Lab Publications

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Found 267 results
Author Title [ Type(Desc)] Year
Book Chapter
Sherif, M., & Lytton WW. (2016).  Brain Diseases. (Arbib, MA., & Bonaiuto JJ., Ed.).From Neuron to Cognition Via Computational Neuroscience. 673-692.
Neymotin, S., Taxin ZH., Mohan A., & Lipton P. (2013).  Brain Ischemia and Stroke. (Jaeger, D., & Jang R., Ed.).Encyclopedia of Computational Neuroscience.
Lytton, WW. (1997).  Brain organization: from molecules to parallel processing. (Trimble, MR., & Cummings JL., Ed.).Contemporary Behavioral Neurology. 5-28.
Lytton, WW., & Sejnowski TJ. (1992).  Computational Neuroscience. (Asbury, AK., McKhann GM., & McDonald WI., Ed.).Diseases of the Nervous System: Clinical Neurobiology.
Neymotin, S., Mathew A.M.., Kerr C.., & Lytton WW. (2013).  Computational Neuroscience of Neuronal Networks. (Pfaff, D., Ed.).
Lytton, WW., & Kerr C.. (2013).  Computational Neuroscience of Neurons and Synapses. (Pfaff, D., Ed.).
Neymotin, S., Sherif M. A., Jung J. Q., Kabariti J. J., & Lytton WW. (2018).  Genome-wide associations of schizophrenia studied with computer simulation. (Cutsuridis, V., Graham BP., Cobb S., & Vida I., Ed.).Hippocampal Microcircuits: A Computational Modeler's Resource Book. 2,
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., Stewart M., & Hines ML. (2008).  Simulation of large networks: technique and progress. (Soltesz, I., & Staley K., Ed.).Computational Neuroscience in Epilepsy. 3-17.
Conference Paper
Neymotin, S. A., Lee H., Park E., Fenton A. A., & Lytton W. W. (2010).  Altered information transfer in neuronal networks marks pathology. Computational Neuroscience Meeting (CNS 10').
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, S. A., Dura-Bernal S., Suter B. A., Lakatos P., Shepherd G. M. G., & Lytton WW. (2016).  Beta oscillations in neocortex: A multiscale modeling study. Society for Neuroscience 2016 (SFN '16).
Lytton, WW., & Drongelen W. (2015).  Beyond the canon: temporal and spatial multiscale organization in cortex. Computational Neuroscience Meeting Workshop.
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. 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., Hines M. L., & Lytton WW. (2014).  Calcium 'impedance mismatch' – the role of geometry on diffusion dynamics. Society for Neuroscience 2014 (SFN '14).
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. A., Mcdougal R. A., Hines M. L., & Lytton WW. (2014).  Calcium regulation of HCN supports persistent activity associated with working memory: A multiscale model of prefrontal cortex. Society for Neuroscience 2014 (SFN '14).
Sherif, M. A., Mcdougal R., Neymotin S., Hines M., & Lytton WW. (2013).  Calcium wave propagation varies with changes in endoplasmic reticulum parameters: A computer model. Society for Neuroscience 2013 (SFN '13).
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).
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.
Kerr, C., Dura-Bernal S., Menzies R. J., Mclauchlan C., Van Albada S. J., Kedziora D. J., et al. (2016).  Computational capacity as a function of network size. Society for Neuroscience 2016 (SFN '16).
Lazarewicz, M. T., Contreras D., Finkel L. H., & Lytton WW. (2009).  Computer model of a theta-gamma dissociation in hippocampus. Society for Neuroscience 2009 (SFN '09).
Sherif, M. A., Skosnik P., Hajs M., & Lytton WW. (2015).  Computer model of endocannabinoid effects in CA3. Society for Neuroscience 2015 (SFN '15).
Doherty, D.. W., Dura-Bernal S.., & Lytton W.. W. (2019).  Computer models of mouse area M1 show avalanches for full model and subcircuits defined by layer or cell type. Society for Neuroscience 2019 (SFN '19).
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).
Angulo, S., Graham J. W., Gao P., Dura-Bernal S., Neymotin S. A., Antic S. D., et al. (2017).  Cortical ensembles based on dendritic plateau generation in the prefrontal cortex. Society for Neuroscience 2017 (SFN '17).
