Lab Publications

Found 52 results
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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.
Neymotin, S., Lee HY., Fenton AA., & Lytton WW. (2010).  Interictal EEG Discoordination in a Rat Seizure Model. J Clin Neurophysiol. 27, 438–444.
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).
Neymotin, S., Hilscher MM., Moulin TC., Skolnick Y., Lazarewicz MT., & Lytton WW. (2013).  Ih Tunes theta/gamma oscillations and cross-frequency coupling in an in silico CA3 model. PLoS One. 8, e76285.
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, 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.
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., Uhlrich DJ., Manning KA., & Lytton WW. (2008).  Data mining of time-domain features from neural extracellular field data. Studies in Computational Intelligence. 151, 119-140.
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., Lytton WW., O'Connell MN., & Lakatos P. (2013).  Dynamical microstates in primary auditory cortex. Society for Neuroscience Abstracts. 43,
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, 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.
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., McDougal R. A., Bulanova AS., Zeki M., Lakatos P., Terman D., et al. (2016).  Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortex. Neurosci. 316, 344-366.
Neymotin, SA., H L., AA F., & Lytton WW. (2010).  Interictal EEG discoordination in a rat seizure model. Statistical Analysis of Neuronal Data.
Neymotin, S. A., Fenton A. A., & Lytton WW. (2010).  Recurrence of correlation structure in hippocampal neuronal ensembles during spatial behavior. Society for Neuroscience 2010 (SFN '10).
Neymotin, S., Kerr CC., Francis JT., & Lytton WW. (2011).  Training oscillatory dynamics with spike-timing-dependent plasticity in a computer model of neocortex. 2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). 1–6.
Neymotin, S., Talbot ZN., Jung JQ., Fenton AA., & Lytton WW. (2017).  Tracking recurrence of correlation structure in neuronal recordings. J Neurosci Methods. 275, 1-9.
Neymotin, SA., Kerr CC., Chadderdon GL., Francis JT., & Lytton WW. (2011).  Restoring physiological oscillations using neuroprosthetic spike-timing-dependent plasticity in computer model of neocortex. Society for Neuroscience.
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., Uhlrich DJ., & WW L. (2008).  Virtual slice simulation of resonance in a layered cortical model. socns. 769, 25.
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).
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,
Neymotin, SA., Uhlrich DJ., & Lytton WW. (2008).  Virtual slice simulation of resonance in a layered cortical model. Society for Neuroscience.
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. A., Jacobs K. M., & Lytton WW. (2009).  Information transmission vs processing in computer models of neocortical columns. Society for Neuroscience 2009 (SFN '09).
Neymotin, S., McDougal R. A., Hines ML., & Lytton WW. (2014).  Calcium regulation of HCN supports persistent activity associated with working memory: a multiscale model of prefrontal cortex. BMC Neuroscience. 15, P108.
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., Chadderdon G. L., Kerr C. C., Francis J. T., & Lytton W. W. (2012).  Reinforcement learning of 2-joint virtual arm reaching in motor cortex simulation. Computational Neuroscience Meeting (CNS '12).
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, S. A., Lytton WW., Oconnell M. N., & Lakatos P. (2013).  Dynamical microstates in primary auditory cortex. Society for Neuroscience 2013 (SFN '13).
Neymotin, S., Lytton WW., Olypher AO., & AA F. (2011).  Measuring the quality of neuronal identification in ensemble recordings. jnsci. 31, 16398–16409.
Neymotin, SA., Olypher AV., Kao HY., Kelemen E., Jozwicka AE., Lytton WW., et al. (2008).  Standardized assessment of extracellular single unit isolation quality. Society for Neuroscience.
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, S., Lee HY., Park EH., Fenton AA., & Lytton WW. (2011).  Emergence of physiological oscillation frequencies in a computer model of neocortex. Front Comput Neurosci. 5, 19.
Neymotin, S., Taxin ZH., Mohan A., & Lipton P. (2013).  Brain Ischemia and Stroke. (Jaeger, D., & Jang R., Ed.).Encyclopedia of Computational Neuroscience.
Neymotin, S.. A., Barczak A.., Oconnell M.. N., Mcginnis T.., Markowitz N.., Espinal E.., et al. (2019).  Tracking rhythmicity of neural oscillations in the auditory thalamocortical system. Society for Neuroscience 2019 (SFN '19).
Neymotin, S., Mathew A.M.., Kerr C.., & Lytton WW. (2013).  Computational Neuroscience of Neuronal Networks. (Pfaff, D., Ed.).
Neymotin, SA., Wester JC., Contreras D., & Lytton WW. (2011).  Simulating the spread of activation in neocortical circuits. Computational Neuroscience. Computational Neuroscience.
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., 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. A., Chadderdon G. L., Kerr C. C., Francis J. T., & Lytton WW. (2012).  Reinforcement learning of 2-joint virtual arm reaching in computer model of sensory and motor cortex. Society for Neuroscience 2012 (SFN '12).
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.
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., 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).
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, 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. 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., 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, AJH., & Lytton WW. (2017).  Computer modeling of ischemic stroke. Drug Discov Today: Dis Model. 30, In press.
Neville, K., & Lytton WW. (1999).  Potentiation of Ca influx through NMDA channels by action potentials: a computer model. Neuroreport. 10, 3711-3716.