ReviewMolecular brain2026
The neural code of perceptual inference.
Review in Molecular brain, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Perception is a process of inference, whereby incoming sensory evidence is interpreted based on prior expectations about the sensory world. Thus, the neural code of perception should be evaluated based on how optimally it computes perceptual inference. However, the neural code of perception has conventionally been evaluated by its capacity to represent sensory information faithfully. Due to this misalignment in the computational goal of perception, assessments of the neural code have been biased towards discriminability over generalizability, and efficiency over robustness. In this review, I suggest ways in which we can evaluate the neural code based on its capacity to achieve the goal of perception, that is, perceptual inference.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.