ABSTRACT—Visual object recognition is foundational to processes of categorization, tool use, and real-world problem solving. Despite considerable effort across many disciplines and many specific advances, there is no com-prehensive or well-accepted account of this ability. More-over, none of the extant approaches consider how human object recognition develops. New evidence indicates a pe-riod of rapid change in toddlers ’ visual object recognition between 18 and 24 months that is related to the learning of object names and to goal-directed action. Children appear to shift from recognition based on piecemeal fragments to recognition based on geometric representations of three-dimensional shape. These findings may lead to a more unified under...
Empirical research on mental representation is challenging because internal representations are not ...
Deriving a 3D structural representation of an object from its 2D input is one of the great challenge...
Previously, we investigated the distribution of instances of early-learned object-based categories i...
ABSTRACT-Visual object recognition is foundational to processes of categorization, tool use, and rea...
Two important and related developments in children between 18 and 24 months of age are the rapid exp...
Two of the most formidable skills that characterize human beings are language and our prowess in vis...
The ability to recognize common objects from sparse information about geometric shape emerges during...
Two important and related developments in children between 18 and 24 months of age are the rapid exp...
Human visual object recognition is multifaceted and comprised of several domains of expertise. Devel...
Object recognition is a long and complex adaptive process and its full maturation requires combinati...
Two experiments show that action alters the shape categories formed by 2-year-olds. Experiment 1 sho...
Some shape changes are more important for object perception than others. We used a habituation parad...
In the visual perception literature, the recognition of faces has often been contrasted with that of...
An object’s axis of elongation serves as an important frame of reference for forming three-dimension...
An electrophysiological measure of semantic processing (the N400) was used to assess shape recogniti...
Empirical research on mental representation is challenging because internal representations are not ...
Deriving a 3D structural representation of an object from its 2D input is one of the great challenge...
Previously, we investigated the distribution of instances of early-learned object-based categories i...
ABSTRACT-Visual object recognition is foundational to processes of categorization, tool use, and rea...
Two important and related developments in children between 18 and 24 months of age are the rapid exp...
Two of the most formidable skills that characterize human beings are language and our prowess in vis...
The ability to recognize common objects from sparse information about geometric shape emerges during...
Two important and related developments in children between 18 and 24 months of age are the rapid exp...
Human visual object recognition is multifaceted and comprised of several domains of expertise. Devel...
Object recognition is a long and complex adaptive process and its full maturation requires combinati...
Two experiments show that action alters the shape categories formed by 2-year-olds. Experiment 1 sho...
Some shape changes are more important for object perception than others. We used a habituation parad...
In the visual perception literature, the recognition of faces has often been contrasted with that of...
An object’s axis of elongation serves as an important frame of reference for forming three-dimension...
An electrophysiological measure of semantic processing (the N400) was used to assess shape recogniti...
Empirical research on mental representation is challenging because internal representations are not ...
Deriving a 3D structural representation of an object from its 2D input is one of the great challenge...
Previously, we investigated the distribution of instances of early-learned object-based categories i...