Multimodal interactions in typically and atypically developing children: natural versus artificial environments.
1Cognitive Neuroscience, Medical Engineering and Rehabilitation, Pierre and Marie Curie University, 4, Place Jussieu, 75005, Paris, France, igiannopulu@psycho-prat.fr.
Cognitive Processing
|May 22, 2013
Summary
Multimodal interactions are key for neurocognitive development in children. This review explores natural and artificial environments to understand brain organization and neuroplasticity for rehabilitation.
Area of Science:
- Cognitive Developmental Neuroscience
- Neurorehabilitation
- Computational Neuroscience
Background:
- Multimodal interactions are central to neurocognitive development.
- Studies analyzed interactions in natural environments for typically developing children.
- The brain's intrinsic properties of neuroplasticity and neurodynamics are fundamental.
Purpose of the Study:
- To review the role of multimodal interactions in neurocognitive development.
- To explore the use of artificial environments for neurorehabilitation in autistic children.
- To integrate computational perspectives into cognitive developmental neuroscience.
Main Methods:
- Analysis of multimodal verbal, nonverbal, and emotional interactions in natural settings.
- Exploration of artificial environments using mobile toy robots for neurorehabilitation.
- Consideration of both natural and artificial environments as bases for neuronal organization and reorganization.
Main Results:
- Multimodal interactions in natural environments provide insights into typical neurocognitive development.
- Artificial environments offer potential for neurorehabilitation in severely autistic children.
- Both natural and artificial environments are crucial for understanding neuronal organization and reorganization.
Conclusions:
- Multimodal interactions are fundamental to neurocognitive development and brain plasticity.
- Artificial environments, like those with robots, show promise for neurorehabilitation.
- A computational approach to studying natural and artificial environments can advance cognitive neuroscience.
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