Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Computational studies of lateralization of phoneme sequence generation
Neural Computation
Explorations of the interaction between split processing and stimulus types
Emergent neural computational architectures based on neuroscience
Explorations of the Interaction between Split Processing and Stimulus Types
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Convergence of the visual field split: Hemispheric modeling of face and object recognition
Journal of Cognitive Neuroscience
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We argue that the projection of the visual field to the cortex constrains and informs the modeling of visual word recognition. On the basis of anatomical and psychological evidence, we claim that the higher-level cognition involved in word recognition does not completely transcend initial foveal splitting. We present a schematic connectionist model of word recognition that instantiates the precise splitting of the visual field and the contralateral projection of the two hemifields. We explore the special nature of the exterior (i.e., first and last) letters of words in reading. The model produces the correct behavior spontaneously and robustly. We analyze this behavior of the model with respect to words and random patterns and conclude that the systematic division of the visual input has predictable, general informational consequences and is chiefly responsible for the exterior letters effect.