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Primary Visual Cortex And Its Mechanisms of Recurrent Activity

In mammals, the intricate process of perceiving visual stimuli involves the collaborative activity of thousands of neurons across diverse brain regions. The images captured by the eyes embark on a journey through successive stages within the brain, undergoing refinement at each step. This succinctly highlights the complex neural orchestration behind the formation of our visual perceptions.

Welcome to our exploration of the primary visual cortex and its mechanisms of recurrent activity. This journey takes us into the complex world of mammalian visual perception, where thousands of neurons across various brain regions play a crucial role. We’ll delve into the primary visual cortex, or V1, where recurrent excitation and suppression of neurons are key to our ability to detect and discriminate objects within visual images. Despite the wealth of empirical evidence, the cortical patterns driving these processes remain a mystery. Join us as we unravel these patterns and gain a deeper understanding of the intricate mechanisms that drive human vision.

In the intricate realm of mammalian visual perception, the orchestration of thousands of neurons across diverse brain regions is fundamental. The translation of visual stimuli captured by the eyes undergoes a series of nuanced steps within the brain, gradually refining representations.

Critical to this intricate process is the primary visual cortex, often referred to as V1. Extensive research indicates that within this brain region, the recurrent excitation of neurons serves to enhance responses in the presence of weak visual signals. Conversely, recurrent inhibition acts as a regulatory mechanism, suppressing responses when signals are robust.

Although empirical evidence supports the notion that recurrent excitation and suppression are pivotal for detecting and discriminating objects or subjects within visual images, the underlying cortical patterns driving these processes remain elusive. Unraveling these patterns holds the promise of providing deeper insights into the intricate mechanisms that underlie human vision.

Primary Visual Cortex Test
The ensembles are categorized based on their spatial arrangement: either diffuse (mean distance >200 µm) or compact (≤200 µm). In the visual representation, the top section illustrates diffuse ensembles, while the bottom section shows compact ensembles. Additionally, ensembles are further characterized by their tuning, with cotuned (tuning index ≥0.7) and untuned (tuning index <0.3) distinctions. The schematic axes provide a visual guide to the ensemble designs within each row or column. The presented data showcases mean responses of nontargeted cells with associated standard errors, correlated with their minimal distance to the ensemble. Noteworthy statistics include 17 diffuse cotuned ensembles across 9 fields of view (FOVs) from 3 mice, 25 diffuse untuned ensembles spanning 13 FOVs from 3 mice, 8 compact cotuned ensembles observed in 3 FOVs from 1 mouse, and 16 compact untuned ensembles identified in 7 FOVs from 2 mice. (Nature Neuroscience)

A recent investigation led by researchers from the University of California, Berkeley, along with collaborators from various U.S. institutes, delved into the intricacies of recurrent activity within the primary visual cortex. The study, featured in Nature Neuroscience, proposes that the preferences of cortical ensembles wield a discernible influence on local recurrent activity in V1 through a clear-cut logic.

Ian Antón Oldenburg, William D. Hendricks, and their research team highlighted the pivotal role of recurrent cortical activity in shaping visual perception—refining, amplifying, or suppressing visual input. To demystify the governing rules of recurrent activity, the scientists leveraged ensemble-specific two-photon optogenetics in the mouse visual cortex, isolating the impact of recurrent activity from external visual input.

Conducting a series of experiments on adult mice, the researchers employed high-resolution two-photon holographic optogenetic techniques to meticulously recreate patterns of neuronal activity in the mouse brain. Subsequently, they gauged the repercussions of these patterns across the primary visual cortex, employing two-photon calcium imaging with cellular precision.

The outcomes unveiled that the combined influence of the spatial arrangement and visual feature preferences of the stimulated ensemble, along with neighboring neurons, dictates the overall impact of recurrent activity. Specifically, photoactivation of these ensembles led to the suppression of all cells beyond 30 µm, while uniformly activating closer, similarly tuned cells. Notably, compact, co-tuned ensembles induced net suppression in non-similarly tuned cells, whereas diffuse, co-tuned ensembles prompted activation. These findings contribute valuable insights into the intricate dynamics of recurrent activity in the primary visual cortex.

Following the completion of their experiments, the researchers employed computational techniques to craft models that would provide a deeper understanding of how the stimulated groups of neurons influenced recurrent activity in the V1.

In their paper, the researchers elucidated that the computational modeling illuminated the underlying mechanisms, pointing towards highly localized recurrent excitatory connectivity and selective convergence onto inhibitory neurons as explanatory factors for the observed effects. The team’s findings unravel a discernible logic, wherein the spatial and feature preferences of cortical ensembles play a crucial role in determining their impact on local recurrent activity within the primary visual cortex.

This recent study by Oldenburg, Hendricks, and their collaborators contributes novel insights into the neural processes governing the amplification and suppression of activity in the mammalian primary visual cortex. The findings suggest that recurrent activity patterns observed in the V1 undergo modulation through neural processes that follow a specific logic. This, in turn, enables the brain to construct detailed representations of complex visual stimuli.

Looking ahead, these results have the potential to pave the way for further studies delving into the intricate neural underpinnings of visual perception, offering a promising avenue for exploring the complexities of how the brain interprets and processes visual information.

Resources

  1. ONLINE NEWS Fadelli, I. & Medical Xpress. (2024b, January 25). The logic underlying recurrent activity in the primary visual cortex. Medical Xpress. [Medical Xpress]
  2. JOURNAL Oldenburg, I. A., Hendricks, W. D., Handy, G., Shamardani, K., Bounds, H. A., Doiron, B., & Adesnik, H. (2024). The logic of recurrent circuits in the primary visual cortex. Nature Neuroscience. [Nature Neuroscience]

Cite this page:

APA 7: TWs Editor. (2024, January 25). Primary Visual Cortex And Its Mechanisms of Recurrent Activity. PerEXP Teamworks. [News Link]

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