Global and multiplexed dendritic computations under in vivo-like conditions (Ujfalussy et al 2018)


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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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