DE eng

Search in the Catalogues and Directories

Hits 1 – 19 of 19

1
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
In: Computer Science: Faculty Publications and Other Works (2020)
BASE
Show details
2
Towards High-End Scalability on Bio-Inspired Computational Models
In: Computer Science: Faculty Publications and Other Works (2020)
BASE
Show details
3
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
4
Grammar emergence in cortical dynamics, a computational approach ...
BASE
Show details
5
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
6
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
7
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
8
neurophon/neurophon: Release for PLOS submission ...
BASE
Show details
9
neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata ...
BASE
Show details
10
neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
11
neurophon/neurophon: Prerelease ...
BASE
Show details
12
neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
BASE
Show details
13
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM)
In: Computer Science: Faculty Publications and Other Works (2019)
BASE
Show details
14
Neurocomputational cortical memory for spectro-temporal phonetic abstraction.
In: Computer Science: Faculty Publications and Other Works (2019)
BASE
Show details
15
Phonetic acquisition in cortical dynamics, a computational approach
In: Computer Science: Faculty Publications and Other Works (2019)
BASE
Show details
16
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ...
BASE
Show details
17
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ...
BASE
Show details
18
Phonetic acquisition in cortical dynamics, a computational approach
Abstract: Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream.
Keyword: Research Article
URL: http://www.ncbi.nlm.nih.gov/pubmed/31173613
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555517/
https://doi.org/10.1371/journal.pone.0217966
BASE
Hide details
19
A Multi-Platform Application Suite for Enhancing South Asian Language Pedagogy
In: Computer Science: Faculty Publications and Other Works (2003)
BASE
Show details

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
19
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern