Impact of dendritic non-linearities on the computational capabilities of neurons

Abstract excerpt

Multiple neurophysiological experiments have shown that dendritic non-linearities can have a strong influence on synaptic input integration. In this work we model a single neuron as a two-layer computational unit with non-overlapping sign-constrained synaptic weights and a biologically plausible form of dendritic non-linearity, which is analytically tractable using statistical physics methods. Using both analytica...

Topics

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• Action Potentials
• Central Nervous System
• Data Interpretation, Statistical
• Databases, Factual
• Hippocampus
• Models, Neurological
• Neurons
• Phenotype

Identifiers and source

Literature Corpus work

580fd6be-ee9e-53ce-b49d-3189d85a3b4a

DOI

10.1101/2024.06.24.600504