TY - JOUR
T1 - Fragile X syndrome
T2 - Neural network models of sequencing and memory
AU - Johnson-Glenberg, Mina C.
N1 - Funding Information:
This research was funded by the National Institutes of Health MRDD division R03-HD 39362-01 and a grant from the FRAXA Foundation. Special thanks to Renee Duffy, Katie Clapp, Amy Shefchik, Yu Cheung Shum, David Wilson, Sally Miles, and especially to Leonard Abbeduto.
PY - 2008/10
Y1 - 2008/10
N2 - A comparative framework of memory processes in males with fragile X syndrome (FXS) and typically developing (TYP) mental age-match children is presented. Results indicate a divergence in sequencing skills, such that males with FXS recall sequences similarly to TYP children around five and a half years of age, but the males with FXS recall significantly worse when compared to TYP children around seven and a half years of age. Performance on one working memory measure, an n-back Card Task, is modeled with a neural network. To date, no network models explicate the sequencing and memory processes in those with FXS. Noise was added to various levels (weight matrices) in the FXS model and outputs approximated human FXS performance. Three models were compared: (1) FXS; (2) younger mental age-TYP matches; (3) older reading level-TYP matches. Modeling can help to reify conceptualizations of deficits and to guide in the creation of more valid, science-based remediations. The FXS model suggested that the levels of phonological representation and sequencing in memory were candidates for targeted therapies in males with FXS.
AB - A comparative framework of memory processes in males with fragile X syndrome (FXS) and typically developing (TYP) mental age-match children is presented. Results indicate a divergence in sequencing skills, such that males with FXS recall sequences similarly to TYP children around five and a half years of age, but the males with FXS recall significantly worse when compared to TYP children around seven and a half years of age. Performance on one working memory measure, an n-back Card Task, is modeled with a neural network. To date, no network models explicate the sequencing and memory processes in those with FXS. Noise was added to various levels (weight matrices) in the FXS model and outputs approximated human FXS performance. Three models were compared: (1) FXS; (2) younger mental age-TYP matches; (3) older reading level-TYP matches. Modeling can help to reify conceptualizations of deficits and to guide in the creation of more valid, science-based remediations. The FXS model suggested that the levels of phonological representation and sequencing in memory were candidates for targeted therapies in males with FXS.
KW - FXS
KW - Fragile X syndrome
KW - Intellectual disabilities
KW - Literacy
KW - Memory in atypical populations
KW - Modeling
KW - Neural networks
KW - Phonology
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U2 - 10.1016/j.cogsys.2008.02.002
DO - 10.1016/j.cogsys.2008.02.002
M3 - Article
AN - SCOPUS:50849104252
SN - 1389-0417
VL - 9
SP - 274
EP - 292
JO - Cognitive Systems Research
JF - Cognitive Systems Research
IS - 4
ER -