Literature DB >> 18452996

The virtual slice setup.

William W Lytton1, Samuel A Neymotin, Michael L Hines.   

Abstract

In an effort to design a simulation environment that is more similar to that of neurophysiology, we introduce a virtual slice setup in the NEURON simulator. The virtual slice setup runs continuously and permits parameter changes, including changes to synaptic weights and time course and to intrinsic cell properties. The virtual slice setup permits shocks to be applied at chosen locations and activity to be sampled intra- or extracellularly from chosen locations. By default, a summed population display is shown during a run to indicate the level of activity and no states are saved. Simulations can run for hours of model time, therefore it is not practical to save all of the state variables. These, in any case, are primarily of interest at discrete times when experiments are being run: the simulation can be stopped momentarily at such times to save activity patterns. The virtual slice setup maintains an automated notebook showing shocks and parameter changes as well as user comments. We demonstrate how interaction with a continuously running simulation encourages experimental prototyping and can suggest additional dynamical features such as ligand wash-in and wash-out-alternatives to typical instantaneous parameter change. The virtual slice setup currently uses event-driven cells and runs at approximately 2 min/h on a laptop.

Mesh:

Year:  2008        PMID: 18452996      PMCID: PMC2398713          DOI: 10.1016/j.jneumeth.2008.03.005

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  9 in total

1.  Neural Query System: Data-mining from within the NEURON simulator.

Authors:  William W Lytton
Journal:  Neuroinformatics       Date:  2006

Review 2.  The blue brain project.

Authors:  Henry Markram
Journal:  Nat Rev Neurosci       Date:  2006-02       Impact factor: 34.870

3.  Parallel network simulations with NEURON.

Authors:  M Migliore; C Cannia; W W Lytton; Henry Markram; M L Hines
Journal:  J Comput Neurosci       Date:  2006-05-26       Impact factor: 1.621

4.  Hybrid neural networks--combining abstract and realistic neural units.

Authors:  William W Lytton; Michael Hines
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

Review 5.  Framework for interactive million-neuron simulation.

Authors:  Mark Hereld; Rick L Stevens; Hyong C Lee; Wim van Drongelen
Journal:  J Clin Neurophysiol       Date:  2007-04       Impact factor: 2.177

6.  Modeling the gastric mill central pattern generator of the lobster with a relaxation-oscillator network.

Authors:  P F Rowat; A I Selverston
Journal:  J Neurophysiol       Date:  1993-09       Impact factor: 2.714

7.  Just-in-time connectivity for large spiking networks.

Authors:  William W Lytton; Ahmet Omurtag; Samuel A Neymotin; Michael L Hines
Journal:  Neural Comput       Date:  2008-11       Impact factor: 2.026

8.  Tonic-clonic transitions in computer simulation.

Authors:  William W Lytton; Ahmet Omurtag
Journal:  J Clin Neurophysiol       Date:  2007-04       Impact factor: 2.177

9.  Emergent dynamics of thymocyte development and lineage determination.

Authors:  Sol Efroni; David Harel; Irun R Cohen
Journal:  PLoS Comput Biol       Date:  2006-12-11       Impact factor: 4.475

  9 in total
  10 in total

1.  Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON.

Authors:  William W Lytton; Alexandra H Seidenstein; Salvador Dura-Bernal; Robert A McDougal; Felix Schürmann; Michael L Hines
Journal:  Neural Comput       Date:  2016-08-24       Impact factor: 2.026

2.  Synaptic information transfer in computer models of neocortical columns.

Authors:  Samuel A Neymotin; Kimberle M Jacobs; André A Fenton; William W Lytton
Journal:  J Comput Neurosci       Date:  2010-06-17       Impact factor: 1.621

3.  Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex.

Authors:  Samuel A Neymotin; George L Chadderdon; Cliff C Kerr; Joseph T Francis; William W Lytton
Journal:  Neural Comput       Date:  2013-09-18       Impact factor: 2.026

4.  Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm.

Authors:  Salvador Dura-Bernal; George L Chadderdon; Samuel A Neymotin; Joseph T Francis; William W Lytton
Journal:  Pattern Recognit Lett       Date:  2014-01-15       Impact factor: 3.756

5.  Motor cortex microcircuit simulation based on brain activity mapping.

Authors:  George L Chadderdon; Ashutosh Mohan; Benjamin A Suter; Samuel A Neymotin; Cliff C Kerr; Joseph T Francis; Gordon M G Shepherd; William W Lytton
Journal:  Neural Comput       Date:  2014-04-07       Impact factor: 2.026

6.  Emergence of physiological oscillation frequencies in a computer model of neocortex.

Authors:  Samuel A Neymotin; Heekyung Lee; Eunhye Park; André A Fenton; William W Lytton
Journal:  Front Comput Neurosci       Date:  2011-04-19       Impact factor: 2.380

7.  Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm.

Authors:  Salvador Dura-Bernal; Kan Li; Samuel A Neymotin; Joseph T Francis; Jose C Principe; William W Lytton
Journal:  Front Neurosci       Date:  2016-02-09       Impact factor: 4.677

8.  Reinforcement learning of targeted movement in a spiking neuronal model of motor cortex.

Authors:  George L Chadderdon; Samuel A Neymotin; Cliff C Kerr; William W Lytton
Journal:  PLoS One       Date:  2012-10-19       Impact factor: 3.240

9.  Cortical information flow in Parkinson's disease: a composite network/field model.

Authors:  Cliff C Kerr; Sacha J Van Albada; Samuel A Neymotin; George L Chadderdon; P A Robinson; William W Lytton
Journal:  Front Comput Neurosci       Date:  2013-04-25       Impact factor: 2.380

10.  Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm.

Authors:  Salvador Dura-Bernal; Xianlian Zhou; Samuel A Neymotin; Andrzej Przekwas; Joseph T Francis; William W Lytton
Journal:  Front Neurorobot       Date:  2015-11-25       Impact factor: 2.650

  10 in total

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