Dendrites enable a robust mechanism for neuronal stimulus selectivity (Caze et al 2017)


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Accession:230578
"... Using a multi-subunit nonlinear model, we demonstrate that stimulus selectivity can arise from the spatial distribution of synapses. We propose this as a general mechanism for information processing by neurons possessing dendritic trees. Moreover, we show that this implementation of stimulus selectivity increases the neuron's robustness to synaptic and dendritic failure. ..."
Reference:
1 . Cazé RD, Jarvis S, Foust AJ, Schultz SR (2017) Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity. Neural Comput 29:2511-2527 [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):
Channel(s):
Gap Junctions:
Receptor(s): NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON (web link to model); Python (web link to model);
Model Concept(s): Stimulus selectivity;
Implementer(s):
Search NeuronDB for information about:  NMDA;
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