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The virtual slice setup (Lytton et al. 2008)
 
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Accession:
116838
"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. ..."
Reference:
1 .
Lytton WW, Neymotin SA, Hines ML (2008) The virtual slice setup.
J Neurosci Methods
171
:309-15
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Extracellular;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Implementer(s):
Lytton, William [bill.lytton at downstate.edu];
Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org];
/
b09jan08
README.html
intf_.mod
misc.mod
*
Other models using misc.mod:
Computational Surgery (Lytton et al. 2011)
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)
NEURON interfaces to MySQL and the SPUD feature extraction algorithm (Neymotin et al. 2008)
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
nstim.mod
*
Other models using nstim.mod:
Computational Surgery (Lytton et al. 2011)
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007)
stats.mod
vecst.mod
misc.h
mosinit.hoc
screenshot.jpg
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