ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016
Orientation Selectivity from Very Sparse LGN Inputs in a Comprehensive Model of Macaque V1 Cortex.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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45 citing papers in PubMed.
- Tuning Diversity Improves Discrimination and Detection Performance under Metabolic Constraints.bioRxiv : the preprint server for biology · 2026Article
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- Cooperative coding of continuous variables in networks with sparsity constraint.PLoS computational biology · 2025Article
- Prediction of future input explains lateral connectivity in primary visual cortex.Current biology : CB · 2025Article
- A Computationally Efficient Neuronal Model for Collision Detection with Contrast Polarity-Specific Feed-Forward Inhibition.Biomimetics (Basel, Switzerland) · 2024Article
- A comprehensive data-driven model of cat primary visual cortex.PLoS computational biology · 2024Article
- Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Neuronal composition of processing modules in human V1: laminar density for neuronal and non-neuronal populations and a comparison with macaque.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Comparison of orientation encoding across layers within single columns of primate V1 revealed by high-density recordings.Frontiers in neural circuits · 2024Article
- Beyond ℓ1 sparse coding in V1.PLoS computational biology · 2023Article
- Non-Trivial Dynamics in the FizHugh-Rinzel Model and Non-Homogeneous Oscillatory-Excitable Reaction-Diffusions Systems.Biology · 2023Article
- Synchronization and oscillation behaviors of excitatory and inhibitory populations with spike-timing-dependent plasticity.Cognitive neurodynamics · 2023Article
- Cortical Representation of Touch in Silico.Neuroinformatics · 2022Article
- Gamma rhythms in the visual cortex: functions and mechanisms.Cognitive neurodynamics · 2022Review
- Revisiting horizontal connectivity rules in V1: from like-to-like towards like-to-all.Brain structure & function · 2022Review
- A Computational Model of Direction Selectivity in Macaque V1 Cortex Based on Dynamic Differences between On and Off Pathways.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Artificial Visual System for Orientation Detection Based on Hubel-Wiesel Model.Brain sciences · 2022Article
- Multiple gamma rhythms carry distinct spatial frequency information in primary visual cortex.PLoS biology · 2021Article
- A data-informed mean-field approach to mapping of cortical parameter landscapes.PLoS computational biology · 2021Article
- An Anatomically Constrained Model of V1 Simple Cells Predicts the Coexistence of Push-Pull and Broad Inhibition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
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3 authors.
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Abstract
A new computational model of the primary visual cortex (V1) of the macaque monkey was constructed to reconcile the visual functions of V1 with anatomical data on its LGN input, the extreme sparseness of which presented serious challenges to theoretically sound explanations of cortical function. We demonstrate that, even with such sparse input, it is possible to produce robust orientation selectivity, as well as continuity in the orientation map. We went beyond that to find plausible dynamic regimes of our new model that emulate simultaneously experimental data for a wide range of V1 phenomena, beginning with orientation selectivity but also including diversity in neuronal responses, bimodal distributions of the modulation ratio (the simple/complex classification), and dynamic signatures, such as gamma-band oscillations. Intracortical interactions play a major role in all aspects of the visual functions of the model. SIGNIFICANCE STATEMENT: We present the first realistic model that has captured the sparseness of magnocellular LGN inputs to the macaque primary visual cortex and successfully derived orientation selectivity from them. Three implications are (1) even in input layers to the visual cortex, the system is less feedforward and more dominated by intracortical signals than previously thought, (2) interactions among cortical neurons in local populations produce dynamics not explained by single neurons, and (3) such dynamics are important for function. Our model also shows that a comprehensive picture is necessary to explain function, because different visual properties are related. This study points to the need for paradigm shifts in neuroscience modeling: greater emphasis on population dynamics and, where possible, a move toward data-driven, comprehensive models.
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