Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bedeho M. W. Mender"'
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0207961 (2018)
We study a self-organising neural network model of how visual representations in the primate dorsal visual pathway are transformed from an eye-centred to head-centred frame of reference. The model has previously been shown to robustly develop head-ce
Externí odkaz:
https://doaj.org/article/c24e0b8ca83441a8891a714659dde4e9
Autor:
Juan M Galeazzi, Bedeho M W Mender, Mariana Paredes, James M Tromans, Benjamin D Evans, Loredana Minini, Simon M Stringer
Publikováno v:
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://doaj.org/article/924f503596994a50a36f05b8ec35e30a
Autor:
Bedeho M W Mender, Simon M Stringer
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e81406 (2013)
We present a hypothesis for how head-centered visual representations in primate parietal areas could self-organize through visually-guided learning, and test this hypothesis using a neural network model. The model consists of a competitive output lay
Externí odkaz:
https://doaj.org/article/c69c0ed255b6415db986197a609e8aa3
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 11, p e0207961 (2018)
PLoS ONE, Vol 13, Iss 11, p e0207961 (2018)
We study a self-organising neural network model of how visual representations in the primate dorsal visual pathway are transformed from an eye-centred to head-centred frame of reference. The model has previously been shown to robustly develop head-ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c0b86db7b30d35131bdc7b710a5b693
http://europepmc.org/articles/PMC6264903
http://europepmc.org/articles/PMC6264903
Autor:
Simon M. Stringer, Bedeho M. W. Mender
Publikováno v:
Network: Computation in Neural Systems. 25:116-136
We have studied the development of head-centered visual responses in an unsupervised self-organizing neural network model which was trained under ecological training conditions. Four independent spatio-temporal characteristics of the training stimuli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4555955cbca57ed48b7783cd61337d8
https://doi.org/10.3109/0954898x.2014.918671
https://doi.org/10.3109/0954898x.2014.918671
Autor:
Joaquin Navajas, Simon M. Stringer, Rodrigo Quian Quiroga, Bedeho M. W. Mender, Juan M. Galeazzi, Loredana Minini
Publikováno v:
Network
Network (Bristol, England)
Network (Bristol, England)
Neurons have been found in the primate brain that respond to objects in specific locations in hand-centered coordinates. A key theoretical challenge is to explain how such hand-centered neuronal responses may develop through visual experience. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a976d18ffa7b17843f1c82a738e9538
https://research.stmarys.ac.uk/id/eprint/2989/1/Galeazzi_etal_2015.pdf
https://research.stmarys.ac.uk/id/eprint/2989/1/Galeazzi_etal_2015.pdf
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience
Neurons in successive stages of the primate ventral visual pathway encode the spatial structure of visual objects. In this paper, we investigate through computer simulation how these cell firing properties may develop through unsupervised visually-gu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c7136a282893f9d32bbe6c4e7c0af2c
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