Adding neurons may improve visual signals despite shared noise, analysis predicts

The brain represents the external world through the coordinated activity of billions of neurons, a process that relies on population coding to handle the inherent unreliability of individual cells. According to the provided analysis, a single neuron responds inconsistently, with its activity varying from trial to trial even when presented with the same stimulus repeatedly. To compensate for this variability, neuron populations represent the same information across many neurons, allowing the system to maintain stable representations despite the noise present in single-cell responses.

This mechanism suggests that adding neurons may continue to improve visual signals even in the presence of shared noise, as predicted by the analysis. By distributing information across a larger number of neurons, the brain can effectively mitigate the trial-to-trial fluctuations that characterize individual neuronal activity. The study highlights how this collective strategy enables more reliable internal representations of the outside world.