Professional or Amateur? The Phonological Output Buffer as a Working Memory Operator

The Phonological Output Buffer (POB) is thought to be the stage in language production where phonemes are held in working memory and assembled into words. The neural implementation of the POB remains unclear despite a wealth of phenomenological data. Individuals with POB impairment make phonological errors when they produce words and non-words, including phoneme omissions, insertions, transpositions, substitutions and perseverations. Errors can apply to different kinds and sizes of units, such as phonemes, number words, morphological affixes, and function words, and evidence from POB impairments suggests that units tend to substituted with units of the same kind—e.g., numbers with numbers and whole morphological affixes with other affixes. This suggests that different units are processed and stored in the POB in the same stage, but perhaps separately in different mini-stores. Further, similar impairments can affect the buffer used to produce Sign Language, which raises the question of whether it is instantiated in a distinct device with the same design. However, what appear as separate buffers may be distinct regions in the activity space of a single extended POB network, connected with a lexicon network. The self-consistency of this idea can be assessed by studying an autoassociative Potts network, as a model of memory storage distributed over several cortical areas, and testing whether the network can represent both units of word and signs, reflecting the types and patterns of errors made by individuals with POB impairment.

[1]  W. Stokoe,et al.  A dictionary of American sign language on linguistic principles , 1965 .

[2]  M. Garrett,et al.  Lexical retrieval and its breakdown in aphasia and developmental language impairment , 2013 .

[3]  Randi C. Martin,et al.  Language Processing and Working Memory: Neuropsychological Evidence for Separate Phonological and Semantic Capacities , 1994 .

[4]  M. Silveri,et al.  The phonological short-term store-rehearsal system: Patterns of impairment and neural correlates , 1997, Neuropsychologia.

[5]  Ronald Cools,et al.  Mean-field theory for the Q-state Potts-glass neural network with biased patterns , 1993 .

[6]  S E Avons,et al.  The Word-length Effect and Disyllabic Words , 2000, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[7]  L. Dehaene,et al.  Neologistic Jargon Sparing Numbers: A Category-specific Phonological Impairment , 1997 .

[8]  U Bellugi,et al.  Processing of formational, semantic, and iconic information in American sign language. , 1981, Journal of experimental psychology. Human perception and performance.

[9]  Alessandro Treves,et al.  Life on the Edge: Latching Dynamics in a Potts Neural Network , 2017, Entropy.

[10]  David Howard,et al.  The effects of lexical stress in aphasic word production , 2002 .

[11]  Alessandro Treves,et al.  Reducing a cortical network to a Potts model yields storage capacity estimates. , 2017 .

[12]  T. M. Mayhew,et al.  Anatomy of the Cortex: Statistics and Geometry. , 1991 .

[13]  Diane Brentari,et al.  Effects of language modality on word segmentation : An experimental study of phonological factors in a sign language * , 2005 .

[14]  Margaret Wilson,et al.  Comparing Sign Language and Speech Reveals a Universal Limit on Short-Term Memory Capacity , 2006, Psychological science.

[15]  Alfonso Caramazza,et al.  The role of the (output) phonological buffer in reading, writing, and repetition , 1986 .

[16]  Margaret Wilson,et al.  A “word length effect”for sign language: Further evidence for the role of language in structuring working memory , 1998, Memory & cognition.

[17]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Irit Meir,et al.  A Language in Space: The Story of Israeli Sign Language , 2007 .

[19]  S. E. Avons,et al.  Output Decay in Immediate Serial Recall: Speech Time Revisited ☆ , 2002 .

[20]  Ronnie B. Wilbur,et al.  SYLLABLES AND SEGMENTS: HOLD THE MOVEMENT AND MOVE THE HOLDS! , 1993 .

[21]  M. Treisman,et al.  There Are Two Word-Length Effects in Verbal Short-Term Memory: Opposed Effects of Duration and Complexity , 1997 .

[22]  P. Siple,et al.  Theoretical issues in sign language research , 1990 .

[23]  Matthew L. Hall,et al.  Persistent Difference in Short-Term Memory Span Between Sign and Speech , 2006, Psychological science.

[24]  G. Waters,et al.  Articulatory and Phonological Determinants of Word Length Effects in Span Tasks , 1992, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[25]  David Howard,et al.  Generalised improvement in speech production for a subject with reproduction conduction aphasia , 2002 .

[26]  C. Hulme,et al.  Working Memory Development: The Effects of Speech Rate, Word Length, and Acoustic Similarity on Serial Recall. , 1989 .

[27]  M. Delazer,et al.  Transcoding and calculation in aphasia , 2001, Aphasiology.

[28]  John J. McCarthy,et al.  A prosodic theory of nonconcatenative morphology , 1981 .

[29]  Margaret Wilson,et al.  A visuospatial “phonological loop” in working memory: Evidence from American Sign Language , 1997, Memory & cognition.

[30]  Elisabet Service,et al.  The Effect of Word Length on Immediate Serial Recall Depends on Phonological Complexity, Not Articulatory Duration , 1998 .

[31]  R. Battison,et al.  Lexical Borrowing in American Sign Language , 1978 .

[32]  Huyghebaert,et al.  Thermodynamic properties of the Q-state Potts-glass neural network. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[33]  Naama Friedmann,et al.  Steps towards understanding the phonological output buffer and its role in the production of numbers, morphemes, and function words , 2015, Cortex.

[34]  Daphne Bavelier,et al.  Short-term memory span: insights from sign language , 2004, Nature Neuroscience.

[35]  Harry van der Hulst,et al.  Units in the analysis of signs , 1993, Phonology.

[36]  Ursula Bellugi,et al.  Remembering in signs , 1975, Cognition.

[37]  Chloe Marshall,et al.  The Acquisition of Sign Language: The Impact of Phonetic Complexity on Phonology , 2010 .

[38]  U. Bellugi,et al.  Formal Devices for Creating New Signs in American Sign Language , 2013 .

[39]  Margaret Wilson,et al.  The effect of irrelevant visual input on working memory for sign language. , 2003, Journal of deaf studies and deaf education.

[40]  W. Sandler A sonority cycle in American Sign Language , 1993, Phonology.

[41]  Alessandro Treves,et al.  Frontal latching networks: a possible neural basis for infinite recursion , 2005, Cognitive neuropsychology.

[42]  Maya Arad Roots and Patterns: Hebrew Morpho-syntax , 2005 .

[43]  N. Friedmann,et al.  Phonological short-term memory in conduction aphasia , 2012 .

[44]  W. Sandler,et al.  On the nature of phonological structure in sign language , 1993, Phonology.

[45]  T Shallice,et al.  THE SELECTIVE IMPAIRMENT OF THE PHONOLOGICAL OUTPUT BUFFER , 2000, Cognitive neuropsychology.

[46]  Carlo Geraci,et al.  How grammar can cope with limited short-term memory: Simultaneity and seriality in sign languages , 2008, Cognition.

[47]  Daniel J. Amit,et al.  Modeling brain function: the world of attractor neural networks, 1st Edition , 1989 .

[48]  Kanter Potts-glass models of neural networks. , 1988, Physical review. A, General physics.

[49]  Nigel A. Brown,et al.  On the other hand , 1993, Nature.

[50]  W. Stokoe,et al.  Sign language structure: an outline of the visual communication systems of the American deaf. 1960. , 1961, Journal of deaf studies and deaf education.

[51]  Reversing the Word-Length Effect: A Comment on Caplan, Rochon, and Waters , 1994 .

[52]  Alessandro Treves,et al.  Cortical free-association dynamics: distinct phases of a latching network. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[53]  Shmuel Bolozky,et al.  Israeli Hebrew phonology , 1997 .

[54]  R. B. Potts Some generalized order-disorder transformations , 1952, Mathematical Proceedings of the Cambridge Philosophical Society.

[55]  Wendy Sandler,et al.  Sign Language and Linguistic Universals: Entering the lexicon: lexicalization, backformation, and cross-modal borrowing , 2006 .

[56]  M. D’Esposito Working memory. , 2008, Handbook of clinical neurology.

[57]  Günther Palm,et al.  Cell assemblies in the cerebral cortex , 2014, Biological Cybernetics.

[58]  Gary Morgan,et al.  The First Signs of Language: Phonological Development in British Sign Language. , 2007 .

[59]  Edith A. Moravcsik,et al.  Markedness — An Overview , 1986 .

