pcbi.1011792.s002.pdf (374.21 kB)
Theory of latent dimensionality and encoding performance.
journal contribution
posted on 2024-01-10, 18:35 authored by Eric Elmoznino, Michael F. BonnerDetailed description of the theory of ED and encoding performance sketched out in Section Dimensionality and alignment in computational brain models.
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representations onto lowpredicting cortical responsespopular view holdsnatural image representationslearning new categorieshuman fmri datalower dimensional geometrieshigher dimensional representationsvisual cortex benefitoptimal dnns compressdeep neural networksbetter generalization performancevisual cortexneural networksbetter performancedimensional subspacesbetter suitedbetter modelstraining domainsstrong trendmonkey electrophysiologylatent dimensionalitygeneralize beyondfindings suggestdnn modelscomputational modelsachieve invariance
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