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

Front Cover
Julien Mayor, Pablo Gomez, Franklin Chang, Gary Lupyan
Frontiers E-books, Aug 11, 2014 - Psychology - 180 pages

 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 aimed 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 called for papers involving computational modeling and original research as well as technical, philosophical, or historical discussions pertaining to models of cognition. We especially encouraged submissions aimed at contrasting different computational frameworks, and their relationship to imaging and behavioral data.

 

Selected pages

Contents

legacy and future challenges
4
Recurrent temporal networks and language acquisitionfrom corticostriatal neurophysiology to reservoir computing
7
investigating the continuum from catastrophic forgetting to agelimited learning effects
21
An amodal shared resource model of languagemediated visual attention
24
a historical and tutorial review
40
a tutorial overview
65
Spoken word recognition without a TRACE
79
Deep generative learning of locationinvariant visual word recognition
96
A computational model to investigate assumptions in the headturn preference procedure
106
Experience and generalization in a connectionist model of Mandarin Chinese relative clause processing
121
Selforganizing map models of language acquisition
140
a connectionist developmental approach to verbal analogies
155
learning nouns over developmental time in atypical populations and individuals
169
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Common terms and phrases

acquisition activation algorithm analogy animacy architecture Bayesian behavior biases bigrams Boltzmann Machines brain capture coding Cogn cognitive competitors computational model connectionism connectionist models connections context corpus corresponding developmental DevLex-II distribution Dominey effects Elman emergence example familiarity scores Figure fixation function Gibbs sampling Grainger grammatical Hebbian learning hidden layer Hinton Huettig implemented infants input interactive language language-mediated visual attention late talkers lexical linguistic Mandarin McClelland mean ratio Miikkulainen neural network neurons object ORCs patterns perception performance phonemes phonological posterior probability presented probabilistic processing Psychol relation relative clause representations Rumelhart semantic sentences sequence simulations softmax speaker specific speech spoken word recognition SRCs stimuli structure studies subject relatives subject-modifying target task temporal thematic role tion TISK TRACE transitive verbs types unrelated distractors unsupervised learning values variables vector verbs vocabulary weights word learning Zorzi

Bibliographic information

Title50 years after the perceptron, 25 years after PDP: Neural computation in language sciences
Frontiers Research Topics
Editors Julien Mayor, Pablo Gomez, Franklin Chang, Gary Lupyan
PublisherFrontiers E-books, 2014
ISBN2889192571, 9782889192571
Length180 pages
  
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