DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 21

1
Neural correlates of semantic integration in Spanish verb-noun compounds: an ERP study ...
BASE
Show details
2
Neural correlates of semantic integration in Spanish verb-noun compounds: an ERP study ...
BASE
Show details
3
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
In: Computer Science: Faculty Publications and Other Works (2020)
Abstract: A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modelling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited–bootstrapping from the features returned by Word Embedding mechanisms–to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications.
Keyword: Applied Linguistics; Brain-Inspired Artificial Neural Networks; computational linguistics; Computer Sciences; cortical dynamics; Grammar Emergence; Online sentence processing; Psycholinguistics and Neurolinguistics; unsupervised learning
URL: https://ecommons.luc.edu/cs_facpubs/240
https://www.frontiersin.org/articles/10.3389/fncir.2020.00012/abstract
BASE
Hide details
4
Towards High-End Scalability on Bio-Inspired Computational Models
In: Computer Science: Faculty Publications and Other Works (2020)
BASE
Show details
5
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
Dematties, Dario; Rizzi, Silvio; Thiruvathukal, George K.. - : Frontiers Media S.A., 2020
BASE
Show details
6
Grammar emergence in cortical dynamics, a computational approach ...
BASE
Show details
7
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
8
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
9
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
10
neurophon/neurophon: Release for PLOS submission ...
BASE
Show details
11
neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata ...
BASE
Show details
12
neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
13
neurophon/neurophon: Prerelease ...
BASE
Show details
14
neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
15
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM)
In: Computer Science: Faculty Publications and Other Works (2019)
BASE
Show details
16
Neurocomputational cortical memory for spectro-temporal phonetic abstraction.
In: Computer Science: Faculty Publications and Other Works (2019)
BASE
Show details
17
Phonetic acquisition in cortical dynamics, a computational approach
In: Computer Science: Faculty Publications and Other Works (2019)
BASE
Show details
18
Phonetic acquisition in cortical dynamics, a computational approach
In: Software Systems Laboratory (2019)
BASE
Show details
19
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ...
BASE
Show details
20
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ...
BASE
Show details

Page: 1 2

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
21
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern