Sylvain Sirois

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The violation-of-expectation (VOE) paradigm and related methods are the main tools used to study high-level cognition in preverbal infants. Infants' differential looking to conceptually implausible/impossible events has been used as an index of early cognitive competence in many areas, including object knowledge, physics, language, and number. However, an(More)
Below is the unedited précis of a book that is being accorded BBS multiple book review. This preprint has been prepared for potential commentators who wish to nominate themselves for formal commentary invitation. Please do not write a commentary unless you receive a formal invitation. Invited commentators will receive full instructions. Commentary must be(More)
Habituation and related procedures are the primary behavioral tools used to assess perceptual and cognitive competence in early infancy. This article introduces a neurally constrained computational model of infant habituation. The model combines the two leading process theories of infant habituation into a single functional system that is grounded in(More)
Research on infant cognition using habituation methods has sparked considerable controversy in recent years. At the core of the debates is the issue of whether infants have early (and possibly innate) conceptual understandings. This article reviews a range of computational models of habituation that might provide insights into such discussions. The models(More)
In the past few years connectionist models have greatly contributed to formulating theories of cognitive development. Some of these models follow the approach of developmental cognitive neuroscience in exploring interactions between brain development and cognitive development by integrating structural change into learning. We describe two classes of these(More)
Two experiments using a mobile robot examine the performance of a neural network model of habituation. The input to the network is the video feed from the robot's camera, preprocessed to model the visual system. Images, after retinal processing, are translated in the frequency domain and Gabor-filtered. The output of the network controls the robot's motors(More)
Neuroconstructivism is a theoretical framework focusing on the construction of representations in the developing brain. Cognitive development is explained as emerging from the experience-dependent development of neural structures supporting mental representations. Neural development occurs in the context of multiple interacting constraints acting on(More)
This paper presents autoassociator neural networks. A first section reviews the architecture of these models, common learning rules, and presents sample simulations to illustrate their abilities. In a second section, the ability of these models to account for learning phenomena such as habituation is reviewed. The contribution of these networks to(More)
Looking time data provide the main window into early cognitive abilities of human infants. With respect to advanced conceptual capabilities, research findings supporting such skills in infants using Violation-of-Expectations (VOE) methods have been met with sustained criticism. This paper proposes the introduce pupil dilation data as a complement to looking(More)
Since the publication in 1986 of Rumelhart and McClelland's Parallel Distributed Processing: Explorations in the Microstructure of Cognition, neural network or connectionist models have become an increasingly common method for studying learning and development. A wide range of developmental domains have been investigated with connectionist models, including(More)