Efficient Coding in Visual Working Memory Accounts for Stimulus-Specific Variations in Recall

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
Robert Taylor, Paul M Bays

Abstract

Recall of visual features from working memory varies in both bias and precision depending on stimulus parameters. Whereas a number of models can approximate the average distribution of recall error across target stimuli, attempts to model how error varies with the choice of target have been ad hoc Here we adapt a neural model of working memory to provide a principled account of these stimulus-specific effects, by allowing each neuron's tuning function to vary according to the principle of efficient coding, which states that neural responses should be optimized with respect to the frequency of stimuli in nature. For orientation, this means incorporating a prior that favors cardinal over oblique orientations. While continuing to capture the changes in error distribution with set size, the resulting model accurately described stimulus-specific variations as well, better than a slot-based competitor. Efficient coding produces a repulsive bias away from cardinal orientations, a bias that ought to be sensitive to changes in the environmental statistics. We subsequently tested whether shifts in the stimulus distribution influenced response bias to uniformly sampled target orientations in human subjects (of either sex). Across adaptati...Continue Reading

Citations

Aug 14, 2020·Proceedings of the National Academy of Sciences of the United States of America·Sebastian SchneegansPaul M Bays
May 1, 2020·Attention, Perception & Psychophysics·Michael S Pratte
Jun 4, 2021·Annual Review of Vision Science·Timothy J Buschman

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