lytton WW., et al. (2017).  Measurement of peripheral vision reaction time identifies white matter disruption in patients with mild traumatic brain injury. J Neurotrauma.
Neymotin, S., Lytton WW., Olypher AO., & AA F. (2011).  Measuring the quality of neuronal identification in ensemble recordings. jnsci. 31, 16398–16409.
McDougal, RA., Hines ML., & Lytton WW. (2014).  A method for multi-simulator reaction-diffusion with NEURON. Computational Neuroscience.
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., 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).
Taxin, ZH., Neymotin S., Mohan A., Lipton P., & Lytton WW. (2014).  Modeling molecular pathways of neuronal ischemia. Prog Mol Biol Transl Sci. 123, 249–275.
Taxin, ZH., Neymotin S., Mohan A., Lipton P., & Lytton WW. (2014).  Modeling molecular pathways of neuronal ischemia. Prog Mol Biol Transl Sci. 123, 249–275.
Graham, J.. W., Gao P.. P., Dura-Bernal S.., Sivagnanam S.., Hines M.. L., Antic S.. D., et al. (2019).  Modeling network effects of dendritic plateau potentials in cortical pyramidal neurons. Society for Neuroscience 2019 (SFN '19).
Knox, A. T., Glauser T., Tenney J., Lytton WW., & Holland K. (2018).  Modeling pathogenesis and treatment response in childhood absence epilepsy. Epilepsia. 59, 135–145.
Lytton, WW., & Thomas E. (1999).  Modeling thalamocortical oscillations. (Ulinski, P., Jones EG., & Peters A., Ed.).Cerebral Cortex. 13, 479-509.
Kerr, CC., Neymotin SA., Song W., Francis JT., & Lytton WW. (2011).  Modulation of stimulus fields in a computer model of the thalamocortical system. Society for Neuroscience.
Dura-Bernal, S., Li K., Brockmeier A., Kerr C., Neymotin S., Principe J., et al. (2014).  Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex. Computational Neuroscience Meeting (CNS '14). 15, P106.
Dura-Bernal, S., Li K., Brockmeier A., Kerr C., Neymotin S., Principe J., et al. (2014).  Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex. Computational Neuroscience Meeting (CNS '14). 15, P106.
Dura-Bernal, S., Li K., Brockmeier A., Kerr C., Neymotin S., Principe J., et al. (2014).  Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex. BMC Neuroscience. 15, P106.
Dura-Bernal, S., Li K., Brockmeier A., Kerr C., Neymotin S., Principe J., et al. (2014).  Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex. BMC Neuroscience. 15, P106.
Seidenstein, A., Mcdougal R. A., Hines M. L., & Lytton WW. (2016).  Mosaic multiscale computer modeling of ischemic stroke. Society for Neuroscience 2016 (SFN '16).
Chadderdon, GL., Mohan A., Suter BA., Neymotin S., Kerr CC., Francis JT., et al. (2014).  Motor cortex microcircuit simulation based on brain activity mapping. Neural Comput. 26, 1239–1262.
Neymotin, SA., BA S., Migliore M., Salvador D-B., Shepherd GMG., & Lytton WW. (2015).  Motor cortex neurons: from experiment to model via evolutionary algorithms. Computational Neuroscience.
Lytton, WW., Vadigepalli R., & Kramer MA. (2015).  Multiscale Computational Modeling for the US BRAIN initiative.
Seidenstein, A., Newton A., Macdougal R. A., & Lytton WW. (2017).  Multiscale computer modeling of penumbral zones in brain ischemia. Society for Neuroscience 2017 (SFN '17).
Lytton, WW., Neymotin S., & Kerr CC. (2014).  Multiscale modeling for clinical translation in neuropsychiatric disease. J Comput Surgery. 1, 7.
Lytton, WW., Arle J., Bobashev G., Ji S., Klassen TL., Marmarelis VZ., et al. (2017).  Multiscale modeling in the clinic: diseases of the brain and nervous system. Brain Inform. 4, 219-230.
Lytton, WW. (2018).  Multiscale modeling of brain disease. Society for Neuroscience 2018 (SFN '18).
Kerr, C. C., Van Albada S. J., Neymotin S. A., Chadderdon, Iii G. L., Robinson P. A., & Lytton W. W. (2013).  Multiscale modeling of cortical information flow in Parkinson's disease. Computational Neuroscience Meeting (CNS '13).
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., 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').
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).
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., Lakatos P., Sanger TD., & Lytton WW. (2016).  Multitarget multiscale simulation for pharmacological treatment of dystonia in motor cortex. Front Pharmacol. 7, 157.
Lin, Z., Tropper C., McDougal R. A., Patoary M. Nazrul Ish, Lytton WW., Yao Y., et al. (2017).  Multithreaded Stochastic PDES for Reactions and Diffusions in Neurons. ACM Transactions on Modeling and Computer Simulation (TOMACS). 27, 7.
Lin, Z., Tropper C., McDougal R. A., Patoary M. Nazrul Ish, Lytton WW., Yao Y., et al. (2017).  Multithreaded Stochastic PDES for Reactions and Diffusions in Neurons. ACM Transactions on Modeling and Computer Simulation (TOMACS). 27, 7.
Zhu, JJ., Uhlrich D., & Lytton WW. (1996).  Muscarinic receptor mediated responses in thalamic local interneurons. snabs. 22, 574.8.
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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.
