Generalized Search and Cyclic Derivation by Phase *

Kato, Tokio; Kuno, Masakazu; Narita, Hiroki; Zushi, Mihoko

doi:10.4324/9781315442808-4

Cited by 2 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a secondary concern, I will assume that feature valuation (along with feature inheritance and Agree) are both cases of a more generalized Search operation, which forms relations between identical feature complexes (Ohta et al, 2013 ; Kato et al, 2014 ). Kato et al ( 2014 ) even go as far as claiming that Search is in turn just an instance of Merge, and that the human language faculty may reduce to pure Merge. The Basic Label model and Kato et al consequently yield different predictions about the dynome.…”

Section: Biophysical Directionsmentioning

confidence: 99%

The brain dynamics of linguistic computation

Murphy

2015

Front. Psychol.

View full text Add to dashboard Cite

Neural oscillations at distinct frequencies are increasingly being related to a number of basic and higher cognitive faculties. Oscillations enable the construction of coherently organized neuronal assemblies through establishing transitory temporal correlations. By exploring the elementary operations of the language faculty—labeling, concatenation, cyclic transfer—alongside neural dynamics, a new model of linguistic computation is proposed. It is argued that the universality of language, and the true biological source of Universal Grammar, is not to be found purely in the genome as has long been suggested, but more specifically within the extraordinarily preserved nature of mammalian brain rhythms employed in the computation of linguistic structures. Computational-representational theories are used as a guide in investigating the neurobiological foundations of the human “cognome”—the set of computations performed by the nervous system—and new directions are suggested for how the dynamics of the brain (the “dynome”) operate and execute linguistic operations. The extent to which brain rhythms are the suitable neuronal processes which can capture the computational properties of the human language faculty is considered against a backdrop of existing cartographic research into the localization of linguistic interpretation. Particular focus is placed on labeling, the operation elsewhere argued to be species-specific. A Basic Label model of the human cognome-dynome is proposed, leading to clear, causally-addressable empirical predictions, to be investigated by a suggested research program, Dynamic Cognomics. In addition, a distinction between minimal and maximal degrees of explanation is introduced to differentiate between the depth of analysis provided by cartographic, rhythmic, neurochemical, and other approaches to computation.

show abstract

Section: Biophysical Directionsmentioning

confidence: 99%

The brain dynamics of linguistic computation

Murphy

2015

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Such relations include Agree(ment), chains formed by IM and binding. Kato et al (2014) attempt to unify the operations proposed to capture these relations under a general search operation, which is referred to as Search and characterized as in (1).…”

Section: Decomposing Searchmentioning

confidence: 99%

“…We claim that what is called Search in Kato et al (2014) is Merge 0 (Search 0 (Σ)) (henceforth, M 0 •S 0 (Σ)), and that when the output of M 0 •S 0 (Σ) is a twomembered set {X, Y}, it is interpreted as "there is a relation between X and Y" at SEM and/or PHON. 7 Let us see how agreement, chain-formation and binding, which Kato et al (2014) unify under Search, are recaptured under M 0 •S 0 (Σ). 8 First, consider ϕ-agreement between T and the subject nP.…”

Section: Decomposing Searchmentioning

confidence: 99%

“…Departing from Kato et al (2014), we assume that binding is a relation established between two nPs, rather than agreement in some specific feature (see note 3). At the derivational stage given in (8b), Search 0 first applies to vP and picks out himself and John.…”

Section: B [ Vp John [ Vp Love Himself ]]mentioning

confidence: 99%

“…This chapter is organized as follows. In Section 2, we will review the notion of Search discussed by Kato et al (2014), which was proposed as a way to unify the otherwise disparate relation-formation operations, including Agree, chainformation, and binding. We will show that the relevant notion of Search can be decomposed into two more primitive operations: the first operation, which we will call 0-Search (Search 0 ), is the selection of n (typically two) elements, corresponding to what are generally called the "probe" and the "goal"; then, the second operation 0-Merge (Merge 0 ) is the formation of a linguistic relation between X and Y, which we propose to characterize as {X, Y}.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Advances in Biolinguistics

2016

View full text Add to dashboard Cite

Biolinguistics is a highly interdisciplinary field that seeks the rapprochement between linguistics and biology. Linking theoretical linguistics, theoretical biology, genetics, neuroscience and cognitive psychology, this book offers a collection of chapters situating the enterprise conceptually, highlighting both the promises and challenges of the field, and chapters focusing on the challenges and prospects of taking interdisciplinarity seriously. It provides concrete illustrations of some of the cutting-edge research in biolinguistics and piques the interest of undergraduate students looking for a field to major in and inspires graduate students on possible research directions. It is also meant to show specialists in adjacent fields how a particular strand of theoretical linguistics relates to their concerns, and in so doing, the book intends to foster collaboration across disciplines.

show abstract

Generalized Search and Cyclic Derivation by Phase *

Cited by 2 publications

References 0 publications

The brain dynamics of linguistic computation

The brain dynamics of linguistic computation

Advances in Biolinguistics

Contact Info

Product

Resources

About