Open and closed loops: A computational approach to attention and consciousness
Within recent years, researchers have proposed the independence of attention and consciousness on both empirical and conceptual grounds. However, the elusive nature of these constructs complicates progress in the investigation of their interaction. We present a framework within which we conceptualiz...
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
University of Finance and Management in Warsaw
2012
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709102/ |
| id |
pubmed-3709102 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-37091022013-07-12 Open and closed loops: A computational approach to attention and consciousness Trapp, Sabrina Schroll, Henning Hamker, Fred H. Research Article Within recent years, researchers have proposed the independence of attention and consciousness on both empirical and conceptual grounds. However, the elusive nature of these constructs complicates progress in the investigation of their interaction. We present a framework within which we conceptualize attention and consciousness in computational terms. Here, the concepts are consi-dered as large-scale, functionally and structurally different processes, embedded in a biologically inspired architecture, spanning the full arc from stimulus to response. Our architecture assumes a general independence of attention and consciousness, but supposes strong interactions. Furthermore, it addresses the developmental aspect, stressing that these functions have to gradually develop through learning. University of Finance and Management in Warsaw 2012-02-03 /pmc/articles/PMC3709102/ /pubmed/23853675 http://dx.doi.org/10.2478/v10053-008-0096-y Text en Copyright: © 2012 University of Finance and Management in Warsaw http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Trapp, Sabrina Schroll, Henning Hamker, Fred H. |
| spellingShingle |
Trapp, Sabrina Schroll, Henning Hamker, Fred H. Open and closed loops: A computational approach to attention and consciousness |
| author_facet |
Trapp, Sabrina Schroll, Henning Hamker, Fred H. |
| author_sort |
Trapp, Sabrina |
| title |
Open and closed loops: A computational approach to attention and
consciousness |
| title_short |
Open and closed loops: A computational approach to attention and
consciousness |
| title_full |
Open and closed loops: A computational approach to attention and
consciousness |
| title_fullStr |
Open and closed loops: A computational approach to attention and
consciousness |
| title_full_unstemmed |
Open and closed loops: A computational approach to attention and
consciousness |
| title_sort |
open and closed loops: a computational approach to attention and
consciousness |
| description |
Within recent years, researchers have proposed the independence of attention and
consciousness on both empirical and conceptual grounds. However, the elusive
nature of these constructs complicates progress in the investigation of their
interaction. We present a framework within which we conceptualize attention and
consciousness in computational terms. Here, the concepts are consi-dered as
large-scale, functionally and structurally different processes, embedded in a
biologically inspired architecture, spanning the full arc from stimulus to
response. Our architecture assumes a general independence of attention and
consciousness, but supposes strong interactions. Furthermore, it addresses the
developmental aspect, stressing that these functions have to gradually develop
through learning. |
| publisher |
University of Finance and Management in Warsaw |
| publishDate |
2012 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709102/ |
| _version_ |
1611994251681333248 |