Sherif, M. A., Barry J. M., Neymotin S. A., & Lytton WW. (2012).  CPP alters cross-frequency coupling between theta and gamma in CA1 in rats: Simulation and experiment. Society for Neuroscience 2012 (SFN '12).
Sherif, MA., Barry JM., Neymotin SA., & Lytton WW. (2012).  CPP alters hippocampal CA1 oscillations in rat: simulation and experiment. Computational Neuroscience.
Sherif, M. A., Barry J. M., Neymotin S. A., & Lytton W. W. (2012).  CPP alters theta/gamma oscillations in rat hippocampus: simulation and experiment. Computational Neuroscience Meeting (CNS 12').
Francis, J. T., Chapin J., Lytton WW., Barbour R., Carmena J., Principe J., et al. (2010).  Creating the synthetic brain through hybrid computational and biological systems repairing and replacing neural networks. Society for Neuroscience 2010 (SFN '10).
Dura-Bernal, S., Neymotin S. A., Suter B. A., Kelley C., Tekin R., Shepherd G. M. G., et al. (2019).  Cross-frequency coupling and information flow in a multiscale model of M1 microcircuits. Society for Neuroscience (SFN'19).
Dura-Bernal, S., Griffith E. Y., Marczak A., O'Connell N., McGinnis T., Lytton W. W., et al. (2019).  Data-driven model of auditory thalamocortical system rhythms. Society for Neuroscience (SFN '19).
Suter, B. A., Neymotin S. A., Shepherd G. M. G., & Lytton WW. (2016).  Dendritic morphology of corticospinal and crossed-corticostriatal neurons in mouse primary motor cortex. Society for Neuroscience 2016 (SFN '16).
Gao, P., Graham J. W., Angulo S., Dura-Bernal S., Lytton WW., & Antic S. D. (2017).  Dendritic plateau generation model in cortical pyramidal neurons: A link to cortical ensembles. Society for Neuroscience 2017 (SFN '17).
Kelley, C.., Dura-Bernal S.., Neymotin S.., & Lytton W.. W. (2019).  Dendritic resonance in a detailed model of pyramidal tract neuron of mouse primary motor cortex. Society for Neuroscience 2019 (SFN '19).
Kerr, CC., Fietkiewicz CT., Chadderdon GL., Neymotin SA., & Lytton WW. (2010).  Development of In Silico Brain for DARPA REPAIR project. DARPA Neural Engineering, Science, and Technology Meeting.
Fenton, A. A., Lee H., & Lytton WW. (2009).  Disinhibition can account for the neural discoordination associated with impaired cognitive control. Society for Neuroscience 2009 (SFN '09).
Chadderdon, GL., Neymotin SA., Kerr CC., Francis JT., & Lytton WW. (2012).  Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex. Society for Neuroscience.
Chadderdon, GL., Neymotin SA., Kerr CC., Francis JT., & Lytton WW. (2012).  Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex. International Conference on Cognititve and Neural Systems 16.
Dura-Bernal, S., Majumdar A., Neymotin S., Sivagnanam S., Francis J. T., & Lytton WW. (2015).  A dynamic data-driven approach to closed-loop neuroprosthetics based on multiscale biomimetic brain models. IEEE Interanationl Conference on High Performance Computing 2015 Workshop: InfoSymbiotics/Dynamic Data Driven Applications Systems (DDDAS) for Smarter Systems, Bangalore, India.
Neymotin, S. A., Lytton WW., Oconnell M. N., & Lakatos P. (2013).  Dynamical microstates in primary auditory cortex. Society for Neuroscience 2013 (SFN '13).
Dura-Bernal, S., Menzies R. J., McLauchlan C., van Albada S. J., Kedziora D. J., Neymotin S., et al. (2016).  Effect of network size on computational capacity. Computational Neuroscience Meeting (CNS 16').
Kerr, CC., van Albada SJ., Chadderdon GL., Neymotin SA., Robinson PA., & Lytton WW. (2012).  Effects of basal ganglia on cortical computation: a hybrid network/neural field model. Society for Neuroscience.
