The neural development and organization of letter recognition: evidence from functional neuroimaging, computational modeling, and behavioral studies.

Although much of the brain's functional organization is genetically predetermined, it appears that some noninnate functions can come to depend on dedicated and segregated neural tissue. In this paper, we describe a series of experiments that have investigated the neural development and organization of one such noninnate function: letter recognition. Functional neuroimaging demonstrates that letter and digit recognition depend on different neural substrates in some literate adults. How could the processing of two stimulus categories that are distinguished solely by cultural conventions become segregated in the brain? One possibility is that correlation-based learning in the brain leads to a spatial organization in cortex that reflects the temporal and spatial clustering of letters with letters in the environment. Simulations confirm that environmental co-occurrence does indeed lead to spatial localization in a neural network that uses correlation-based learning. Furthermore, behavioral studies confirm one critical prediction of this co-occurrence hypothesis, namely, that subjects exposed to a visual environment in which letters and digits occur together rather than separately (postal workers who process letters and digits together in Canadian postal codes) do indeed show less behavioral evidence for segregated letter and digit processing.

[1]  R Linsker,et al.  From basic network principles to neural architecture: emergence of orientation columns. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[2]  T A Polk,et al.  Brain localization for arbitrary stimulus categories: a simple account based on Hebbian learning. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[4]  K. Miller,et al.  Ocular dominance column development: analysis and simulation. , 1989, Science.

[5]  M. J. Farah,et al.  Late experience alters vision , 1995, Nature.

[6]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[7]  P. Merikle,et al.  Selection from visual persistence by perceptual groups and category membership. , 1980, Journal of experimental psychology. General.

[8]  Peter Földiák,et al.  Learning Invariance from Transformation Sequences , 1991, Neural Comput..

[9]  J. Knott The organization of behavior: A neuropsychological theory , 1951 .

[10]  Howard E. Egeth,et al.  Parallel processing of multielement displays , 1972 .

[11]  J Duncan,et al.  Perceptual selection based on alphanumeric class: Evidence from partial reports , 1983, Perception & psychophysics.

[12]  J. Jonides,et al.  A conceptual category effect in visual search: O as letter or as digit , 1972 .

[13]  J. Duncan The locus of interference in the perception of simultaneous stimuli. , 1980 .

[14]  R Linsker,et al.  From basic network principles to neural architecture: emergence of spatial-opponent cells. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Isabelle Peretz,et al.  Functional dissociations following bilateral lesions of auditory cortex. , 1994 .

[16]  H. Ritter,et al.  Self-organizing maps for internal representations , 1990, Psychological research.

[17]  T. Allison,et al.  Human extrastriate visual cortex and the perception of faces, words, numbers, and colors. , 1994, Cerebral cortex.

[18]  J. Richard Hanley,et al.  A Dissociation Between the Ability to Print and Write Cursively in Lower-Case Letters , 1996, Cortex.

[19]  H. Gardner,et al.  The naming of objects and symbols by children and aphasic patients , 1974, Journal of psycholinguistic research.

[20]  R Friedman,et al.  Lesion localization in apractic agraphia. , 1992, Archives of neurology.

[21]  Richard Durbin,et al.  A dimension reduction framework for understanding cortical maps , 1990, Nature.

[22]  Roman Bek,et al.  Discourse on one way in which a quantum-mechanics language on the classical logical base can be built up , 1978, Kybernetika.

[23]  R Linsker,et al.  From basic network principles to neural architecture: emergence of orientation-selective cells. , 1986, Proceedings of the National Academy of Sciences of the United States of America.