Dura-Bernal, S., Suter B. A., Quintana A., Cantarelli M., Gleeson P., Rodriguez F., et al. (2018).  NetPyNE: A GUI-based tool to build, simulate and analyze large-scale, data-driven network models in parallel NEURON. Society for Neuroscience 2018 (SFN '18).
Dura-Bernal, S., Gleeson P., Neymotin S., Suter B. A., Quintana A., Cantarelli M., et al. (2018).  NetPyNE: a high-level interface to NEURON to facilitate the development, parallel simulation and analysis of data-driven multiscale network models. Computational Neuroscience Meeting (CNS 18').
Dura-Bernal, S., Suter B. A., Neymotin S. A., Kerr C. C., Quintana A., Gleeson P., et al. (2016).  NetPyNE: a Python package for NEURON to facilitate development and parallel simulation of biological neuronal networks. Computational Neuroscience Meeting (CNS 16').
Dura-Bernal, S., BA S., Kerr C. C., Quintana A., Gleeson P., Shepherd GMG., et al. (2016).  NetPyNE: a Python package for NEURON to facilitate development and parallel simulation of biological neuronal networks. Computational Neuroscience.
Dura-Bernal, S., Suter B. A., Gleeson P., Cantarelli M., Quintana A., Rodriguez F., et al. (2019).  NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 8, e44494.
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).
Kerr, C. C., O'Shea D. J., Goo W., Dura-Bernal S., Francis J. T., Diester I., et al. (2014).  Network-level effects of optogenetic stimulation in a computer model of macaque primary motor cortex. Computational Neuroscience Meeting (CNS 14').
Kerr, CC., O'Shea DJ., Goo W., Dura-Bernal S., Francis JT., Diester I., et al. (2014).  Network-level effects of optogenetic stimulation in a computer model of macaque primary motor cortex. BMC Neuroscience. 15, P107.
Park, E.., Neymotin S.., Lytton W.., & Fenton A.. A. (2009).  Neural discoordination of hippocampus and prefrontal cortex spike trains in a phencyclidine schizophrenia-related animal model. Society for Neuroscience 2009 (SFN '09).
Lytton, WW. (2006).  Neural query system: data-mining from within the NEURON simulator. Neuroinformatics. 4, 163-176.
Patoary, M. Nazrul Ish, Tropper C., Lin Z., McDougal R. A., & Lytton WW. (2014).  Neuron time warp. Simulation Conference (WSC), 2014 Winter. 3447–3458.
Patoary, M. Nazrul Ish, Tropper C., Lin Z., McDougal R. A., & Lytton WW. (2014).  Neuron time warp. Simulation Conference (WSC), 2014 Winter. 3447–3458.
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.
Seidenstein, A., Neymotin S. A., Fesharaki A., Hines M. L., Mcdougal R. A., Bulanova A. S., et al. (2015).  Neuronal network bump attractors augmented by calcium up-regulation of Ih in a multiscale computer model of prefrontal cortex. Society for Neuroscience 2015 (SFN '15).
Dura-Bernal, S., Gleeson P., Kerr C., Graham J., Quintana A., & Lytton WW. (2018).  Neurosim-lab/netpyne: v0.7.7.
Dura-Bernal, S., Suter B. A., Neymotin S. A., Quintana A., Gleeson P., Sheperd G. M. G., et al. (2015).  Normalized cortical depth (NCD) as a primary coordinate system for cell connectivity in cortex: experiment and model. Society for Neuroscience 2015 (SFN '15).
Lin, Z., Tropper C., Patoary M. Nazrul Ish, McDougal R. A., Lytton WW., & Hines M. L. (2015).  Ntw-mt: A multi-threaded simulator for reaction diffusion simulations in neuron. Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. 157–167.
Lin, Z., Tropper C., Patoary M. Nazrul Ish, McDougal R. A., Lytton WW., & Hines M. L. (2015).  Ntw-mt: A multi-threaded simulator for reaction diffusion simulations in neuron. Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. 157–167.
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Mcdougal, R. A., Lytton WW., & Hines M. L. (2011).  Object-oriented reaction-diffusion modeling in the neuron simulator. Society for Neuroscience 2011 (SFN '11).
Kerr, C., Choi J. S., Dura-Bernal S., Francis J. T., & Lytton WW. (2014).  One size does not fit all: Calibrating microstimulation to individual subjects using spiking network models. Society for Neuroscience 2014 (SFN '14).
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., 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.
Lytton, WW. (1996).  Optimizing synaptic conductance calculation for network simulations. ncomp. 8, 501-510.
Zhu, JJ., Uhlrich D., & Lytton WW. (1995).  Oscillations in Thalamic Interneurons. snabs. 21, 12.5.
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Migliore, M., Cannia C., Lytton WW., & Hines ML. (2006).  Parallel Network Simulations with NEURON. J. Computational Neuroscience. 6, 119-129.
Tropper, C., Zhongwei L., Mcdougal R. A., Hines M., & Lytton WW. (2015).  Parallel reaction-diffusion simulation in NEURON. Society for Neuroscience 2015 (SFN '15).
Patoary, M. Nazrul Ish, Tropper C., McDougal R. A., Lin Z., & Lytton W. W. (2019).  Parallel Stochastic Discrete Event Simulation of Calcium Dynamics in Neuron. IEEE/ACM Trans. Comput. Biol. Bioinform.. 16, 1007–1019.