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Structured Long-Range Connections Can Provide a Scaffold for Orientation Maps
- Source :
- The Journal of Neuroscience. 20:1119-1128
- Publication Year :
- 2000
- Publisher :
- Society for Neuroscience, 2000.
-
Abstract
- In the visual cortex of the cat and ferret, it is established that maturation of orientation selectivity is shaped by experience-dependent plasticity. However, recent experiments indicate that orientation maps are remarkably stable and experience-independent. We present a model to account for these seemingly paradoxical results. In this model, a scaffold consisting of non-isotropic lateral connections is laid down in horizontal circuitry before visual experience. These lateral connections provide an experience-independent framework for the developing orientation maps by inducing a broad orientation tuning bias in the model neurons. Experience-dependent plasticity of the thalamocortical connections sharpens the tuning while the preferred orientation of the neurons remains unchanged. This model is verified by computer simulations in which the scaffolds are generated both artificially and inferred from experimental optical imaging data. The plasticity is modeled by the BCM synaptic plasticity rule, and the input environment consists of natural images. We use this model to provide a possible explanation of the recent observation in which two eyes without common visual experience develop similar orientation maps. Finally, we propose an experiment involving the disruption of lateral connections to distinguish this model from models proposed by others.
- Subjects :
- Scaffold
Models, Neurological
Plasticity
Article
Ocular physiology
Optical imaging
Vision, Monocular
Orientation
medicine
Animals
Computer Simulation
Visual Pathways
Visual experience
Vision, Ocular
Visual Cortex
Neuronal Plasticity
Orientation (computer vision)
General Neuroscience
Range (mathematics)
Visual cortex
medicine.anatomical_structure
Synapses
Nerve Net
Sensory Deprivation
Biological system
Psychology
Neuroscience
Subjects
Details
- ISSN :
- 15292401 and 02706474
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- The Journal of Neuroscience
- Accession number :
- edsair.doi.dedup.....fa6017fa02a52a8ac8af8a7fa642fd74
- Full Text :
- https://doi.org/10.1523/jneurosci.20-03-01119.2000