Corticostriatal response selection in sentence production: Insights from neural network simulation with reservoir computing

[1]  A. Luria,et al.  Towards the mechanisms of "dynamic aphasia". , 1967, Acta neurologica et psychiatrica Belgica.

[2]  Philip N. Johnson-Laird,et al.  Mental Models in Cognitive Science , 1980, Cogn. Sci..

[3]  G. E. Alexander,et al.  Parallel organization of functionally segregated circuits linking basal ganglia and cortex. , 1986, Annual review of neuroscience.

[4]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..

[5]  James L. McClelland,et al.  Learning the structure of event sequences. , 1991, Journal of experimental psychology. General.

[6]  Jeffrey L. Elman,et al.  Distributed Representations, Simple Recurrent Networks, and Grammatical Structure , 1991, Mach. Learn..

[7]  Jérôme Yelnik,et al.  Morphological taxonomy of the neurons of the primate striatum , 1991, The Journal of comparative neurology.

[8]  W. Schultz,et al.  Responses of monkey dopamine neurons during learning of behavioral reactions. , 1992, Journal of neurophysiology.

[9]  J. Elman Learning and development in neural networks: the importance of starting small , 1993, Cognition.

[10]  Wolfgang Klein,et al.  Time in language , 1994 .

[11]  M. Alexander,et al.  Subcortical aphasia , 1994, Neurology.

[12]  T. Carrell,et al.  Central Auditory System Plasticity Associated with Speech Discrimination Training , 1995, Journal of Cognitive Neuroscience.

[13]  A. Goldberg Constructions: A Construction Grammar Approach to Argument Structure , 1995 .

[14]  Peter Ford Dominey,et al.  A Model of Corticostriatal Plasticity for Learning Oculomotor Associations and Sequences , 1995, Journal of Cognitive Neuroscience.

[15]  C. Koch,et al.  Recurrent excitation in neocortical circuits , 1995, Science.

[16]  Axel Cleeremans,et al.  Comparing direct and indirect measures of sequence learning , 1996 .

[17]  C. Gerfen,et al.  The frontal cortex-basal ganglia system in primates. , 1996, Critical reviews in neurobiology.

[18]  Peter Ford Dominey,et al.  Encoding behavioral context in recurrent networks of the fronto-striatal system: a simulation study. , 1997, Brain research. Cognitive brain research.

[19]  S. Pinker,et al.  A Neural Dissociation within Language: Evidence that the Mental Dictionary Is Part of Declarative Memory, and that Grammatical Rules Are Processed by the Procedural System , 1997, Journal of Cognitive Neuroscience.

[20]  Steven L. Small,et al.  Subcortical aphasia. Commentaries. Reply , 1997 .

[21]  D. Buonomano,et al.  Cortical plasticity: from synapses to maps. , 1998, Annual review of neuroscience.

[22]  J. Hollerman,et al.  Dopamine neurons report an error in the temporal prediction of reward during learning , 1998, Nature Neuroscience.

[23]  D. Pandya,et al.  Corticostriatal connections of the superior temporal region in rhesus monkeys , 1998, The Journal of comparative neurology.

[24]  Nick Chater,et al.  Connectionist natural language processing: the state of the art , 1999 .

[25]  Mark Steedman,et al.  Information Structure and the Syntax-Phonology Interface , 2000, Linguistic Inquiry.

[26]  M. Tomasello The item-based nature of children’s early syntactic development , 2000, Trends in Cognitive Sciences.

[27]  Alison Wray,et al.  The functions of formulaic language: an integrated model , 2000 .

[28]  Peter Ford Dominey,et al.  Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant , 2000 .

[29]  D. Perani,et al.  Syntax and the Brain: Disentangling Grammar by Selective Anomalies , 2001, NeuroImage.

[30]  M. Ullman A neurocognitive perspective on language: The declarative/procedural model , 2001, Nature Reviews Neuroscience.

