The evolution and development of neural superposition

Egemen Agi, Marion Langen, Steven J. Altschuler, Lani F. Wu, Timo Zimmermann, Peter Robin Hiesinger

Research output: Contribution to journalReview articlepeer-review

27 Scopus citations

Abstract

Visual systems have a rich history as model systems for the discovery and understanding of basic principles underlying neuronal connectivity. The compound eyes of insects consist of up to thousands of small unit eyes that are connected by photoreceptor axons to set up a visual map in the brain. The photoreceptor axon terminals thereby represent neighboring points seen in the environment in neighboring synaptic units in the brain. Neural superposition is a special case of such a wiring principle, where photoreceptors from different unit eyes that receive the same input converge upon the same synaptic units in the brain. This wiring principle is remarkable, because each photoreceptor in a single unit eye receives different input and each individual axon, among thousands others in the brain, must be sorted together with those few axons that have the same input. Key aspects of neural superposition have been described as early as 1907. Since then neuroscientists, evolutionary and developmental biologists have been fascinated by how such a complicated wiring principle could evolve, how it is genetically encoded, and how it is developmentally realized. In this review article, we will discuss current ideas about the evolutionary origin and developmental program of neural superposition. Our goal is to identify in what way the special case of neural superposition can help us answer more general questions about the evolution and development of genetically "hard-wired" synaptic connectivity in the brain.

Original languageEnglish (US)
Pages (from-to)216-232
Number of pages17
JournalJournal of Neurogenetics
Volume28
Issue number3-4
DOIs
StatePublished - Dec 1 2014

Keywords

  • Brain wiring
  • Drosophila
  • Synapse
  • Visual System

ASJC Scopus subject areas

  • Genetics
  • Cellular and Molecular Neuroscience

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