[60]  F. Pellegrino,et al.  Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche , 2019, Science Advances.

[61]  Lynn A. Friedman,et al.  Phonology of a Soundless Language: Phonological Structure of the American Sign Language , 1976 .

[62]  Alessandro Treves,et al.  The Capacity for Correlated Semantic Memories in the Cortex , 2018, bioRxiv.

[63]  B. Rapp,et al.  Discreteness and interactivity in spoken word production. , 2000, Psychological review.

[64]  Naama Friedmann,et al.  The representation of lexical-syntactic information: Evidence from syntactic and lexical retrieval impairments in aphasia , 2012, Cortex.

[65]  M. Weinrich,et al.  Further Evidence of a Dissociation between Output Phonological and Orthographic Lexicons: A Case Study , 1997 .

[66]  E. Battistella Markedness: The Evaluative Superstructure of Language , 1990 .

[67]  E. Klima The signs of language , 1979 .

[68]  P. Morosan,et al.  Broca's Region: Novel Organizational Principles and Multiple Receptor Mapping , 2010, PLoS biology.

[69]  A. Olson,et al.  Phonological–lexical activation: A lexical component or an output buffer? Evidence from aphasic errors , 2011, Cortex.

[70]  Cristina Romani,et al.  Are there distinct input and output buffers? Evidence from an aphasic patient with an impaired output buffer , 1992 .

[71]  R. Wilbur Effects of Varying Rate of Signing on ASL Manual Signs and Nonmanual Markers , 2009, Language and speech.

[72]  Pier Marco Bertinetto,et al.  The sound pattern of Standard Italian, as compared with the varieties spoken in Florence, Milan and Rome , 2005, Journal of the International Phonetic Association.

[73]  Giusy Messina,et al.  Words and number words transcoding: A retrospective study on 57 aphasic subjects , 2009, Journal of Neurolinguistics.

[74]  Irit Meir,et al.  Sign languages and compounding , 2010 .

[75]  Scott K. Liddell,et al.  American Sign Language: The Phonological Base , 2013 .

[76]  Jerker Rönnberg,et al.  Neural correlates of working memory for sign language. , 2004, Brain research. Cognitive brain research.

[77]  G. Dell,et al.  Lexical access in aphasic and nonaphasic speakers. , 1997, Psychological review.

[78]  G. Marcus,et al.  The scope of linguistic generalizations: evidence from Hebrew word formation , 2002, Cognition.

[79]  Diane Brentari,et al.  A Prosodic Model of Sign Language Phonology , 1999 .

[80]  G. Waters,et al.  Articulatory Length and Phonological Similarity in Span Tasks: A Reply to Baddeley and Andrade , 1994, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[81]  David M. Perlmutter SONORITY AND SYLLABLE STRUCTURE IN AMERICAN SIGN LANGUAGE , 1993 .

[82]  Wendy Sandler,et al.  Phonological features and feature classes: The case of movements in sign language , 1996 .

[83]  K. Rice The Cambridge Handbook of Phonology: Markedness in phonology , 2007 .

[84]  A. Baddeley,et al.  Word length and the structure of short-term memory , 1975 .

[85]  Wendy Sandler,et al.  Taking meaning in hand : Iconic motivations in two-handed signs , 2016 .

[86]  Gary Morgan,et al.  Making sense of nonsense in British Sign Language (BSL): The contribution of different phonological parameters to sign recognition , 2009, Memory & cognition.

[87]  Wendy Sandler,et al.  The Spreading Hand Autosegment of American Sign Language , 2013 .

[88]  Désiré Bollé,et al.  Stability properties of Potts neural networks with biased patterns and low loading , 1991 .

[89]  R. Tremblay,et al.  GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits , 2016, Neuron.

[90]  D. Howard,et al.  Dissociating Effects of Number of Phonemes, Number of Syllables, and Syllabic Complexity on Word Production in Aphasia: It's the Number of Phonemes that Counts , 2004, Cognitive neuropsychology.

[91]  Heinz J. Giegerich,et al.  English Phonology: An Introduction , 1992 .

[92]  U. Bellugi,et al.  Dissociation between linguistic and nonlinguistic gestural systems: A case for compositionality , 1992, Brain and Language.