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Dendro-plexing of Single Input Spikes via Multiple Synaptic Contacts Can Enhance Cortical Neuron Computation and Reduce Axonal Wiring

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Abstract

A cortical neuron typically makes multiple synaptic contacts on the dendrites of its postsynaptic target neuron. The functional implications of this apparent redundancy are unclear. Due to dendritic cable filtering, proximal dendritic synapses generate brief somatic postsynaptic potentials (PSPs) whereas distal synapses give rise to broader PSPs. Consequently, with multiple synaptic contacts, a single presynaptic spike results in a somatic PSP composed of multiple temporal profiles. We developed a "filter-and-fire" (F&F) neuron model that incorporates multiple contacts and cable filtering; it demonstrates a threefold increase in memory capacity as compared with a leaky integrate-and-fire (I&F) neuron, when trained to emit precisely timed spikes for specific input patterns. Furthermore, the F&F neuron can learn to recognize spatiotemporal input patterns, e.g., MNIST digits, where the I&F model completely fails. We conclude that "dendro-plexing" single input spikes by multiple synaptic contacts enriches the computational capabilities of cortical neurons and can dramatically reduce axonal wiring.

Original languageEnglish
JournalJournal of Neuroscience
Volume46
Issue number17
DOIs
StatePublished - 29 Apr 2026

Bibliographical note

Publisher Copyright:
Copyright © 2026 the authors.

Keywords

  • biological learning
  • cable theory
  • compartmental models
  • computational neuroscience
  • dendritic computation
  • machine learning
  • neural code
  • synaptic integration

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