Lab Publications

Found 99 results
Author Title Type [ Year(Desc)]
Filters: First Letter Of Last Name is D  [Clear All Filters]
2018
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).
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.
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).
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).
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').
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., 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., Gleeson P., Kerr C., Graham J., Quintana A., & Lytton WW. (2018).  Neurosim-lab/netpyne: v0.7.7.
Gleeson, P., Cantarelli M., Marin B., Quintana A., Earnshaw M., Piasini E., et al. (2018).  Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits. bioRxiv. 229484.
Kerr, C. C., Dura-Bernal S., Smolinski T. G., Chadderdon G. L., & Wilson D. P. (2018).  Optimization by Adaptive Stochastic Descent. PLOS ONE. 13, 1-16.
Gao, P., Graham J., Angulo S., Dura-Bernal S., Hines M., Lytton W. W., et al. (2018).  Recruitment of neurons into neural ensembles based on dendritic plateau potentials. Computational Neuroscience Meeting (CNS 18').
Gao, P. P., Graham J. W., Angulo S. L., Dura-Bernal S., Hines M. L., Lytton WW., et al. (2018).  Recruitment of neurons into neural ensembles based on dendritic plateau potentials. Society for Neuroscience 2018 (SFN '18).
Doherty, D., Sivagnanam S., Dura-Bernal S., & Lytton W. W. (2018).  Simulation of avalanches in mouse primary motor cortex (M1). Computational Neuroscience Meeting (CNS 18').
Doherty, D., Sivagnanam S., Dura-Bernal S., & Lytton W. W. (2018).  Simulation of avalanches in mouse primary motor cortex (M1). Computational Neuroscience Meeting (CNS 18').
2019
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).
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).
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).
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).
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).
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.
Dura-Bernal, S.., Neymotin S.. A., Suter B.. A., Kelley C.., Tekin R.., Shepherd G.. M., et al. (2019).  Response to simultaneous long-range inputs and oscillatory inputs in a multiscale model of M1 microcircuits. Society for Neuroscience 2019 (SFN '19).
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).