Mark S. Seidenberg

Vilas mark higher resResearch Professor
Donald O. Hebb Professor
Psychology and Cognitive Neuroscience

Professor of Psychology at the University of Wisconsin-Madison
Ph.D., 1980, Columbia University

E-Mail: seidenberg@wisc.edu 
Phone: (608)263-2553
Fax: (608) 262-4029

Language at the Speed of Sight  book website.

Bio

Mark Seidenberg is Vilas Research Professor and Donald O. Hebb Professor in the department of psychology at the University of Wisconsin. He is a cognitive scientist/neuroscientist/psycholinguist who has studied language, reading and dyslexia since the disco era.  He attended Columbia University as an undergraduate, where, like many students, he worked part-time. He received a Ph.D. from Columbia, where he was a student of Tom Bever during the notorious Nim Chimpsky era. He did postdoctoral research at the Center for the Study of Reading splitting time between Bolt Beranek & Newman and the University of Illinois. His first academic appointment was at McGill University in Montreal, home of fantastic food and a very long winter. After 10 years in the cold he moved to the University of Southern California, where he had appointments in psychology, linguistics, and in the neuroscience program. In 2001 he moved to the University of Wisconsin Madison, where he lives in a house on a hill and bikes to work when he can. He has published many scientific articles in fine journals such as Science, Psychological Review, Nature Neuroscience, Language, Psychological Science, and Semiotica (!), and wsmall cover copyas honored as one of the 250 most-cited researchers in the areas of psychology and psychiatry by those Web of Science citation-counting people. His reading research addresses the nature of skilled reading, how children learn to read, dyslexia, and the brain bases of reading, using the tools of modern cognitive neuroscience: behavioral experiments, computational models, and neuroimaging.  His language research addresses what people know when they know a language, how this knowledge is represented in the brain, and how it is acquired and used.

His book “Language at the Speed of Sight: How We Read, Why So Many Can’t, and What Can Be Done About It” (Basic Books) will be published to acclaim and derision in December 2016. The book’s web page is seidenbergreading.net.

Brief summaries of current projects are here:

Overview of Research Goals and Interests

Here’s a simple summary of my research:

I study language and reading, with the goal of understanding how these skills are acquired and used, and the brain circuits that support them. The work involves a combination of behavioral studies, neuroimaging, and computational (connectionist) modeling. If at all possible, I’d like this research to make it easier for more people to become better readers, and for children who struggle with reading to obtain effective help.

Here’s more about what that means:

About Language

There are traditional questions that people ask about language: what do we know when we know language? How is this information acquired? How is this information used in comprehending and producing language? What are the brain structures that support the acquisition and use of language? Why do people acquire language and not other species? How does language relate to other cognitive capacities? What do language disorders due to neuropathology tell us about the language system? Questions such as these have dominated linguistic and psycholinguistic research for many years, ever since Chomsky formulated them in the 1960s.

Our research attempts to advance the understanding of these issues, while challenging many broadly-held assumptions about them. For example, since Chomsky’s early work, knowledge of language has been equated with knowing a grammar. Many consequences followed from this initial assumption. For example, if the child’s problem is to converge on the grammar of a language, then the problem does seem intractable unless there are innate constraints on the possible forms of grammar. What if we abandon the assumption that knowledge of language is represented as a grammar in favor of, say, neural networks, a more recently developed way of thinking about knowledge representation, learning, and processing? Do the same conclusions about the innateness of linguistic knowledge follow? The answer is: not at all.

Our goal, then, has been to articulate an alternative framework for thinking about the classic questions listed above. This is not easy: traditional grammarians have about a 40 year lead on us, and only a few linguists actually think the alternative approach will succeed. However, it’s a very interesting moment in the study of language. For many years the study of language was dominating by theoretical linguistics, particularly syntax. More recently, there have been important insights coming from outside of traditional grammatical theory: from computational modeling, from studies of the brain bases of learning and neurodevelopment, from renewed interest in the statistical properties of language.

About Reading

Much of  my research concerns reading, a particular use of language, how reading skill is acquired by children, and impairments in learning to read. The initial focus was on behavioral studies and the development of neural network models of normal and disordered acquisition. The research has now progressed to identifying anomalies in the development of neural circuits for reading, and how those anomalies interfere with reading and other behavior. The “noise” hypothesis that we explored at USC (Harm & Seidenberg 1999; vision studies with Lu, Manis, and Sperling) is looking better than we could have known: noisy neural processing within and between reading/language areas arising from anomalies in white matter tracts has several effects that can be tied to behavioral impairments. snow without the s

I am also deeply committed to pursuing the educational implications of reading research. The “achievement gap” refers to the lower achievement of poor and minority children in school, particularly in reading.  Our focus is on ways in which language background affects early school achievement. Most African American children speak the dialect called African American English, whereas the language in the school is some version of “standard” (also called “mainstream”) American English. This situation makes tasks such as learning to read literally more difficult than for children who use the same dialect at home and in school. Our studies examine young children’s knowledge of the alternative dialects, factors that affect ability to switch between dialects, and ways that negative effects of the mismatch can be ameliorated. The idea is to provide supplementary language experiences early, when the child’s plasticity for language is high. We can also use our computational models of reading to predict where dialect differences will interfere with progress, and how experience can be structured to improve performance.

