An activity-dependent computational model of development of the retinotopic map along the dorsoventral axis in the primary visual cortex
© Philips and Chakravarthy; licensee BioMed Central Ltd. 2014
Published: 21 July 2014
The afferent (μ ij,r1r2 ), lateral excitatory (E ij,kl ) and lateral inhibitory (I ij,kl ) weights adapt based on a normalized Hebbian mechanism. The input to the retinal layer consists of rectangular bars of varying dilation and rotation; since images on the retina could be considered as different projective transforms of the objects seen. The outer boundary of the V1 layer is also constrained to simulate the flattened V1 surface area (see Figure 1B). After training for 750 iterations (see Figure 1C), it may be observed in the developed map that eccentricity is mapped along the x-axis while the meridional angle is mapped along the y-axis, an organization that bears strong resemblance to the complex logarithmic map  (see Figure 1B, Figure 1D).
A neural activity based model for the development of retinotopic map along the dorsoventral axis is demonstrated and the final map developed is compared with experimental results approximated by the complex log map equations.
- Schwartz EL: The development of specific visual connections in the monkey and the goldfish: Outline of a geometric theory of receptotopic structure. Journal of Theoretical Biology. 1977, 69 (4): 655-683. 10.1016/0022-5193(77)90374-5.View ArticlePubMedGoogle Scholar
- Cang J, Niell CM, Liu X, Pfeiffenberger C, Feldheim DA, Stryker MP: Selective disruption of one Cartesian axis of cortical maps and receptive fields by deficiency in ephrin-As and structured activity. Neuron. 2008, 57 (4): 511-523. 10.1016/j.neuron.2007.12.025.PubMed CentralView ArticlePubMedGoogle Scholar
- Bednar JA: Topographica: building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components. Frontiers in neuroinformatics. 2009, 3:Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.