Mareschal, French, and Quinn (2000) and Mareschal, Quinn, and French (2002)have proposed a connectionist model of visual categorization in 3- to 4-month-old infants that simulates and predicts previously unexplained behavioural effects such as the asymmetric categorization effect (French, Mareschal, Mermillod, & Quinn, 2004). In the current paper, we show that the model's ability to simulate the asymmetry depends on the correlational structure of the stimuli. These results are important given that adults (Anderson & Fincham, 1996) as well as infants(Younger & Cohen, 1986) are able to rely on correlation information to perform visual categorization. At a behavioural level, the current paper suggests that pure bottom-up processes, based on th...
We measured looking times and ERPs to examine the cognitive and brain bases of perceptual category l...
Three developmental connectionist models simulate a purported shift from “featural” to “correlationa...
Introduction During the last decade, an increasing amount of computational research, in particular, ...
Mareschal, French, and Quinn (2000) and Mareschal, Quinn, and French (2002) have proposed a connecti...
International audienceMareschal, French, and Quinn (2000) and Mareschal, Quinn, and French (2002) ha...
This article presents a connectionist model of correlation-based categorization by 10-month-old infa...
Young infants show unexplained asymmetries in the exclusivity of categories formed on the basis of v...
Is information from vision and audition mutually facilitative to categorization in infants? Ten-mo...
Young infants are very sensitive to feature distribution information in the environment. However, ex...
Three developmental connectionist models simulate a purported shift from “featural” to “correlationa...
Three- to 4-month-old infants show asymmetric exclusivity in the acquisition of cat and dog perceptu...
The purpose of the present study was to investigate the developmental changes that occur in categori...
Computational models are tools for testing mechanistic theories of learning and development. Formal ...
Disentangling bottom-up and top-down processing in adult category learning is notoriously difficult....
Recency effects are well documented in the adult and infant literature: recognition and recall memor...
We measured looking times and ERPs to examine the cognitive and brain bases of perceptual category l...
Three developmental connectionist models simulate a purported shift from “featural” to “correlationa...
Introduction During the last decade, an increasing amount of computational research, in particular, ...
Mareschal, French, and Quinn (2000) and Mareschal, Quinn, and French (2002) have proposed a connecti...
International audienceMareschal, French, and Quinn (2000) and Mareschal, Quinn, and French (2002) ha...
This article presents a connectionist model of correlation-based categorization by 10-month-old infa...
Young infants show unexplained asymmetries in the exclusivity of categories formed on the basis of v...
Is information from vision and audition mutually facilitative to categorization in infants? Ten-mo...
Young infants are very sensitive to feature distribution information in the environment. However, ex...
Three developmental connectionist models simulate a purported shift from “featural” to “correlationa...
Three- to 4-month-old infants show asymmetric exclusivity in the acquisition of cat and dog perceptu...
The purpose of the present study was to investigate the developmental changes that occur in categori...
Computational models are tools for testing mechanistic theories of learning and development. Formal ...
Disentangling bottom-up and top-down processing in adult category learning is notoriously difficult....
Recency effects are well documented in the adult and infant literature: recognition and recall memor...
We measured looking times and ERPs to examine the cognitive and brain bases of perceptual category l...
Three developmental connectionist models simulate a purported shift from “featural” to “correlationa...
Introduction During the last decade, an increasing amount of computational research, in particular, ...