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JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)
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Accession:
106891
This simulation is primarily an illustration and is not well optimized for actually running large networks. jitcon.mod contains a large amount of C level code, understanding of which requires some knowledge of Neuron internals
Reference:
1 .
Lytton WW, Omurtag A, Neymotin SA, Hines ML (2008) Just-in-time connectivity for large spiking networks.
Neural Comput
20
:2745-56
[
PubMed
]
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Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Epilepsy;
Implementer(s):
Lytton, William [bill.lytton at downstate.edu];
Files displayed below are from the
current
pre NEURON 7
implementation
/
b07dec27_20091025
readme.html
jitcon.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)
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)
The virtual slice setup (Lytton et al. 2008)
myexpsyn.mod
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)
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)
The virtual slice setup (Lytton et al. 2008)
Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007)
stats.mod
vecst.mod
batch_.hoc
bstick_net.hoc
misc.h
mosinit.hoc
screenshot.jpg
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