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 My research involves using computational modeling, complemented by empirical
studies, to investigate the nature of normal and disordered cognitive processing in the
domain of reading and language.  My modeling work is cast within a connectionist or
parallel distributed processing framework, in which cognitive processes are
implemented in terms of cooperative and competitive interactions among large
numbers of simple, neuron-like processing units. These models provide new ways
of thinking about how cognitive processes are implemented in the brain, and how
disorders of brain function lead to disorders of cognition.  I'm particularly interested in
studying the effects of damage in connectionist networks as a way of understanding
the nature of cognitive impairments that can arise following brain damage, and in
exploring ways of retraining damaged networks with the goal of helping to design more
effective strategies for patient rehabilitation.  I'm also interested in the implications of 
connectionist learning principles for the nature of normal and abnormal cognitive
development.
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