Visual Feature Binding in Early Infancy

Taga, Gentaro; Ikejiri, Tomohiro; Tachibana, Tatsushi; Shimojo, Shinsuke; Soeda, Atsuhiro; Takeuchi, Keiko; Konishi, Y.

doi:10.1068/p3167

Cited by 24 publications

(14 citation statements)

References 29 publications

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“…Other infant research has looked in more detail at feature binding per se. For example, infants as young as 1 month of age will dishabituate to situations in which a green triangle and a yellow ring emerge from a momentary period of occlusion as a yellow triangle and a green ringömaintaining all of the same features, changing only their bindings (eg Bushnell and Roder 1985;Kaldy and Leslie 2003;Slater et al 1991;Taga et al 2002).…”

Section: Research On Feature Bindingmentioning

confidence: 98%

Units of Visual Individuation in Rhesus Macaques: Objects or Unbound Features?

et al. 2006

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Vision begins with the processing of unbound visual features, which must eventually be bound together into object representations. Such feature binding is required for coherent visual perception, and accordingly has received a considerable amount of study in several domains. Neurophysiological work, often in monkeys, has revealed the details of how and where feature binding occurs in the brain, but methodological limitations have not allowed this research to elucidate just how feature binding operates spontaneously in real-world situations. In contrast, behavioral work with human infants has demonstrated how we use simpler unbound features to individuate and identify objects over time and occlusion in many types of events, but this work has not typically been able to isolate the role of feature binding in such processing. Here we provide a method for assessing the spontaneity and fidelity of feature binding in non-human primates, as this process is utilized in real-world situations, including simple foraging behaviors. Using both looking-time and manual-search measures in a natural environment, we show that free-ranging rhesus macaques (Macaca mulatta) spontaneously bind features in order to individuate objects across time and occlusion in dynamic events. This pattern of results demonstrates that feature binding is used in subtle ways to guide ecologically relevant behavior in a non-human animal, spontaneously and reliably, in its natural environment.

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Section: Research On Feature Bindingmentioning

confidence: 98%

Units of Visual Individuation in Rhesus Macaques: Objects or Unbound Features?

et al. 2006

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“…Previous behavioral studies indicated that visual abilities such as color discrimination (Morrone et al, 1993), directional discrimination (Wattam-Bell, 1996), stereopsis (Birch et al, 1982;Braddick et al, 1983), and oculomotor control (Taga et al, 2002) increase drastically around 3 months of age. Based on these findings, we anticipate that functional response patterns of the cortex during visual perception may also change at around this age.…”

Section: Introductionmentioning

confidence: 97%

General to specific development of functional activation in the cerebral cortexes of 2- to 3-month-old infants

2010

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“…The subsequent recovery by 4–6 months of age can be interpreted as an establishment of coordination between the two systems. U-shaped changes in a given behavior have been observed in reaching (Butterworth, 1989 ) and cross-modal orientation (Taga et al, 2002 ). The developmental organization of these circuits is a complex process that begins at early gestational age (Kostovic et al, 1995 ) and continues until adulthood.…”

Section: Introductionmentioning

confidence: 99%

The intrahemispheric functional properties of the developing sensorimotor cortex are influenced by maturation

Berchicci

Tamburro

Comani

2015

Front. Hum. Neurosci.

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The investigation of the functional changes in the sensorimotor cortex has important clinical implications as deviations from normal development can anticipate developmental disorders. The functional properties of the sensorimotor cortex can be characterized through the rolandic mu rhythm, already present during infancy. However, how the sensorimotor network develops from early infancy to adulthood, and how sensorimotor processing contributes to the generation of perceptual-motor coupling remains largely unknown. Here, we analyzed magnetoencephalographic (MEG) data recorded in two groups of infants (11–24 and 26–47 weeks), two groups of children (24–34 and 36–60 months), and a control group of adults (20–39 years), during intermixed conditions of rest and prehension. The MEG sensor array was positioned over the sensorimotor cortex of the contralateral hemisphere. We characterized functional connectivity and topological properties of the sensorimotor network across ages and conditions through synchronization likelihood and segregation/integration measures in an individual mu rhythm frequency range. All functional measures remained almost unchanged during the first year of life, whereas they varied afterwards through childhood to reach adult values, demonstrating an increase of both segregation and integration properties. With age, the sensorimotor network evolved from a more random (infants) to a “small-world” organization (children and adults), more efficient both locally and globally. These findings are in line with prior studies on structural and functional brain development in infants, children and adults. We could not demonstrate any significant change in the functional properties of the sensorimotor cortex in the prehension condition with respect to rest. Our results support the view that, since early infancy, the functional properties of the developing sensorimotor cortex are modulated by maturation.

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Visual Feature Binding in Early Infancy

Cited by 24 publications

References 29 publications

Units of Visual Individuation in Rhesus Macaques: Objects or Unbound Features?

Units of Visual Individuation in Rhesus Macaques: Objects or Unbound Features?

General to specific development of functional activation in the cerebral cortexes of 2- to 3-month-old infants

The intrahemispheric functional properties of the developing sensorimotor cortex are influenced by maturation

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