ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Mechanisms for stable, robust, and adaptive development of orientation maps in the primary visual cortex.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 61 citations in OpenAlex.
- Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning.Communications psychology · 2026Article
- The developmental emergence of reliable cortical representations.Nature neuroscience · 2025Article
- Distinct interacting cortical networks for stimulus-response and repetition-suppression.Communications biology · 2022Article
- Connectivity concepts in neuronal network modeling.PLoS computational biology · 2022Review
- Pooling strategies in V1 can account for the functional and structural diversity across species.PLoS computational biology · 2022Article
- Analytic Model for Feature Maps in the Primary Visual Cortex.Frontiers in computational neuroscience · 2022Article
- Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity.PLoS computational biology · 2021Article
- A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex.Frontiers in computational neuroscience · 2021Article
- Development and Evaluation of a Visual Remediation Intervention for People with Schizophrenia.Journal of psychiatry and brain science · 2020Article
- The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations.Frontiers in neural circuits · 2020Article
- Stable memory and computation in randomly rewiring neural networks.Journal of neurophysiology · 2019Article
- Computational Modeling of Contrast Sensitivity and Orientation Tuning in First-Episode and Chronic Schizophrenia.Computational psychiatry (Cambridge, Mass.) · 2017Article
- The influence of astrocytes on the width of orientation hypercolumns in visual cortex: A computational perspective.PLoS computational biology · 2017Article
- Neural field model to reconcile structure with function in primary visual cortex.PLoS computational biology · 2017Article
- Improving voltage-sensitive dye imaging: with a little help from computational approaches.Neurophotonics · 2017Article
- Familiarization: A theory of repetition suppression predicts interference between overlapping cortical representations.PloS one · 2017Article
- Rapid Long-Range Disynaptic Inhibition Explains the Formation of Cortical Orientation Maps.Frontiers in neural circuits · 2017Article
- Functional implications of orientation maps in primary visual cortex.Nature communications · 2016Article
- Columnar organization of spatial phase in visual cortex.Nature neuroscience · 2015Article
- Time-sensitive reorganization of the somatosensory cortex poststroke depends on interaction between Hebbian and homeoplasticity: a simulation study.Journal of neurophysiology · 2014Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Development of orientation maps in ferret and cat primary visual cortex (V1) has been shown to be stable, in that the earliest measurable maps are similar in form to the eventual adult map, robust, in that similar maps develop in both dark rearing and in a variety of normal visual environments, and yet adaptive, in that the final map pattern reflects the statistics of the specific visual environment. How can these three properties be reconciled? Using mechanistic models of the development of neural connectivity in V1, we show for the first time that realistic stable, robust, and adaptive map development can be achieved by including two low-level mechanisms originally motivated from single-neuron results. Specifically, contrast-gain control in the retinal ganglion cells and the lateral geniculate nucleus reduces variation in the presynaptic drive due to differences in input patterns, while homeostatic plasticity of V1 neuron excitability reduces the postsynaptic variability in firing rates. Together these two mechanisms, thought to be applicable across sensory systems in general, lead to biological maps that develop stably and robustly, yet adapt to the visual environment. The modeling results suggest that topographic map stability is a natural outcome of low-level processes of adaptation and normalization. The resulting model is more realistic, simpler, and far more robust, and is thus a good starting point for future studies of cortical map development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.