Kerr, C., Van Albada S. J., Neymotin S. A., Chadderdon G. L., Robinson P. A., & Lytton WW. (2012).  Effects of basal ganglia on cortical computation: A hybrid network/neural field model. Society for Neuroscience 2012 (SFN '12).
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).
Graham, J. W., Angulo S., Gao P. P., Dura-Bernal S., Sivagnanam S., Hines M.., et al. (2018).  Embedded ensemble encoding: A hypothesis for reconciling cortical coding strategies. Society for Neuroscience 2018 (SFN '18).
Neymotin, SA., H L., Park EH., AA F., & Lytton WW. (2010).  Emergent oscillations in neocortex: a simulation study. Dynamical Neuroscience XVIII: The Resting Brain: Not at Rest! Satellite meeting for Society for Neuroscience Meeting.
Dura-Bernal, S., Prins N., Neymotin S., Prasad A., Sanchez J., Francis JT., et al. (2014).  Evaluating Hebbian reinforcement learning BMI using an in silico brain model and a virtual musculoskeletal arm.. Neural Control of Movement.
Mcdougal, R. A., Tropper C., Hines M. L., & Lytton WW. (2016).  Expanding NEURON support for reaction-diffusion models. Society for Neuroscience 2016 (SFN '16).
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').
Cantarelli, M., Quintana A., Marin B., Earnshaw M., Gleeson P., Court R., et al. (2017).  Geppetto: an open source visualisation and simulation platform for neuroscience. Computational Neuroscience Meeting (CNS 17').
Kubie, J. L., Fenton A. A., Lytton WW., & Burgess N. (2009).  Grid-cell models for navigation and context discrimination. Society for Neuroscience 2009 (SFN '09).
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).
Dura-Bernal, S., Garreau G., Andreou C. M., Andreou A. G., Georgiou J., Wennekers T., et al. (2011).  Human Action Categorization Using Ultrasound Micro-Doppler Signatures. HBU.
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).
Doherty, D. W., Dura-Bernal S., Neymotin S. A., & Lytton WW. (2018).  Identifying avalanches in simulated mouse primary motor cortex (M1). Society for Neuroscience 2018 (SFN '18).
Hilscher, M. M., Moulin T., Skolnick Y., Lytton W. W., & Neymotin S. A. (2012).  Ih modulates theta rhythm and synchrony in computer model of CA3. Computational Neuroscience Meeting (CNS 12').
Tepper, Á., Sugi A., Lytton W. W., & Dura-Bernal S. (2018).  Implementation of Cmicrocircuits model in NetPyNE and exploration of the effect of neuronal/synaptic loss on memory recall. Computational Neuroscience Meeting (CNS 18').
Olypher, A. V., Fenton A. A., Lytton W. W., & Prinz A. A. (2009).  Information processing in homeostatically regulated hippocampal neurons. Society for Neuroscience 2009 (SFN '09).
Neymotin, S. A., Jacobs K. M., & Lytton WW. (2009).  Information transmission vs processing in computer models of neocortical columns. Society for Neuroscience 2009 (SFN '09).
Bulanova, AS., McDougal RA., Neymotin SA., Mutai V., Lytton WW., & Hines M. (2014).  Integrating Systems Biology Markup Language (SBML) with NEURON. Computational Neuroscience.
Bulanova, A. S., Mcdougal R. A., Neymotin S. A., Mutai V. K., Lytton WW., & Hines M. L. (2014).  Integrating Systems Biology Markup Language (SBML) with NEURON. Society for Neuroscience 2014 (SFN '14).
Hines, M. L., Mcdougal R., Neymotin S. A., Tropper C., & Lytton WW. (2013).  Interfaces in multiscale reaction-diffusion models in the NEURON simulator. Society for Neuroscience 2013 (SFN '13).
Dura-Bernal, S., Zhou X., Chadderdon G. L., Przekwas A., & Lytton WW. (2013).  Interfacing a biomimetic model of sensorimotor cortex with a musculoskeletal model and a robotic arm. Society for Neuroscience 2013 (SFN '13).
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.
Lytton, W. W., & Hines M. (2007).  Just-in-time connectivity for very large neuronal networks. Computational Neuroscience Meeting (CNS 07').
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).
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).
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).