Learning to Sample: Eye Tracking and fMRI Indices of Changes in Object Perception

We used an fMRI/eye-tracking approach to examine the mechanisms involved in learning to segment a novel, occluded object in a scene. Previous research has suggested a role for effective visual sampling and prior experience in the development of mature object perception. However, it remains unclear how the naive system integrates across variable sampled experiences to induce perceptual change. We generated a Target Scene in which a novel occluded Target Object could be perceived as either “disconnected” or “complete.” We presented one group of participants with this scene in alternating sequence with variable visual experience: three Paired Scenes consisting of the same Target Object in variable rotations and states of occlusion. A second control group was presented with similar Paired Scenes that did not incorporate the Target Object. We found that, relative to the Control condition, participants in the Training condition were significantly more likely to change their percept from “disconnected” to “connected,” as indexed by pretraining and posttraining test performance. In addition, gaze patterns during Target Scene inspection differed as a function of variable object exposure. We found increased looking to the Target Object in the Training compared with the Control condition. This pattern was not restricted to participants who changed their initial “disconnected” object percept. Neuroimaging data suggest an involvement of the hippocampus and BG, as well as visual cortical and fronto-parietal regions, in using ongoing regular experience to enable changes in amodal completion.

[1]  Gary H. Glover,et al.  Contributions of the hippocampus and the striatum to simple association and frequency-based learning , 2005, NeuroImage.

[2]  Shannon Tubridy,et al.  Medial temporal lobe contributions to episodic sequence encoding. , 2011, Cerebral cortex.

[3]  Clayton E. Curtis,et al.  Neural Substrates of Dynamic Object Occlusion , 2007, Journal of Cognitive Neuroscience.

[4]  R. Passingham The hippocampus as a cognitive map J. O'Keefe & L. Nadel, Oxford University Press, Oxford (1978). 570 pp., £25.00 , 1979, Neuroscience.

[5]  Scott P. Johnson,et al.  Where Infants Look Determines How They See: Eye Movements and Object Perception Performance in 3-Month-Olds. , 2004, Infancy : the official journal of the International Society on Infant Studies.

[6]  Scott P. Johnson,et al.  Newborn infant's perception of partly occluded objects , 1996 .

[7]  P. Skudlarski,et al.  Neuronal representation of occluded objects in the human brain , 2004, Neuropsychologia.

[8]  Carlo Miniussi,et al.  Effects of Right Parietal Transcranial Magnetic Stimulation on Object Identification and Orientation Judgments , 2008, Journal of Cognitive Neuroscience.

[9]  M. Ernst,et al.  The statistical determinants of adaptation rate in human reaching. , 2008, Journal of vision.

[10]  A. Needham,et al.  Infants' formation and use of categories to segregate objects , 2005, Cognition.

[11]  A. Yuille,et al.  Object perception as Bayesian inference. , 2004, Annual review of psychology.

[12]  N. Kanwisher,et al.  The lateral occipital complex and its role in object recognition , 2001, Vision Research.

[13]  M. Tarr,et al.  Activation of the middle fusiform 'face area' increases with expertise in recognizing novel objects , 1999, Nature Neuroscience.

[14]  Antonio Torralba,et al.  Top-down control of visual attention in object detection , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[15]  P. Quinn,et al.  How does Learning Impact Development in Infancy? The Case of Perceptual Organization. , 2011, Infancy : the official journal of the International Society on Infant Studies.

[16]  Scott P. Johnson,et al.  Learning by selection: visual search and object perception in young infants. , 2006, Developmental psychology.

[17]  E T Rolls,et al.  Invariant object recognition with trace learning and multiple stimuli present during training , 2007, Network.

[18]  C. Koch,et al.  Invariant visual representation by single neurons in the human brain , 2005, Nature.

[19]  D. Shohamy,et al.  Integrating Memories in the Human Brain: Hippocampal-Midbrain Encoding of Overlapping Events , 2008, Neuron.

[20]  D. Kumaran,et al.  Double Dissociation between Hippocampal and Parahippocampal Responses to Object–Background Context and Scene Novelty , 2011, The Journal of Neuroscience.

[21]  Scott P. Johnson Development of Perceptual Completion in Infancy , 2004, Psychological science.

[22]  Alan Slater,et al.  Newborn and older infants' perception of partly occluded objects☆ , 1990 .

[23]  K. Grill-Spector,et al.  Repetition and the brain: neural models of stimulus-specific effects , 2006, Trends in Cognitive Sciences.

[24]  J. Jonides,et al.  Rehearsal in spatial working memory. , 1998, Journal of experimental psychology. Human perception and performance.

[25]  B. Scholl Objects and attention: the state of the art , 2001, Cognition.

[26]  M. Mishkin Memory in monkeys severely impaired by combined but not by separate removal of amygdala and hippocampus , 1978, Nature.

[27]  P. Redgrave,et al.  Is the short-latency dopamine response too short to signal reward error? , 1999, Trends in Neurosciences.

[28]  E. Rolls,et al.  View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex. , 1998, Cerebral cortex.

[29]  L. Nadel,et al.  The Hippocampus as a Cognitive Map , 1978 .

[30]  Charles G. Gross,et al.  Coding for visual categories in the human brain , 2000, Nature Neuroscience.

[31]  N. Logothetis,et al.  Multistable phenomena: changing views in perception , 1999, Trends in Cognitive Sciences.

[32]  J. Theeuwes,et al.  Object-based eye movements: The eyes prefer to stay within the same object , 2010, Attention, perception & psychophysics.

[33]  J. Hegdé,et al.  Preferential responses to occluded objects in the human visual cortex. , 2008, Journal of vision.

[34]  E. Gibson Principles of Perceptual Learning and Development , 1969 .

[35]  Ziad M Hafed,et al.  Ongoing eye movements constrain visual perception , 2006, Nature Neuroscience.

[36]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[37]  S. Vecera,et al.  The return of object-based attention: Selection of multiple-region objects , 2006, Perception & psychophysics.

[38]  Robert H. Wurtz,et al.  Influence of the thalamus on spatial visual processing in frontal cortex , 2006, Nature.

[39]  T. Pasternak,et al.  Working memory in primate sensory systems , 2005, Nature Reviews Neuroscience.

[40]  J. O'Keefe,et al.  The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. , 1971, Brain research.

[41]  Marvin M. Chun,et al.  Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness , 2009, Journal of Cognitive Neuroscience.

[42]  T. Hendler,et al.  Object-completion effects in the human lateral occipital complex. , 2002, Cerebral cortex.

[43]  C. Rovee-Collier,et al.  Classical conditioning and retention of the infant's eyelid response: effects of age and interstimulus interval. , 1984, Journal of experimental child psychology.

[44]  Alexa R. Romberg,et al.  Statistical learning and language acquisition. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[45]  Irene Leo,et al.  Perceptual completion in newborn human infants. , 2006, Child development.

[46]  C. Büchel,et al.  Surface orientation discrimination activates caudal and anterior intraparietal sulcus in humans: an event-related fMRI study. , 2001, Journal of neurophysiology.

[47]  M. Bar,et al.  Top-down facilitation of visual object recognition: object-based and context-based contributions. , 2006, Progress in brain research.

[48]  A. Nobre,et al.  Long-term memory prepares neural activity for perception , 2011, Proceedings of the National Academy of Sciences.

[49]  Richard N Aslin,et al.  Statistical learning of new visual feature combinations by infants , 2002, Proceedings of the National Academy of Sciences of the United States of America.