# Adaptive Scales of Spatial Integration and Response Latencies in a Critically-Balanced Model of the Primary Visual Cortex

## TL;DR

This paper proposes a simple dynamical criticality mechanism that explains how the primary visual cortex adapts its spatial integration scales and response latencies based on visual input, unifying several observed properties.

## Contribution

It introduces a dynamical criticality model that accounts for input-dependent changes in spatial integration and response times in V1, advancing understanding of visual processing.

## Key findings

- Model reproduces known input-dependent scale changes
- Explains variability in cortical lateral extents
- Accounts for changes in response latencies

## Abstract

The brain processes visual inputs having structure over a large range of spatial scales. The precise mechanisms or algorithms used by the brain to achieve this feat are largely unknown and an open problem in visual neuroscience. In particular, the spatial extent in visual space over which primary visual cortex (V1) performs evidence integration has been shown to change as a function of contrast and other visual parameters, thus adapting scale in visual space in an input-dependent manner. We demonstrate that a simple dynamical mechanism---dynamical criticality---can simultaneously account for the well-documented input-dependence characteristics of three properties of V1: scales of integration in visuotopic space, extents of lateral integration on the cortical surface, and response latencies.