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Network: Computation in Neural Systems Volume 18, 2007 - Issue 2
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Original

Invariant object recognition with trace learning and multiple stimuli present during training

S. M. Stringer Department of Experimental Psychology, Oxford University, Centre for Computational Neuroscience, South Parks RoadOxford OX1 3UD, England
,
Prof. E. T. Rolls Department of Experimental Psychology, Oxford University, Centre for Computational Neuroscience, South Parks RoadOxford OX1 3UD, EnglandCorrespondence[email protected]
&
J. M. Tromans Department of Experimental Psychology, Oxford University, Centre for Computational Neuroscience, South Parks RoadOxford OX1 3UD, England
Pages 161-187 | Received 04 May 2007, Accepted 05 Jul 2007, Published online: 09 Jul 2009

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Bedeho M. W. Mender & Simon M. Stringer. (2014) Self-organization of head-centered visual responses under ecological training conditions. Network: Computation in Neural Systems 25:3, pages 116-136.
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James Matthew Tromans, Hector J.I. Page & Simon M. Stringer. (2012) Learning separate visual representations of independently rotating objects. Network: Computation in Neural Systems 23:1-2, pages 1-23.
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Articles from other publishers (20)

Edmund T. Rolls. (2022) Hippocampal spatial view cells for memory and navigation, and their underlying connectivity in humans. Hippocampus 33:5, pages 533-572.
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Edmund T Rolls, Gustavo Deco, Chu-Chung Huang & Jianfeng Feng. (2023) Multiple cortical visual streams in humans. Cerebral Cortex 33:7, pages 3319-3349.
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Pietro Perconti & Alessio Plebe. (2020) Deep learning and cognitive science. Cognition 203, pages 104365.
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Alessio Plebe & Giorgio Grasso. (2019) The Unbearable Shallow Understanding of Deep Learning. Minds and Machines 29:4, pages 515-553.
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Edmund T. Rolls & Sylvia Wirth. (2018) Spatial representations in the primate hippocampus, and their functions in memory and navigation. Progress in Neurobiology 171, pages 90-113.
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Juan M. Galeazzi, Loredana Minini & Simon M. Stringer. (2015) The Development of Hand-Centered Visual Representations in the Primate Brain: A Computer Modeling Study Using Natural Visual Scenes. Frontiers in Computational Neuroscience 9.
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Leigh Robinson & Edmund T. Rolls. (2015) Invariant visual object recognition: biologically plausible approaches. Biological Cybernetics 109:4-5, pages 505-535.
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Akihiro Eguchi, Bedeho M. W. Mender, Benjamin D. Evans, Glyn W. Humphreys & Simon M. Stringer. (2015) Computational modeling of the neural representation of object shape in the primate ventral visual system. Frontiers in Computational Neuroscience 9.
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Benjamin D. Evans & Simon M. Stringer. (2014) STDP in lateral connections creates category-based perceptual cycles for invariance learning with multiple stimuli. Biological Cybernetics 109:2, pages 215-239.
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Seyed-Mahdi Khaligh-Razavi & Nikolaus Kriegeskorte. (2014) Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation. PLoS Computational Biology 10:11, pages e1003915.
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Tristan J. Webb & Edmund T. Rolls. (2014) Deformation-specific and deformation-invariant visual object recognition: pose vs. identity recognition of people and deforming objects. Frontiers in Computational Neuroscience 8.
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Benjamin D. Evans & Simon M. Stringer. (2013) How Lateral Connections and Spiking Dynamics May Separate Multiple Objects Moving Together. PLoS ONE 8:8, pages e69952.
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Lauren L. Emberson & Dima Amso. (2012) Learning to Sample: Eye Tracking and fMRI Indices of Changes in Object Perception. Journal of Cognitive Neuroscience 24:10, pages 2030-2042.
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Haruo Hosoya. (2012) Multinomial Bayesian Learning for Modeling Classical and Nonclassical Receptive Field Properties. Neural Computation 24:8, pages 2119-2150.
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O. Kursun & T. Aytekin. (2012) Combining Spatial Proximity and Temporal Continuity for Learning Invariant Representations. Combining Spatial Proximity and Temporal Continuity for Learning Invariant Representations.
James Matthew Tromans, Mitchell Harris & Simon Maitland Stringer. (2011) A Computational Model of the Development of Separate Representations of Facial Identity and Expression in the Primate Visual System. PLoS ONE 6:10, pages e25616.
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I.V. Higgins & S.M. Stringer. (2011) The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. Vision Research 51:6, pages 553-562.
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Chen-Ping Yu, Charles Duffy, William Page & Roger Gaborski. (2009) Computational model of cortical neuronal receptive fields for self-motion perception. Computational model of cortical neuronal receptive fields for self-motion perception.
Edmund T. Rolls, James M. Tromans & Simon M. Stringer. (2008) Spatial scene representations formed by self-organizing learning in a hippocampal extension of the ventral visual system. European Journal of Neuroscience 28:10, pages 2116-2127.
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S.M. Stringer & E.T. Rolls. (2008) Learning transform invariant object recognition in the visual system with multiple stimuli present during training. Neural Networks 21:7, pages 888-903.
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