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

"... 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. ..."

Model Type: Neuron or other electrically excitable cell

Receptors: NMDA

Model Concept(s): Stimulus selectivity

Simulation Environment: NEURON (web link to model); Python (web link to model)


Cazé RD, Jarvis S, Foust AJ, Schultz SR. (2017). Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity. Neural computation. 29 [PubMed]

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