Venera Gashaj, Qendresa Thaqi, Fred W Mast, Claudia M Roebers
Foundations for future math achievement: Early numeracy, home learning environment, and the absence of math anxiety
Trends in neuroscience and education
neural network research language existence discrete combinatorial rule representations commonly denied combinatorial capacity networks brains rather attributed probability mapping pattern overlay demonstrate networks incorporating relevant features neuroanatomical connectivity neuronal function give rise discrete neuronal circuits store combinatorial information exhibit function similar elementary rules grammar key properties networks rich auto heteroassociative connectivity availability sequence detectors similar found range animals unsupervised hebbian learning input specific word sequences establishes sequence detectors network substitutions words larger string segments one syntactic category occurring context elements second syntactic class lead binding neuronal assemblies critically newly formed aggregates sequence detectors respond discrete generalizing fashion members specific substitution classes string elements combined discrete combinatorial neuronal assemblies dcnas even respond way learned strings word sequences never appeared input conform rule also show combinatorial information interacts information functional anatomical properties brain emergence discrete neuronal circuits may implement rules discuss model wider context brain mechanism syntax grammar implications evolution human language discussed closing