
The proposed pruned autoencoder (pAE) model effectively simulates the lateral geniculate nucleus (LGN) function by integrating feedforward and feedback streams from/to the primary visual cortex (V1), outperforming other models and human benchmarks in visual object categorization tasks.


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efficient-autoencoder-architecture-for-modeling-the-lateral-geniculate-nucleus-by-integrating-feedforward-and-feedback-streams-in-the-human-visual-system


Efficient Autoencoder Architecture for Modeling the Lateral Geniculate Nucleus by Integrating Feedforward and Feedback Streams in the Human Visual System
