Neural Population Coding of Multiple Stimuli
A. Emin Orhan, Wei Ji Ma

TL;DR
This paper analyzes how neural responses to multiple stimuli, which often involve stimulus mixing, can impair object decoding and explores mechanisms to mitigate these effects, providing insights into neural coding and attention.
Contribution
It offers a theoretical framework for understanding stimulus mixing in neural populations and identifies conditions that reduce its negative impact on decoding accuracy.
Findings
Stimulus mixing can significantly impair object decoding in neural populations.
Neural correlation and heterogeneity can partially mitigate stimulus mixing effects.
Conditions for unharmful stimulus mixing are derived and discussed.
Abstract
In natural scenes, objects generally appear together with other objects. Yet, theoretical studies of neural population coding typically focus on the encoding of single objects in isolation. Experimental studies suggest that neural responses to multiple objects are well described by linear or nonlinear combinations of the responses to constituent objects, a phenomenon we call stimulus mixing. Here, we present a theoretical analysis of the consequences of common forms of stimulus mixing observed in cortical responses. We show that some of these mixing rules can severely compromise the brain's ability to decode the individual objects. This cost is usually greater than the cost incurred by even large reductions in the gain or large increases in neural variability, explaining why the benefits of attention can be understood primarily in terms of a stimulus selection, or demixing, mechanism…
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Taxonomy
TopicsNeural dynamics and brain function · Visual perception and processing mechanisms · Neural Networks and Applications
