Feature-based letter perception – A neurocognitive plausible, transparent model approach
Janos Pauli, Benjamin Gagl · Bernstein Conference 2024
Applying the principles of predictive coding to reading has successfully increased our understanding of the neuro-cognitive processes underlying the extraction of meaning from text. Central is integrating prior knowledge with the sensory input to highlight the informative parts of a visual percept, thus increasing the efficiency of the representation and processing in the visual pathway. Current computer vision models (e.g., deep learning models) can easily predict letter identities; however, their inner workings remain opaque, making it extremely hard to infer how the model implements the t