Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912951236> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W2912951236 abstract "The aim of this doctoral research is to advance understanding of how the primate brain learns to process the detailed spatial form of natural visual scenes. Neurons in successive stages of the primate ventral visual pathway encode the spatial structure of visual objects and faces. However, it remains a difficult challenge to understand exactly how these neurons develop their response properties through visually guided learning. This thesis approaches this problem through the use of computational modelling. In particular, I first show how the brain may learn to represent the spatial structure of objects and faces through a series of processing stages along the ventral visual pathway. Then I propose how understanding the two complementary unsupervised learning mechanisms of translation invariance may have useful applications in clinical psychology. Next, the potential functional role of top-down (feedback) propagation of visual information in the brain in driving the development of border ownership cells, which are thought to play a role in binding visual features such as boundary edges to their respective objects, is investigated. In particular, the limitations of traditional rate-coded neural networks in modelling these cells are identified. Finally, a general solution to such binding problems with the use of a more biologically realistic spiking neural network is presented. This work is set to make an important contribution towards understanding how the visual system learns to encode the detailed spatial structure of objects and faces within scenes, including representing the binding relations between the visual features that comprise those objects and faces." @default.
- W2912951236 created "2019-02-21" @default.
- W2912951236 creator A5063249859 @default.
- W2912951236 date "2017-01-01" @default.
- W2912951236 modified "2023-09-24" @default.
- W2912951236 title "Neural network modelling of the primate ventral visual pathway" @default.
- W2912951236 hasPublicationYear "2017" @default.
- W2912951236 type Work @default.
- W2912951236 sameAs 2912951236 @default.
- W2912951236 citedByCount "0" @default.
- W2912951236 crossrefType "dissertation" @default.
- W2912951236 hasAuthorship W2912951236A5063249859 @default.
- W2912951236 hasConcept C104317684 @default.
- W2912951236 hasConcept C154945302 @default.
- W2912951236 hasConcept C15744967 @default.
- W2912951236 hasConcept C169760540 @default.
- W2912951236 hasConcept C177264268 @default.
- W2912951236 hasConcept C178253425 @default.
- W2912951236 hasConcept C188147891 @default.
- W2912951236 hasConcept C199360897 @default.
- W2912951236 hasConcept C26760741 @default.
- W2912951236 hasConcept C2778251979 @default.
- W2912951236 hasConcept C41008148 @default.
- W2912951236 hasConcept C55493867 @default.
- W2912951236 hasConcept C66746571 @default.
- W2912951236 hasConcept C86803240 @default.
- W2912951236 hasConceptScore W2912951236C104317684 @default.
- W2912951236 hasConceptScore W2912951236C154945302 @default.
- W2912951236 hasConceptScore W2912951236C15744967 @default.
- W2912951236 hasConceptScore W2912951236C169760540 @default.
- W2912951236 hasConceptScore W2912951236C177264268 @default.
- W2912951236 hasConceptScore W2912951236C178253425 @default.
- W2912951236 hasConceptScore W2912951236C188147891 @default.
- W2912951236 hasConceptScore W2912951236C199360897 @default.
- W2912951236 hasConceptScore W2912951236C26760741 @default.
- W2912951236 hasConceptScore W2912951236C2778251979 @default.
- W2912951236 hasConceptScore W2912951236C41008148 @default.
- W2912951236 hasConceptScore W2912951236C55493867 @default.
- W2912951236 hasConceptScore W2912951236C66746571 @default.
- W2912951236 hasConceptScore W2912951236C86803240 @default.
- W2912951236 hasLocation W29129512361 @default.
- W2912951236 hasOpenAccess W2912951236 @default.
- W2912951236 hasPrimaryLocation W29129512361 @default.
- W2912951236 hasRelatedWork W129352229 @default.
- W2912951236 hasRelatedWork W136832028 @default.
- W2912951236 hasRelatedWork W148115400 @default.
- W2912951236 hasRelatedWork W155008484 @default.
- W2912951236 hasRelatedWork W1647438128 @default.
- W2912951236 hasRelatedWork W16628102 @default.
- W2912951236 hasRelatedWork W1968848805 @default.
- W2912951236 hasRelatedWork W1972061242 @default.
- W2912951236 hasRelatedWork W2143558878 @default.
- W2912951236 hasRelatedWork W2273969094 @default.
- W2912951236 hasRelatedWork W2302300690 @default.
- W2912951236 hasRelatedWork W2341045272 @default.
- W2912951236 hasRelatedWork W2401381311 @default.
- W2912951236 hasRelatedWork W2517744333 @default.
- W2912951236 hasRelatedWork W2595979353 @default.
- W2912951236 hasRelatedWork W2884269201 @default.
- W2912951236 hasRelatedWork W2925348834 @default.
- W2912951236 hasRelatedWork W2978292136 @default.
- W2912951236 hasRelatedWork W3174874085 @default.
- W2912951236 hasRelatedWork W2172846679 @default.
- W2912951236 isParatext "false" @default.
- W2912951236 isRetracted "false" @default.
- W2912951236 magId "2912951236" @default.
- W2912951236 workType "dissertation" @default.