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September 27, 2025Open Access

Subspace reverse-correlation estimation of receptive fields during free viewing

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The approach improves receptive field sharpness by an average of 56% compared to naive estimates.
Validation on simulated data demonstrates accurate recovery of receptive fields and image transformations.
This technique allows efficient parameter optimization with closed-form gradients, enabling rapid convergence.
Its scalability makes it a useful tool for receptive field mapping in free-viewing experiments, compatible with optical imaging.

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This framework models eye movement effects using Hartley basis functions, suggesting improved receptive field mapping accuracy.

Moosavi et al. (2025) studied this question.

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