[31]  M T Ullman,et al.  The Declarative/Procedural Model of Lexicon and Grammar , 2001, Journal of psycholinguistic research.

[32]  T. Givón Syntax : an introduction , 2001 .

[33]  Kae Nakamura,et al.  Central mechanisms of motor skill learning , 2002, Current Opinion in Neurobiology.

[34]  R. Jackendoff Foundations of Language: Brain, Meaning, Grammar, Evolution , 2002 .

[35]  F. Chang Symbolically speaking: a connectionist model of sentence production , 2002 .

[36]  Peter Ford Dominey,et al.  A Model of Learning Syntactic Comprehension for Natural and Artificial Grammars , 2002 .

[37]  Henry Markram,et al.  Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.

[38]  D. V. von Cramon,et al.  Syntactic language processing: ERP lesion data on the role of the basal ganglia , 2003, Journal of the International Neuropsychological Society.

[39]  M. Tomasello Constructing a Language: A Usage-Based Theory of Language Acquisition , 2003 .

[40]  A. Friederici,et al.  The brain basis of syntactic processes: functional imaging and lesion studies , 2003, NeuroImage.

[41]  A. Friederici,et al.  Why the P600 is not just a P300: the role of the basal ganglia , 2003, Clinical Neurophysiology.

[42]  D. V. von Cramon,et al.  Syntactic comprehension in Parkinson's disease: investigating early automatic and late integrational processes using event-related brain potentials. , 2003, Neuropsychology.

[43]  Peter Ford Dominey A conceptuocentric shift in the characterization of language , 2003 .

[44]  Adele E. Goldberg Constructions: a new theoretical approach to language , 2003, Trends in Cognitive Sciences.

[45]  Peter Ford Dominey,et al.  Neurological basis of language and sequential cognition: Evidence from simulation, aphasia, and ERP studies , 2003, Brain and Language.

[46]  Harald Haas,et al.  Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.

[47]  M. Pickering,et al.  Toward a mechanistic psychology of dialogue , 2004, Behavioral and Brain Sciences.

[48]  Peter Ford Dominey Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning , 1995, Biological Cybernetics.

[49]  J. Joseph,et al.  Prefrontal cortex and spatial sequencing in macaque monkey , 2004, Experimental Brain Research.

[50]  P. Johnson-Laird The history of mental models , 2004 .

[51]  James L. McClelland,et al.  Graded state machines: The representation of temporal contingencies in simple recurrent networks , 1991, Machine Learning.

[52]  M. Ullman Contributions of memory circuits to language: the declarative/procedural model , 2004, Cognition.

[53]  Anne-Catherine Bachoud-Lévi,et al.  The role of the striatum in rule application: the model of Huntington's disease at early stage. , 2005, Brain : a journal of neurology.

[54]  Peter Ford Dominey,et al.  Learning to talk about events from narrated video in a construction grammar framework , 2005, Artif. Intell..

[55]  Peter Ford Dominey Aspects of descriptive, referential, and information structure in phrasal semantics , 2005 .

[56]  Peter Ford Dominey,et al.  A Neurolinguistic Model of Grammatical Construction Processing , 2006, Journal of Cognitive Neuroscience.

[57]  Peter Ford Dominey,et al.  When Broca Experiences the Janus Syndrome: an ER-FMRI Study Comparing Sentence Comprehension and Cognitive Sequence Processing , 2006, Cortex.

[58]  Hiroko Nakano,et al.  The roles of sequencing and verbal working memory in sentence comprehension deficits in Parkinson’s disease , 2006, Brain and Language.

[59]  Peter Ford Dominey,et al.  Structure Mapping And Semantic Integration in a Construction-Based Neurolinguistic Model of Sentence Processing , 2006, Cortex.

[60]  Paolo Calabresi,et al.  Dopamine-mediated regulation of corticostriatal synaptic plasticity , 2007, Trends in Neurosciences.

