Zobrazeno 1 - 7
of 7
pro vyhledávání: '"James Matthew Tromans"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 6 (2012)
This paper investigates how a neural network model of the ventral visual pathway, VisNet, can form separate view invariant representations of a number of objects seen rotating together. In particular, in the current work one of the rotating objects i
Externí odkaz:
https://doaj.org/article/f1e29904777a47a787835bc33b7975ac
Publikováno v:
PLoS ONE, Vol 6, Iss 10, p e25616 (2011)
Experimental studies have provided evidence that the visual processing areas of the primate brain represent facial identity and facial expression within different subpopulations of neurons. For example, in non-human primates there is evidence that ce
Externí odkaz:
https://doaj.org/article/942c498d99294b44aaeef59d6991ff82
Publikováno v:
Network: Computation in Neural Systems. 23:1-23
Individual cells that respond preferentially to particular objects have been found in the ventral visual pathway. How the brain is able to develop neurons that exhibit these object selective responses poses a significant challenge for computational m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61ab83fdd414d8f907901e2b4e5cae92
https://doi.org/10.3109/0954898x.2011.651520
https://doi.org/10.3109/0954898x.2011.651520
Publikováno v:
Network: Computation in Neural Systems. 18:161-187
Over successive stages, the ventral visual system develops neurons that respond with view, size and position invariance to objects including faces. A major challenge is to explain how invariant representations of individual objects could develop give
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff1c2803fcb08b00954b1ca296156330
https://doi.org/10.1080/09548980701556055
https://doi.org/10.1080/09548980701556055
Publikováno v:
Frontiers in Computational Neuroscience, Vol 6 (2012)
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience
This paper investigates how a neural network model of the ventral visual pathway, VisNet, can form separate view invariant representations of a number of objects seen rotating together. In particular, in the current work one of the rotating objects i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f35491f50844e7c65deb95fbc30d04c
http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00048/full
http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00048/full
Publikováno v:
The European journal of neuroscience. 28(10)
We show in a unifying computational approach that representations of spatial scenes can be formed by adding an additional self-organizing layer of processing beyond the inferior temporal visual cortex in the ventral visual stream without the introduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79d53f7aed2bbac3b4137526614493c9
https://pubmed.ncbi.nlm.nih.gov/19046392
https://pubmed.ncbi.nlm.nih.gov/19046392
Autor:
Benjamin D. Evans, James Matthew Tromans, Simon M. Stringer, Loredana Minini, Bedeho M. W. Mender, Juan M. Galeazzi, Mariana Paredes
Publikováno v:
PLoS ONE
PLoS ONE, Vol 8, Iss 6, p e66272 (2013)
PLoS ONE, Vol 8, Iss 6, p e66272 (2013)
We show how hand-centred visual representations could develop in the primate posterior parietal and premotor cortices during visually guided learning in a self-organizing neural network model. The model incorporates trace learning in the feed-forward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccdcb64e368a67e30c662eecba997dfb
https://doi.org/10.1371/journal.pone.0066272
https://doi.org/10.1371/journal.pone.0066272