Citation Relationships



Lytton WW, Neymotin SA, Hines ML (2008) The virtual slice setup. J Neurosci Methods 171:309-15 [PubMed]

  • The virtual slice setup (Lytton et al. 2008)

References and models cited by this paper

References and models that cite this paper

Carnevale NT, Hines ML (2006) The NEURON Book [Journal]

Efroni S, Harel D, Cohen IR (2005) Reactive animation: Realistic modeling of complex dynamic systems Computer 38:38-47

Efroni S, Harel D, Cohen IR (2007) Emergent dynamics of thymocyte development and lineage determination. PLoS Comput Biol 3:e13 [Journal] [PubMed]

Hereld M, Stevens RL, Lee HC, van Drongelen W (2007) Framework for interactive million-neuron simulation. J Clin Neurophysiol 24:189-96 [Journal] [PubMed]

Hines ML, Carnevale NT (2004) Discrete event simulation in the NEURON environment. Neurocomputing 58-60:1117-1122 [Journal]

  • Discrete event simulation in the NEURON environment (Hines and Carnevale 2004) [Model]

Lytton WW (2006) Neural Query System: Data-mining from within the NEURON simulator. Neuroinformatics 4:163-76 [Journal] [PubMed]

  • Neural Query System NQS Data-Mining From Within the NEURON Simulator (Lytton 2006) [Model]

Lytton WW, Hines M (2004) Hybrid neural networks--combining abstract and realistic neural units. Conf Proc IEEE Eng Med Biol Soc 6:3996-8 [Journal] [PubMed]

Lytton WW, Omurtag A (2007) Tonic-clonic transitions in computer simulation. J Clin Neurophysiol 24:175-81 [Journal] [PubMed]

  • Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007) [Model]

Lytton WW, Omurtag A, Neymotin SA, Hines ML (2008) Just-in-time connectivity for large spiking networks. Neural Comput 20:2745-56 [Journal] [PubMed]

  • JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008) [Model]

Lytton WW, Stewart M (2005) A rule-based firing model for neural networks Int J Bioelectromagn 7:47-50

Lytton WW, Stewart M (2006) Rule-based firing for network simulations. Neurocomputing 69:1160-1164

Lytton WW, Stewart M (2007) Data mining through simulation. Methods Mol Biol 401:155-66 [Journal] [PubMed]

Lytton WW, Stewart M, Hines ML (2008) Simulation of large networks: technique and progress Computational Neuroscience in Epilepsy, Soltesz I:Staley K, ed. pp.3

Markram H (2006) The blue brain project. Nat Rev Neurosci 7:153-60 [Journal] [PubMed]

Migliore M, Cannia C, Lytton WW, Markram H, Hines ML (2006) Parallel network simulations with NEURON. J Comput Neurosci 21:119-29 [Journal] [PubMed]

  • Parallel network simulations with NEURON (Migliore et al 2006) [Model]

ModelDB (2007) http:--senselab.med.yale.edu-senselab-ModelDB

Rowat PF, Selverston AI (1993) Modeling the gastric mill central pattern generator of the lobster with a relaxation-oscillator network. J Neurophysiol 70:1030-53 [Journal] [PubMed]

Web_site_neuron (2007) http:--www.neuron.yale.edu

Chadderdon GL, Mohan A, Suter BA, Neymotin SA, Kerr CC, Francis JT, Shepherd GM, Lytton WW (2014) Motor cortex microcircuit simulation based on brain activity mapping. Neural Comput 26:1239-62 [Journal] [PubMed]

  • Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014) [Model]

Chadderdon GL, Neymotin SA, Kerr CC, Lytton WW (2012) Reinforcement learning of targeted movement in a spiking neuronal model of motor cortex. PLoS One 7:e47251 [Journal] [PubMed]

  • Reinforcement learning of targeted movement (Chadderdon et al. 2012) [Model]

Dura-Bernal S, Li K, Neymotin SA, Francis JT, Principe JC, Lytton WW (2016) Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm. Front Neurosci 10:28 [Journal] [PubMed]

  • Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) [Model]

Dura-Bernal S, Zhou X, Neymotin SA, Przekwas A, Francis JT, Lytton WW (2015) Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Front Neurorobot 9:13 [Journal] [PubMed]

  • Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) [Model]

Kerr CC, Neymotin SA, Chadderdon GL, Fietkiewicz CT, Francis JT, Lytton WW (2012) Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex. IEEE Trans Neural Syst Rehabil Eng 20:153-60 [Journal] [PubMed]

  • Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012) [Model]

Kerr CC, Van Albada SJ, Neymotin SA, Chadderdon GL, Robinson PA, Lytton WW (2013) Cortical information flow in Parkinson's disease: a composite network/field model. Front Comput Neurosci 7:39 [Journal] [PubMed]

  • Composite spiking network/neural field model of Parkinsons (Kerr et al 2013) [Model]

Lytton WW, Neymotin SA, Wester JC, Contreras D (2011) Neocortical simulation for epilepsy surgery guidance: Localization and intervention Computational Surgery and Dual Training [Journal]

  • Computational Surgery (Lytton et al. 2011) [Model]

Lytton WW, Seidenstein AH, Dura-Bernal S, McDougal RA, Schürmann F, Hines ML (2016) Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural Comput 28:2063-90 [Journal] [PubMed]

  • Parallelizing large networks in NEURON (Lytton et al. 2016) [Model]

Neymotin SA, Chadderdon GL, Kerr CC, Francis JT, Lytton WW (2013) Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex. Neural Comput 25:3263-93 [Journal] [PubMed]

  • Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013) [Model]

Neymotin SA, Jacobs KM, Fenton AA, Lytton WW (2011) Synaptic information transfer in computer models of neocortical columns. J Comput Neurosci 30:69-84 [Journal] [PubMed]

  • Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010) [Model]

Neymotin SA, Lee H, Park E, Fenton AA, Lytton WW (2011) Emergence of physiological oscillation frequencies in a computer model of neocortex. Front Comput Neurosci 5:19 [Journal] [PubMed]

  • Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011) [Model]

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