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50 years after the perceptron, 25 years after PDP: Neural computation in language sciences

About this Research Topic

This Research Topic aims to showcase the state of the art in language research while celebrating the 25th anniversary of the tremendously influential work of the PDP group, and the 50th anniversary of the perceptron. Although PDP models are often the gold standard to which new models are compared, the scope ...

This Research Topic aims to showcase the state of the art in language research while celebrating the 25th anniversary of the tremendously influential work of the PDP group, and the 50th anniversary of the perceptron. Although PDP models are often the gold standard to which new models are compared, the scope of this Research Topic is not constrained to connectionist models. Instead, we aim to create a landmark forum in which experts in the field define the state of the art and future directions of the psychological processes underlying language learning and use, broadly defined. We thus call for papers involving computational modeling and original research as well as technical, philosophical, or historical discussions pertaining to models of cognition. We especially encourage submissions aimed at contrasting different computational frameworks, and their relationship to imaging and behavioral data.


Important Note: All contributions to this Research Topic must be in line with the scope of the specialty and field to which they are submitted, as defined in their mission statements. Manuscripts discovered during any stage of peer review to be outside of the scope may be transferred to a suitable section or field, or withdrawn from review.

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