Context-dependent associations in linear distributed memories

Mizraji, Eduardo

doi:10.1016/s0092-8240(89)80067-9

Cited by 29 publications

(36 citation statements)

References 11 publications

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“…Moreover, these models open up the possibility of building better neural models of the pathophysiology of schizophrenia (Chen, 1994;Talamini et al, 2005;Hoffman andMcGlashan, 1997, 1998;Hoffman et al, 1995). Previously, we (Valle-Lisboa et al, 2005) replicated the results of Hoffman, McGlashan and coworkers (Hoffman & McGlashan, 1998, Hoffman et al ,1995 concerning verbal hallucinations, using different models of neural networks (Mizraji, 1989).…”

Section: Discussion and Future Challengessupporting

confidence: 59%

Detecting order–disorder transitions in discourse: Implications for schizophrenia

Cabana¹,

Valle-Lisboa²,

Elvevåg³

et al. 2011

Schizophrenia Research

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Several psychiatric and neurological conditions affect the semantic organization and content of a patient's speech. Specifically, the discourse of patients with schizophrenia is frequently characterized as lacking coherence. The evaluation of disturbances in discourse is often used in diagnosis and in assessing treatment efficacy, and is an important factor in prognosis.Measuring these deviations, such as "loss of meaning" and incoherence, is difficult and requires substantial human effort. Computational procedures can be employed to characterize the nature of the anomalies in discourse. We present a set of new tools derived from network theory and information science that may assist in empirical and clinical studies of communication patterns in patients, and provide the foundation for future automatic procedures. First we review information science and complex network approaches to measuring semantic coherence, and then we introduce a representation of discourse that allows for the computation of measures of disorganization. Finally we apply these tools to speech transcriptions from patients and a healthy participant, illustrating the implications and potential of this novel framework.

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Section: Discussion and Future Challengessupporting

confidence: 59%

Detecting order–disorder transitions in discourse: Implications for schizophrenia

Cabana¹,

Valle-Lisboa²,

Elvevåg³

et al. 2011

Schizophrenia Research

View full text Add to dashboard Cite

show abstract

“…In response to these criticisms, Dolan and Smolensky (1989); Smolensky (1990) and independently Mizraji (1989Mizraji ( , 1992 suggested a unifying framework for distributed representations of structured symbolic information such as lists or phrase structure trees. According to Smolensky (1990), this approach comprises three steps:…”

Section: Dynamical System Modelsmentioning

confidence: 99%

“…In this representation, the tensor products are then given by Kronecker products (Mizraji 1989(Mizraji , 1992) of filler and role vectors, f i r k ; where…”

Section: Tensor Product Top-down Recognizermentioning

confidence: 99%

“…Using a particular ERP experiment on the processing of German subjectobject ambiguities Bader and Meng 1999;beim Graben et al 2000;Vos et al 2001;Frisch et al 2002Frisch et al , 2004Schlesewsky and Bornkessel 2006), a locally ambiguous context-free grammar and two appropriate deterministic pushdown recognizers are constructed from a Government and Binding (Chomsky 1981;Haegeman 1994) representation of the stimulus material. Subsequently, we present two different implementations of these automata by nonlinear dynamical systems, resulting from universal tensor product representations (Dolan and Smolensky 1989;Mizraji 1989;Smolensky 1990;Mizraji 1992;Smolensky and Legendre 2006;Smolensky 2006). The first model is a parallel distributed processing (PDP) model (Rumelhart et al 1986) in a high-dimensional activation vector space.…”

Section: Introductionmentioning

confidence: 99%

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Towards dynamical system models of language-related brain potentials

2008

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Event-related brain potentials (ERP) are important neural correlates of cognitive processes. In the domain of language processing, the N400 and P600 reflect lexicalsemantic integration and syntactic processing problems, respectively. We suggest an interpretation of these markers in terms of dynamical system theory and present two nonlinear dynamical models for syntactic computations where different processing strategies correspond to functionally different regions in the system's phase space.

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“…It allows the explicit construction of neural realizations for highly structured mental representations by means of filler/role decompositions and tensor product representations (cf. Mizraji (1989Mizraji ( , 1992 for a related approach). Moreover ICS suggests a dual aspect interpretation: at the macroscopic, symbolic level, cognitive computations are performed by the complex dynamics of distributed activation patterns; at the microscopic, connectionist level, these patterns are generated by deterministic evolution laws governing neural network dynamics (Smolensky and Legendre 2006a, b;Smolensky 2006;.…”

Section: Introductionmentioning

confidence: 99%

Unifying syntactic theory and sentence processing difficulty through a connectionist minimalist parser

Gerth

Graben

2009

Cogn Neurodyn

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Syntactic theory provides a rich array of representational assumptions about linguistic knowledge and processes. Such detailed and independently motivated constraints on grammatical knowledge ought to play a role in sentence comprehension. However most grammar-based explanations of processing difficulty in the literature have attempted to use grammatical representations and processes per se to explain processing difficulty. They did not take into account that the description of higher cognition in mind and brain encompasses two levels: on the one hand, at the macrolevel, symbolic computation is performed, and on the other hand, at the microlevel, computation is achieved through processes within a dynamical system. One critical question is therefore how linguistic theory and dynamical systems can be unified to provide an explanation for processing effects. Here, we present such a unification for a particular account to syntactic theory: namely a parser for Stabler's Minimalist Grammars, in the framework of Smolensky's Integrated Connectionist/Symbolic architectures. In simulations we demonstrate that the connectionist minimalist parser produces predictions which mirror global empirical findings from psycholinguistic research.

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Context-dependent associations in linear distributed memories

Cited by 29 publications

References 11 publications

Detecting order–disorder transitions in discourse: Implications for schizophrenia

Detecting order–disorder transitions in discourse: Implications for schizophrenia

Towards dynamical system models of language-related brain potentials

Unifying syntactic theory and sentence processing difficulty through a connectionist minimalist parser

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