This interdisciplinary work from New York University and collaborators introduces an information-theoretic framework to define four conceptual dimensions of representation in neuroscience: sensitivity, specificity, invariance, and functionality. The framework offers a unified language for characterizing neural representations, demonstrated through its application to established findings in visual cortex, parietal cortex, and hippocampus.
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