[61]  Jessica A. Grahn,et al.  The role of the basal ganglia in learning and memory: Neuropsychological studies , 2009, Behavioural Brain Research.

[62]  Jesse Hochstadt,et al.  Set-shifting and the on-line processing of relative clauses in Parkinson's disease: Results from a novel eye-tracking method , 2009, Cortex.

[63]  Peter Ford Dominey,et al.  Neural network processing of natural language: II. Towards a unified model of corticostriatal function in learning sentence comprehension and non-linguistic sequencing , 2009, Brain and Language.

[64]  W. Singer,et al.  Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex , 2009, PLoS biology.

[65]  Herbert Jaeger,et al.  Reservoir computing approaches to recurrent neural network training , 2009, Comput. Sci. Rev..

[66]  Franklin Chang,et al.  Learning to order words: A connectionist model of heavy NP shift and accessibility effects in Japanese and English , 2009 .

[67]  Peter Ford Dominey,et al.  Cortico-striatal function in sentence comprehension: Insights from neurophysiology and modeling , 2009, Cortex.

[68]  Kevan A. C. Martin,et al.  Topology and dynamics of the canonical circuit of cat V1 , 2009, Neural Networks.

[69]  Xiao-Jing Wang,et al.  Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses , 2010, Front. Comput. Neurosci..

[70]  Philip N Johnson-Laird,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:Mental models and human reasoning , 2010 .

[71]  Lori J. P. Altmann,et al.  High-Level Language Production in Parkinson's Disease: A Review , 2011, Parkinson's disease.

[72]  Franklin Chang,et al.  A connectionist account of the acquisition and processing of relative clauses , 2011 .

[73]  Peter Gärdenfors,et al.  Event structure, conceptual spaces and the semantics of verbs , 2012 .

[74]  Lubica Benuskova,et al.  Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation , 2012, Cognition.

[75]  Benjamin Schrauwen,et al.  Learning slow features with reservoir computing for biologically-inspired robot localization , 2012, Neural Networks.

[76]  Benjamin Schrauwen,et al.  Recurrent Kernel Machines: Computing with Infinite Echo State Networks , 2012, Neural Computation.

[77]  Ewout H. Meijer,et al.  Detecting Concealed Information from Groups Using a Dynamic Questioning Approach: Simultaneous Skin Conductance Measurement and Immediate Feedback , 2013, Front. Psychology.

[78]  M. Pickering,et al.  An integrated theory of language production and comprehension. , 2013, The Behavioral and brain sciences.

[79]  Peter Ford Dominey,et al.  Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing , 2013, PloS one.

[80]  Peter Ford Dominey,et al.  Recurrent temporal networks and language acquisition—from corticostriatal neurophysiology to reservoir computing , 2013, Front. Psychol..

[81]  Steven L. Small,et al.  The neostriatum and response selection in overt sentence production: An fMRI study , 2013, NeuroImage.

[82]  H. Raat,et al.  First-Time Parents Are Not Well Enough Prepared for the Safety of Their Infant , 2013, PloS one.

[83]  Lee Ryan,et al.  Role of the striatum in language: Syntactic and conceptual sequencing , 2013, Brain and Language.

[84]  Xiao-Jing Wang,et al.  The importance of mixed selectivity in complex cognitive tasks , 2013, Nature.

[85]  Herbert Jaeger,et al.  Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks , 2013, Neural Computation.

[86]  Gary S Dell,et al.  The P-chain: relating sentence production and its disorders to comprehension and acquisition , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[87]  David Sussillo,et al.  Neural circuits as computational dynamical systems , 2014, Current Opinion in Neurobiology.

[88]  Peter Ford Dominey,et al.  Exploring the acquisition and production of grammatical constructions through human-robot interaction with echo state networks , 2014, Front. Neurorobot..

[89]  Ardi Roelofs,et al.  A dorsal-pathway account of aphasic language production: The WEAVER++/ARC model , 2014, Cortex.