ArticleProceedings of the National Academy of Sciences of the United States of America2022
In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.bioRxiv : the preprint server for biology · 2025Article
- Theory of interaction between untuned modulatory inputs and tuned sensory inputs.bioRxiv : the preprint server for biology · 2025Article
- On the contrast response function of adapted neural populations.Journal of neurophysiology · 2024Article
- Haploinsufficiency of Shank3 increases the orientation selectivity of V1 neurons.Scientific reports · 2022Article
- Ordering in heterogeneous connectome weights for visual information processing.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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Abstract
The brain's connectome provides the scaffold for canonical neural computations. However, a comparison of connectivity studies in the mouse primary visual cortex (V1) reveals that the average number and strength of connections between specific neuron types can vary. Can variability in V1 connectivity measurements coexist with canonical neural computations? We developed a theory-driven approach to deduce V1 network connectivity from visual responses in mouse V1 and visual thalamus (dLGN). Our method revealed that the same recorded visual responses were captured by multiple connectivity configurations. Remarkably, the magnitude and selectivity of connectivity weights followed a specific order across most of the inferred connectivity configurations. We argue that this order stems from the specific shapes of the recorded contrast response functions and contrast invariance of orientation tuning. Remarkably, despite variability across connectivity studies, connectivity weights computed from individual published connectivity reports followed the order we identified with our method, suggesting that the relations between the weights, rather than their magnitudes, represent a connectivity motif supporting canonical V1 computations.
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