Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-28T21:00:41.199Z Has data issue: false hasContentIssue false
  • English
  • Français

Retinocollicular mapping explained?

Published online by Cambridge University Press:  23 August 2013

DAVID C. STERRATT  and
J.J. JOHANNES HJORTH
DAVID C. STERRATT*
Affiliation:
Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK
J.J. JOHANNES HJORTH
Affiliation:
Cambridge Computational Biology Institute, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, UK
*
†Address correspondence to: David C. Sterratt, Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK. E-mail: david.c.sterratt@ed.ac.uk
Get access Rights & Permissions [Opens in a new window]

Abstract

We review and comment on the recent model of Grimbert and Cang of the development of topographically ordered maps from the retina to the superior colliculus. This model posits a phase in which arbors are created in zones permitted by Eph and ephrin signaling, followed by a phase in which activity-dependent synaptic plasticity refines the map. We show that it is not possible to generate the arborization probability functions used in the simulations of Grimbert and Cang using gradients of Ephs and ephrins and the interaction mechanism that Grimbert and Cang propose in their results. Furthermore, the arborization probabilities we do generate are far less sharp than we imagine truly “permissive” ones would be. It remains to be seen if maps can be generated from the nonpermissive arborization probabilities generated from gradients.

Keywords

Visual systemTopographyComputational modelingChemoaffinityRetinal waves
Type
Commentary
Information
Visual Neuroscience , Volume 30 , Issue 4 , July 2013 , pp. 125 - 128
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Brown, A., Yates, P.A., Burrola, P., Ortuño, D., Vaidya, A., Jessell, T.M., Pfaff, S.L., O’Leary, D.D. & Lemke, G. (2000). Topographic mapping from the retina to the midbrain is controlled by relative but not absolute levels of EphA receptor signaling. Cell 102, 77–88.CrossRefGoogle Scholar
Cang, J. & Feldheim, D.A. (2013). Developmental mechanisms of topographic map formation and alignment. Annual Review of Neuroscience 36, 51–77.CrossRefGoogle ScholarPubMed
Feldheim, D.A. & O’Leary, D.D. (2010). Visual map development: Bidirectional signaling, bifunctional guidance molecules, and competition. Cold Spring Harbor Perspectives in Biology 2, a001768.CrossRefGoogle ScholarPubMed
Fraser, S.E. & Perkel, D.H. (1990). Competitive and positional cues in the patterning of nerve connections. Journal of Neurobiology 21, 51–72.CrossRefGoogle ScholarPubMed
Gierer, A. (1983). Model for the retino-tectal projection. Proceedings of the Royal Society of London. Series B, Biological Sciences 218, 77–93.Google ScholarPubMed
Godfrey, K.B., Eglen, S.J. & Swindale, N.V. (2009). A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth. PLoS Computational Biology 5, e1000600.CrossRefGoogle ScholarPubMed
Goodhill, G.J. & Xu, J. (2005). The development of retinotectal maps: A review of models. Network: Computation in Neural Systems 16, 5–34.CrossRefGoogle ScholarPubMed
Grimbert, F. & Cang, J. (2012). New model of retinocollicular mapping predicts the mechanisms of axonal competition and explains the role of reverse molecular signaling during development. The Journal of Neuroscience 32, 9755–9768.CrossRefGoogle ScholarPubMed
Lim, Y.S., McLaughlin, T., Sung, T.C., Santiago, A., Lee, K.F. & O’Leary, D.D. (2008). p75(NTR) mediates ephrin-A reverse signaling required for axon repulsion and mapping. Neuron 59, 746–758.CrossRefGoogle ScholarPubMed
Prestige, M.C. & Willshaw, D.J. (1975). On a role for competition in the formation of patterned neural connexions. Proceedings of the Royal Society of London. Series B, Biological Sciences 190, 77–98.Google ScholarPubMed
Rashid, T., Upton, A.L., Blentic, A., Ciossek, T., Knöll, B., Thompson, I.D. & Drescher, U. (2005). Opposing gradients of ephrin-As and EphA7 in the superior colliculus are essential for topographic mapping in the mammalian visual system. Neuron 47, 57–69.CrossRefGoogle ScholarPubMed
Reber, M., Burrola, P. & Lemke, G. (2004). A relative signalling model for the formation of a topographic neural map. Nature 431, 847–853.CrossRefGoogle ScholarPubMed
Simpson, H.D. & Goodhill, G.J. (2011). A simple model can unify a broad range of phenomena in retinotectal map development. Biological Cybernetics 104, 9–29.CrossRefGoogle ScholarPubMed
Torborg, C.L. & Feller, M.B. (2005). Spontaneous patterned retinal activity and the refinement of retinal projections. Progress in Neurobiology 76, 213–235.CrossRefGoogle ScholarPubMed
Triplett, J.W., Pfeiffenberger, C., Yamada, J., Stafford, B.K., Sweeney, N. T., Litke, A.M., Sher, A., Koulakov, A.A. & Feldheim, D.A. (2011). Competition is a driving force in topographic mapping. Proceedings of the National Academy of Sciences of the United States of America 108, 19060–19065.CrossRefGoogle ScholarPubMed
Tsigankov, D. & Koulakov, A.A. (2010). Sperry versus Hebb: Topographic mapping in Isl2/EphA3 mutant mice. BMC Neuroscience 11, 155.CrossRefGoogle ScholarPubMed
Whitelaw, V.A. & Cowan, J.D. (1981). Specificity and plasticity of retinotectal connections: A computational model. The Journal of Neuroscience 1, 1369–1387.CrossRefGoogle ScholarPubMed
Willshaw, D.J. (2006). Analysis of mouse EphA knockins and knockouts suggests that retinal axons programme target cells to form ordered retinotopic maps. Development 133, 2705–2717.CrossRefGoogle ScholarPubMed
Willshaw, D.J. & von der Malsburg, C. (1976). How patterned neural connections can be set up by self-organization. Proceedings of the Royal Society of London. Series B, Biological Sciences 194, 431–445.Google ScholarPubMed
Yates, P.A., Holub, A.D., McLaughlin, T., Sejnowski, T.J. & O’Leary, D.D.M. (2004). Computational modeling of retinotopic map development to define contributions of EphA-ephrinA gradients, axon-axon interactions, and patterned activity. Journal of Neurobiology 59, 95–113.CrossRefGoogle ScholarPubMed
Supplementary material: File

Sterratt Supplementary Material

Zip

Download Sterratt Supplementary Material(File)
File 2.8 KB