Recent Publications

Fernandino, L., Humphries, C.J., Conant, L., Seidenberg, M.S., Binder, J.R. (in press). Heteromodal cortical areas encode sensory-motor features of word meaning. J. Neuroscience. |PDF|

Treiman, R., Seidenberg, M.S., & Kessler, B. (2015). Influences on spelling: evidence from homophones.  Language, Cognition, and Neuroscience, 30, 544-554. |PDF|

Fernandino, L., Humphries, C.J., Seidenberg, M.S., Gross, W.L., Conant, L.L., & Binder, J.R. (2015). Predicting brain activation patterns associated with individual lexical concepts based on five sensory-motor attributes, Neuropsychologia, 76, 17-26.  PMID: 25863238. |PDF|

Brown, M.C., Sibley, D.E.,  Washington, J.A., Rogers, T.T., Edwards, J.R., MacDonald, M.C., & Seidenberg, M.S. (2015).  Impact of dialect use on a basic component of learning to read. Frontiers in Psychology, published March 24, 2015. PMCID: PMC4371648. |PDF|

Fernandino, L., Binder, J.R., Desai, R.H., Pendl, S.L., Humphries, C.J., Gross, W., Conant, L.L., Seidenberg, M.S. (2015). Concept representation reflects multimodal abstraction: A framework for embodied semantics.  Cerebral Cortex, 6, 2018-2034. PMCID: PMC 25750259. |PDF|

Edwards, J., Gross, M., Chen, J., MacDonald, M., Kaplan, D., Brown, M., & Seidenberg, M. (2014). Dialect Awareness and Lexical Comprehension of Mainstream American English in African American English-Speaking Children.Journal of Speech, Language, and Hearing Research, 57, 1883-1895. PMCID: PMC4192017. |PDF|

Pugh, K., Frost, S., Rothman, D., Hoeft, F., Del Tufo, S., Mason, G., Molfese, P., Mencl, E., Grigorenko, E., Landi, N., Preston, J., Jacobsen, L., Seidenberg, M., and Fulbright, R. (2014).  Glutamate and choline levels predict individual differences in reading ability in emergent readers. Journal of Neuroscience, 34, 4082– 4089. PMCID: PMC3951703. |PDF|

Diehl, J.J., Frost, S.J., Sherman, G., Mencl, W.E., Kurian, A., Molfese, P., Landi, N., Preston, J., Soldan, A., Fulbright, R.K., Rueckl, J., Seidenberg, M.S., & Pugh, K.R.  (2014). Neural correlates of  language and non-language visuospatial processing in adolescents with reading disability. NeuroImage, 101, 653-666. PMCID: PMC4167780. |PDF|

Willits, J., Seidenberg, M., & Saffran, J. (2014). Distributional structure in language: Contributions to difficulty differences in infant word recogntion. Cognition, 132, 429-436. |PDF|

Graves, W. W., Binder, J. R., Desai, R. H., Humphries, C. O., Stengel, B. C., & Seidenberg, M. S. (2014). Anatomy is strategy: Skilled reading differences associated with structural connectivity differences in the reading network.Brain & Language, 133, 1-13. |PDF|

Seidenberg, M. S., & Plaut, D. C. (2014). Quasiregularity and its discontents: The legacy of the past tense debate. Cognitive Science, 38, 1190-1228. |PDF|

Desai, R. H., Binder, J. R., Park, H. X., & Seidenberg, M. S. (2013). A piece of the action: Modulation of sensory-motor regions by action idioms and metaphors. NeuroImage, 83, 862-869. |PDF|

Seidenberg, M. S. (2013). The Gladwell Pivot. Language Log.  A blog post about whether dyslexia is a “desirable difficulty.” http://languagelog.ldc.upenn.edu/nll/?p=8123.

Willits, J. A., Wojcik, E. H., Seidenberg, M. S., & Saffran, J. R. (2013). Toddlers Activate Lexical Semantic Knowledge in the Absence of Visual Referents: Evidence from Auditory Priming. Infancy, 18, 1053-1075. |PDF|

Bavelier, D. S., Green, S. C., & Seidenberg, M. S. (2013). Cognitive development: Gaming your way out of dyslexia? Current Biology, 23, R282. |PDF|

Seidenberg, M. S. (2013). The science of reading and its educational implications. Language Learning and Development, 9, 331-360. |PDF|

Pugh, K. R., Landi, N. N., Preston, J. L., Mencl, E. W., Austin, A. C., Sibley, D. O., Fulbright, R. K., Seidenberg, M. S., Grigorenko, E. L., Constable, T. R., Molfese, P. P., & Frost, S. J. (2013). The relationship between phonological and auditory processing and brain organization in beginning readers. Brain and Language, 125, 173-183. |PDF|

Graves, W. W., Binder, J. R., & Seidenberg, M. S. (2013). Noun-noun combination: Meaningfulness ratings and lexical statistics for 2160 word pairs. Behavior Research Methods, 45, 463-469. |PDF|

Mano, Q. R., Humphries, C. O., Desai, R. H., Seidenberg, M. S., Osmon, D. C., Stengel, B. C., & Binder, J. R. (2013). The role of the left occipitotemporal cortext in reading: Reconciling stimulus, task, and lexicality effects. Cerebral Cortex, 23, 988-1001. |PDF|

Washington, J., Terry, N., & Seidenberg, M. (2013). Language Variation and Literacy Learning: The Case of African American English In CA Stone., ER Silliman., BJ Ehren., & KA Apel. (Eds.), Handbook of language and literacy: Development and disorders, 2nd Edition. |PDF|

 

 

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