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Global and multiplexed dendritic computations under in vivo-like conditions (Ujfalussy et al 2018)
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Model Information
Model File
Citations
Accession:
265511
"The input-output transformation of neurons under in vivo conditions is unknown. Ujfalussy et al. use a model-based approach to show that linear integration with a single global dendritic nonlinearity can accurately predict the response of neurons to naturalistic synaptic input patterns."
Reference:
1 .
Ujfalussy BB, Makara JK, Lengyel M, Branco T (2018) Global and Multiplexed Dendritic Computations under In Vivo-like Conditions.
Neuron
100
:579-592.e5
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):
Neocortex L2/3 pyramidal GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
AMPA;
NMDA;
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON (web link to model);
Python (web link to model);
R (web link to model);
Model Concept(s):
Detailed Neuronal Models;
Simplified Models;
Implementer(s):
Ujfalussy, Balázs B. [balazs.ujfalussy at gmail.com];
Search NeuronDB
for information about:
Neocortex L2/3 pyramidal GLU cell
;
AMPA
;
NMDA
;
(located via links below)
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