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Original Article

Learning viewpoint-invariant face representations from visual experience in an attractor network

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Pages 399-417 | Received 02 Jan 1998, Published online: 09 Jul 2009

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S. M. Stringer, E. T. Rolls & J. M. Tromans. (2007) Invariant object recognition with trace learning and multiple stimuli present during training. Network: Computation in Neural Systems 18:2, pages 161-187.
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Articles from other publishers (11)

Federico Stella, Erika Cerasti, Bailu Si, Karel Jezek & Alessandro Treves. (2012) Self-organization of multiple spatial and context memories in the hippocampus. Neuroscience & Biobehavioral Reviews 36:7, pages 1609-1625.
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G. Perry, E. T. Rolls & S. M. Stringer. (2010) Continuous transformation learning of translation invariant representations. Experimental Brain Research 204:2, pages 255-270.
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Tomoyuki Kimoto, Tatsuya Uezu & Masato Okada. (2010) Stability Analysis of Attractor Neural Network Model of Inferior Temporal Cortex –Relationship between Attractor Stability and Learning Order–. Journal of the Physical Society of Japan 79:6, pages 064001.
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Athena Akrami, Yan Liu, Alessandro Treves & Bharathi Jagadeesh. (2009) Converging Neuronal Activity in Inferior Temporal Cortex during the Classification of Morphed Stimuli. Cerebral Cortex 19:4, pages 760-776.
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Marco K. Müller & Rolf P. Würtz. 2009. Artificial Neural Networks – ICANN 2009. Artificial Neural Networks – ICANN 2009 643 652 .
Yasser Roudi & Alessandro Treves. (2008) Representing Where along with What Information in a Model of a Cortical Patch. PLoS Computational Biology 4:3, pages e1000012.
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Gavin Perry, Edmund T. Rolls & Simon M. Stringer. (2006) Spatial vs temporal continuity in view invariant visual object recognition learning. Vision Research 46:23, pages 3994-4006.
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S. M. Stringer, G. Perry, E. T. Rolls & J. H. Proske. (2005) Learning invariant object recognition in the visual system with continuous transformations. Biological Cybernetics 94:2, pages 128-142.
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Takio Kurita & Takashi Takahashi. (2003) Viewpoint independent face recognition by competition of the viewpoint dependent classifiers. Neurocomputing 51, pages 181-195.
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James V Stone & Nicol Harper. (1999) Temporal Constraints on Visual Learning: A Computational Model. Perception 28:9, pages 1089-1104.
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Karin L Harman & G Keith Humphrey. (2016) Encoding ?Regular? and ?Random? Sequences of Views of Novel Three-Dimensional Objects. Perception 28:5, pages 601-615.
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