Lab Publications
Found 68 results
Author Title Type [ Year] Filters: First Letter Of Last Name is C [Clear All Filters]
Efficient in silico 3D intracellular neuron simulation.
Society for Neuroscience 2019 (SFN '19).
(2019). 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). 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,
(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,
(2018). Geppetto: a reusable modular open platform for exploring neuroscience data and models.
Phil. Trans. R. Soc. B. 373, 20170380.
(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).
(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').
(2018). Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits.
bioRxiv. 229484.
(2018). Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits.
bioRxiv. 229484.
(2018). Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits.
bioRxiv. 229484.
(2018). Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits.
bioRxiv. 229484.
(2018). Optimization by Adaptive Stochastic Descent.
PLOS ONE. 13, 1-16.
(2018). 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). 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). Geppetto: an open source visualisation and simulation platform for neuroscience.
Computational Neuroscience Meeting (CNS 17').
(2017). Geppetto: an open source visualisation and simulation platform for neuroscience.
Computational Neuroscience Meeting (CNS 17').
(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). A set of curated cortical models at multiple scales on Open Source Brain.
Computational Neuroscience Meeting (CNS 16').
(2016). Spiking network modeling of neuronal dynamics in individual rats.
BMC Neuroscience.
(2015). Motor cortex microcircuit simulation based on brain activity mapping.
Neural Comput. 26, 1239–1262.
(2014). Neocortical simulation for epilepsy surgery guidance: localization and intervention.
(Bass, B., & Garbey M., Ed.).Computational Surgery and Dual Training. 339–349.
(2014). One size does not fit all: Calibrating microstimulation to individual subjects using spiking network models.
Society for Neuroscience 2014 (SFN '14).
(2014). Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm.
Pattern Recognit Lett. 36, 204–212.
(2014). Cortical information flow in Parkinson's disease: a composite network/field model.
Front Comput Neurosci. 7, 39.
(2013). Interfacing a biomimetic model of sensorimotor cortex with a musculoskeletal model and a robotic arm.
Society for Neuroscience 2013 (SFN '13).
(2013). Multiscale modeling of cortical information flow in Parkinson's disease.
Computational Neuroscience Meeting (CNS '13).
(2013). Network-level coincidence detection in a computer simulation of primary motor cortex.
Society for Neuroscience 2013 (SFN '13).
(2013). Reinforcement learning of 2-joint virtual arm reaching in computer model of sensorimotor cortex.
Neural Comput. 25, 3263–3293.
(2013). Virtual musculoskeletal arm and robotic arm driven by a biomimetic model of sensorimotor cortex with reinforcement learning.
Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE. 1-5.
(2013). Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex.
International Conference on Cognititve and Neural Systems 16.
(2012). Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex.
Society for Neuroscience.
(2012). Dynamically repairing and replacing neural networks: using hybrid computational and biological tools.
{IEEE} Pulse. 3, 57-59.
(2012). Effects of basal ganglia on cortical computation: A hybrid network/neural field model.
Society for Neuroscience 2012 (SFN '12).
(2012). Effects of basal ganglia on cortical computation: a hybrid network/neural field model.
Society for Neuroscience.
(2012). Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex.
IEEE Trans Neural Syst Rehab Eng. 20, 153–60.
(2012). Reinforcement learning of 2-joint virtual arm reaching in computer model of sensory and motor cortex.
Society for Neuroscience 2012 (SFN '12).
(2012). Reinforcement learning of 2-joint virtual arm reaching in detailed cortex simulation.
Neural Control of Movement.
(2012). Reinforcement learning of 2-joint virtual arm reaching in motor cortex simulation.
Computational Neuroscience Meeting (CNS '12).
(2012). Reinforcement Learning of Targeted Movement in a Spiking Neuronal Model of Motor Cortex.
PLoS One. 7, e47251.
(2012). Ketamine disrupts theta modulation of gamma in a computer model of hippocampus.
J Neurosci. 31, 11733-11743.
(2011). Restoring physiological oscillations using neuroprosthetic spike-timing-dependent plasticity in computer model of neocortex.
Society for Neuroscience.
(2011). Simulating the spread of activation in neocortical circuits. Computational Neuroscience.
Computational Neuroscience.
(2011).
(2011). Creating the synthetic brain through hybrid computational and biological systems repairing and replacing neural networks.
Society for Neuroscience 2010 (SFN '10).
(2010). Creating the synthetic brain through hybrid computational and biological systems repairing and replacing neural networks.
Society for Neuroscience 2010 (SFN '10).
(2010). Development of In Silico Brain for DARPA REPAIR project.
DARPA Neural Engineering, Science, and Technology Meeting.
(2010). Computer model of a theta-gamma dissociation in hippocampus.
Society for Neuroscience 2009 (SFN '09).
(2009). Computational Intelligence in Electrophysiology.
Studies in Computational Intelligence. 122, 325-359.
(2008). Parallel Network Simulations with NEURON.
J. Computational Neuroscience. 6, 119-129.
(2006). Alternating dominance of NMDA and AMPA for learning and recall: a computer model.
Neuroreport. 12, 2503-2507.
(2001). Brain organization: from molecules to parallel processing.
(Trimble, MR., & Cummings JL., Ed.).Contemporary Behavioral Neurology. 5-28.
(1997).
(1997).