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Over the last decade, numerous studies have shown that deep neural networks exhibit sensory representations similar to those of the mammalian brain, in that their activations linearly map onto cortical responses to the same sensory inputs.
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Becker, S. and Hinton, G. E · 1992
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Caucheteux, C. and King, J.-R · 2020
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Caucheteux, C., Gramfort, A., and King, J.-R · 2021
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Millet, J. and King, J.-R · 2021
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Using goal-driven deep learning models to understand sensory cortex
Yamins, D. L. K. and DiCarlo, J. J · 2016
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Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models
Khaligh-Razavi, S.-M., Henriksson, L., Kay, K., and Kriegeskorte, N · 2017
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A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy
Kell, A. J. E., Yamins, D. L. K., Shook, E. N., Norman-Haignere, S. V., and McDermott, J. H · 2018
Cited alongside, same era.
Multi-scale mapping along the auditory hierarchy using high-resolution functional UltraSound in the awake ferret
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Landemard, A., Bimbard, C., Demené, C., Shamma, S., Norman-Haignere, S., and Boubenec, Y · 2050
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