The development of retinotectal maps: A review of models based on molecular gradients

Goodhill, Geoffrey J. and Xu, Jun (2005) The development of retinotectal maps: A review of models based on molecular gradients. Network-computation In Neural Systems, 16 1: 5-34. doi:10.1080/09548980500254654


Author Goodhill, Geoffrey J.
Xu, Jun
Title The development of retinotectal maps: A review of models based on molecular gradients
Journal name Network-computation In Neural Systems   Check publisher's open access policy
ISSN 0954-898X
Publication date 2005
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1080/09548980500254654
Volume 16
Issue 1
Start page 5
End page 34
Total pages 30
Editor Geoffrey G. Goodhill
Place of publication London, United Kingdom
Publisher Informa Healthcare
Collection year 2005
Language eng
Subject 239901 Biological Mathematics
780101 Mathematical sciences
Abstract Information about the world is often represented in the brain in the form of topographic maps. A paradigm example is the topographic representation of the visual world in the optic tectum/superior colliculus. This map initially forms during neural development using activity-independent molecular cues, most notably some type of chemospecific matching between molecular gradients in the retina and corresponding gradients in the tectum/superior colliculus. Exactly how this process might work has been studied both experimentally and theoretically for several decades. This review discusses the experimental data briefly, and then in more detail the theoretical models proposed. The principal conclusions are that (1) theoretical models have helped clarify several important ideas in the field, (2) earlier models were often more sophisticated than more recent models, and (3) substantial revisions to current modelling approaches are probably required to account for more than isolated subsets of the experimental data.
Keyword Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Neurosciences
Topographic Maps
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Excellence in Research Australia (ERA) - Collection
2006 Higher Education Research Data Collection
Queensland Brain Institute Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 31 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 23 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 15 Aug 2007, 07:03:54 EST