ArticleThe Journal of comparative neurology2022
Diversity in spatial frequency, temporal frequency, and speed tuning across mouse visual cortical areas and layers.
Article in The Journal of comparative neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Functional architecture for speed tuning in primary visual cortex of carnivores.bioRxiv : the preprint server for biology · 2025Article
- Neurons throughout the brain embed robust signatures of their anatomical location into spike trains.eLife · 2025Article
- High-Resolution Laminar Identification in Macaque Primary Visual Cortex Using Neuropixels Probes.bioRxiv : the preprint server for biology · 2024Article
- Activation and depression of neural and hemodynamic responses induced by the intracortical microstimulation and visual stimulation in the mouse visual cortex.Journal of neural engineering · 2024Article
- Parallel pathways carrying direction-and orientation-selective retinal signals to layer 4 of the mouse visual cortex.Cell reports · 2024Article
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Authors and funding
4 authors.
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Abstract
The mouse visual system consists of several visual cortical areas thought to be specialized for different visual features and/or tasks. Previous studies have revealed differences between primary visual cortex (V1) and other higher visual areas, namely, anterolateral (AL) and posteromedial (PM), and their tuning preferences for spatial and temporal frequency. However, these differences have primarily been characterized using methods that are biased toward superficial layers of cortex, such as two-photon calcium imaging. Fewer studies have investigated cell types in deeper layers of these areas and their tuning preferences. Because superficial versus deep-layer neurons and different types of deep-layer neurons are known to have different feedforward and feedback inputs and outputs, comparing the tuning preferences of these groups is important for understanding cortical visual information processing. In this study, we used extracellular electrophysiology and two-photon calcium imaging targeted toward two different layer 5 cell classes to characterize their tuning properties in V1, AL, and PM. We find that deep-layer neurons, similar to superficial layer neurons, are also specialized for different spatial and temporal frequencies, with the strongest differences between AL and V1, and AL and PM, but not V1 and PM. However, we note that the deep-layer neuron populations preferred a larger range of SFs and TFs compared to previous studies. We also find that extratelencephalically projecting layer 5 neurons are more direction selective than intratelencephalically projecting layer 5 neurons.
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