Lab Publications

Found 151 results
Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is S  [Clear All Filters]
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 
2
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Sharpee, T. O., Destexhe A., Kawato M., Sekulić V., Skinner F. K., Wójcik D. K., et al. (2016).  25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17, 54.
Denham, S., Poirazi P., De Schutter E., Friston K., Chan H. Ka, Nowotny T., et al. (2017).  26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1. BMC Neuroscience. 18, 58.
Denham, S., Poirazi P., De Schutter E., Friston K., Chan H. Ka, Nowotny T., et al. (2017).  26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1. BMC Neuroscience. 18, 58.
Denham, S., Poirazi P., De Schutter E., Friston K., Chan H. Ka, Nowotny T., et al. (2017).  26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1. BMC Neuroscience. 18, 58.
Denham, S., Poirazi P., De Schutter E., Friston K., Chan H. Ka, Nowotny T., et al. (2017).  26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1. BMC Neuroscience. 18, 58.
Denham, S., Poirazi P., De Schutter E., Friston K., Chan H. Ka, Nowotny T., et al. (2017).  26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1. BMC Neuroscience. 18, 58.
A
Angulo, S. L., Henzi T., Neymotin S. A., Suarez M. D., Lytton W. W., Schwaller B., et al. (2019).  Amyloid pathology–produced unexpected modifications of calcium homeostasis in hippocampal subicular dendrites. Alzheimers. Dement..
Angulo, S. L., Henzi T., Neymotin S. A., Suarez M. D., Lytton W. W., Schwaller B., et al. (2019).  Amyloid pathology–produced unexpected modifications of calcium homeostasis in hippocampal subicular dendrites. Alzheimers. Dement..
B
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. 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).
Sherif, M., & Lytton WW. (2016).  Brain Diseases. (Arbib, MA., & Bonaiuto JJ., Ed.).From Neuron to Cognition Via Computational Neuroscience. 673-692.
Lytton, WW., Orman R., & Stewart M. (2008).  Broadening of activity with flow across neural structures. Perception. 37, 401-407.
C
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).
Eguchi, A., Neymotin S., & Stringer SM. (2014).  Color opponent receptive fields self-organize in a biophysical model of visual cortex via spike-timing dependent plasticity. Front Neural Circuits. 8, 16.
Günay, C., Smolinski TG., Lytton WW., Morse TM., Gleeson P., Crook S., et al. (2008).  Computational Intelligence in Electrophysiology. Studies in Computational Intelligence. 122, 325-359.
Lytton, WW., & Sejnowski TJ. (1992).  Computational Neuroscience. (Asbury, AK., McKhann GM., & McDonald WI., Ed.).Diseases of the Nervous System: Clinical Neurobiology.
Holmes, W. R., Jung R., & Skinner F. (2007).  Computational Neuroscience (CNS*2007). BMC Neuroscience. 8, I1.
Sherif, M. A., Skosnik P., Hajs M., & Lytton WW. (2015).  Computer model of endocannabinoid effects in CA3. Society for Neuroscience 2015 (SFN '15).
Sherif, M. A., Skosnik P., Hajs M., & Lytton WW. (2015).  Computer model of endocannabinoid effects in CA3. Society for Neuroscience 2015 (SFN '15).
Lytton, WW., & Sejnowski TJ. (1992).  Computer model of ethosuximide's effect on a thalamic neuron. 32, 131-139.
Seidenstein, AH., Barone FC., & Lytton WW. (2015).  Computer modeling of ischemic stroke. Scholarpedia. 10, 32015; revision \#148671; Accessed Oct 12, 2015.
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., Stark JM., Yamasaki DS., & Sober SJ. (1999).  Computer models of stroke recovery: Implications for neurorehabilitation. The Neuroscientist. 5, 100-111.
Lytton, WW., Stark JM., Yamasaki DS., & Sober SJ. (1999).  Computer models of stroke recovery: Implications for neurorehabilitation. The Neuroscientist. 5, 100-111.
Lytton, WW., Hellman KM., & Sutula TP. (1996).  Computer network model of mossy fiber sprouting in dentate gyrus. Epilepsia – AES Proceedings. 37 S. 5, 117.
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., Orman R., & Stewart M. (2005).  Computer simulation of epilepsy: implications for seizure spread and behavioral dysfunction. Epilepsy & Behavior. 7, 336-344.
Wathey, JC., Lytton WW., Jester JM., & Sejnowski TJ. (1992).  Computer simulations of EPSP-to-spike (E-S) potentiation in hippocampal CA1 pyramidal cells. 12, 607-618.
Lytton, WW., Destexhe A., & Sejnowski TJ. (1996).  Control of slow oscillations in the thalamocortical neuron: A computer model. Neuroscience. 70, 673-684.
Song, W., Kerr CC., Lytton WW., & Francis JT. (2013).  Cortical plasticity induced by spike-triggered microstimulation in primate somatosensory cortex. PLoS One. 8, e57453.
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., 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).
D
Lytton, WW., & Stewart M. (2007).  Data mining through simulation. Methods Mol Biol. 401, 155-166.
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).
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).
Lytton, WW., & Stewart M. (2002).  Dendritic resonance in in subicular dendrites, a computer model. 28,
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.
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.
Sanchez, J., Lytton WW., Carmena J., Principe J., Fortes J., Barbour R., et al. (2012).  Dynamically repairing and replacing neural networks: using hybrid computational and biological tools. {IEEE} Pulse. 3, 57-59.
E
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).
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.
Dura-Bernal, S., Neymotin S., Kerr CC., Sivagnanam S., Majumdar A., Francis JT., et al. (2017).  Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM Journal of Research and Development. 61, 6–1.
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').
G
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,
Cantarelli, M., Marin B., Quintana A., Earnshaw M., Gleeson P., Dura-Bernal S., et al. (2018).  Geppetto: a reusable modular open platform for exploring neuroscience data and models. Phil. Trans. R. Soc. B. 373, 20170380.
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').
I
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').
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.
Sanjay, M., Neymotin S., & Babu KS. (2015).  Impaired dendritic inhibition leads to epileptic activity in a computer model of CA3. Hippocampus. in press.
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').
Kerr, C. C., O'Shea D. J., Goo W., Dura-Bernal S., Diester I., Kalanithi P., et al. (2014).  Information flow in optogenetically stimulated macaque motor cortex: simulation and experiment. Neural Control of Movement (NCM) meeting.