Lab Publications
Found 151 results
Author Title [ Type] Year Filters: First Letter Of Last Name is S [Clear All Filters]
Unmasking unmasked: Neural dynamics following stroke.
Progress in Brain Research. 121, 203-218.
(1999).
(2018). Simulations of synaptic potentials using realistic models of hippocampal pyramidal neurons.
163, 18.
(1991).
(1991). Simulation neurotechnologies for advancing brain research: parallelizing large networks in NEURON.
Neural Comput. 28, 2063-2090.
(2016). Simulation neurotechnologies for advancing brain research: parallelizing large networks in NEURON.
Neural Comput. 28, 2063-2090.
(2016). A rule-based firing model for neural networks.
Int. J. for Bioelectromagnetism. 7, 47-50.
(2005). Rule-based firing for network simulations.
Neurocomputing. 69, 1160-1164.
(2006). Receptive field changes following stroke-like cortical ablation: a role for activation dynamics.
jnphys. 78, 3438-3443.
(1997). Receptive field changes following stroke-like cortical ablation: a role for activation dynamics.
jnphys. 78, 3438-3443.
(1997). Reaction-diffusion modeling in the NEURON simulator.
BMC Neuroscience. 13, P119.
(2012). Reaction-diffusion modeling in the NEURON simulator.
BMC Neuroscience. 13, P119.
(2012). Perisaccadic parietal and occipital gamma power in light and in complete darkness.
Perception. 37, 419-432.
(2008). Perisaccadic parietal and occipital gamma power in light and in complete darkness.
Perception. 37, 419-432.
(2008). Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.
J Neurophysiol. 117, 148-162.
(2017). Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.
J Neurophysiol. 117, 148-162.
(2017). Optimization by Adaptive Stochastic Descent.
PLOS ONE. 13, 1-16.
(2018). Neuronal calcium wave propagation varies with changes in endoplasmic reticulum parameters: a computer model.
Neural Comput. 27, 898–924.
(2015). Network-level effects of optogenetic stimulation in a computer model of macaque primary motor cortex.
BMC Neuroscience. 15, P107.
(2014). NetPyNE, a tool for data-driven multiscale modeling of brain circuits.
eLife. 8, e44494.
(2019). NetPyNE, a tool for data-driven multiscale modeling of brain circuits.
eLife. 8, e44494.
(2019). Multitarget multiscale simulation for pharmacological treatment of dystonia in motor cortex.
Front Pharmacol. 7, 157.
(2016). Multiscale modeling in the clinic: diseases of the brain and nervous system.
Brain Inform. 4, 219-230.
(2017). Multiscale modeling in the clinic: diseases of the brain and nervous system.
Brain Inform. 4, 219-230.
(2017). Multiscale modeling in the clinic: diseases of the brain and nervous system.
Brain Inform. 4, 219-230.
(2017). Motor cortex microcircuit simulation based on brain activity mapping.
Neural Comput. 26, 1239–1262.
(2014). Motor cortex microcircuit simulation based on brain activity mapping.
Neural Comput. 26, 1239–1262.
(2014). Measurement of peripheral vision reaction time identifies white matter disruption in patients with mild traumatic brain injury.
J Neurotrauma.
(2017). Measurement of peripheral vision reaction time identifies white matter disruption in patients with mild traumatic brain injury.
J Neurotrauma.
(2017).
(2018).
(2018). Local axon collaterals of area ca1 support spread of epileptiform discharges within CA1, but propagation is unidirectional.
Hippocampus. 18, 1021-1033.
(2008). Ketamine disrupts theta modulation of gamma in a computer model of hippocampus.
J Neurosci. 31, 11733-11743.
(2011). Information flow in optogenetically stimulated macaque motor cortex: simulation and experiment.
Neural Control of Movement (NCM) meeting.
(2014). Impaired dendritic inhibition leads to epileptic activity in a computer model of CA3.
Hippocampus. in press.
(2015). Ih Tunes theta/gamma oscillations and cross-frequency coupling in an in silico CA3 model.
PLoS One. 8, e76285.
(2013). Geppetto: a reusable modular open platform for exploring neuroscience data and models.
Phil. Trans. R. Soc. B. 373, 20170380.
(2018). Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis.
IBM Journal of Research and Development. 61, 6–1.
(2017). Dynamically repairing and replacing neural networks: using hybrid computational and biological tools.
{IEEE} Pulse. 3, 57-59.
(2012). Dynamic interactions determine partial thalamic quiescence in a computer network model of spike-and-wave seizures.
jnphys. 77, 1679-1696.
(1997).
(2002). Data mining through simulation.
Methods Mol Biol. 401, 155-166.
(2007). Cortical plasticity induced by spike-triggered microstimulation in primate somatosensory cortex.
PLoS One. 8, e57453.
(2013). Control of slow oscillations in the thalamocortical neuron: A computer model.
Neuroscience. 70, 673-684.
(1996). Computer simulations of EPSP-to-spike (E-S) potentiation in hippocampal CA1 pyramidal cells.
12, 607-618.
(1992). Computer simulation of epilepsy: implications for seizure spread and behavioral dysfunction.
Epilepsy & Behavior. 7, 336-344.
(2005). Computer network model of mossy fiber sprouting in dentate gyrus.
Epilepsia – AES Proceedings. 37 S. 5, 117.
(1996). Computer models of stroke recovery: Implications for neurorehabilitation.
The Neuroscientist. 5, 100-111.
(1999). Computer models of stroke recovery: Implications for neurorehabilitation.
The Neuroscientist. 5, 100-111.
(1999). Computer Models of Hippocampal Circuit Changes of the Kindling Model of Epilepsy.
Artificial Intelligence in Medicine. 13, 81-98.
(1998). Computer modeling of ischemic stroke.
Scholarpedia. 10, 32015; revision \#148671; Accessed Oct 12, 2015.
(2015).
(1992). Computational Intelligence in Electrophysiology.
Studies in Computational Intelligence. 122, 325-359.
(2008). Color opponent receptive fields self-organize in a biophysical model of visual cortex via spike-timing dependent plasticity.
Front Neural Circuits. 8, 16.
(2014). Broadening of activity with flow across neural structures.
Perception. 37, 401-407.
(2008).
(2019).
(2019). Computational Neuroscience (CNS*2007).
BMC Neuroscience. 8, I1.
(2007). 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1.
BMC Neuroscience. 18, 58.
(2017). 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1.
BMC Neuroscience. 18, 58.
(2017). 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1.
BMC Neuroscience. 18, 58.
(2017). 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1.
BMC Neuroscience. 18, 58.
(2017). 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1.
BMC Neuroscience. 18, 58.
(2017). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016). 25th Annual Computational Neuroscience Meeting: CNS-2016.
BMC Neuroscience. 17, 54.
(2016).