TY - GEN
T1 - A neural model of number interval position effect (Nipe) in children
AU - Ponticorvo, Michela
AU - Rotondaro, Francesca
AU - Doricchi, Fabrizio
AU - Miglino, Orazio
PY - 2015
Y1 - 2015
N2 - In the present paper we describe an artificial neural model of the Number Interval Position Effect (NIPE;[5]) that has been observed in the mental bisection of number intervals both in adults and in children. In this task a systematic error bias in the mental setting of the subjective midpoint of number intervals is found, so that for intervals of equal size there is a shift of the subjective midpoint towards numbers higher than the true midpoint for intervals at the beginning of decades while for intervals at the end of decades the error bias is directionally reversed towards numbers lower than the true midpoint. This trend of the bisection error is recursively present across consecutive decades. Here we show that a neural-computational model based on information spread by energy gradients towards accumulation points based on the logarithimic compressed representation of numbermagnitudes that has been observed at the single cell level in rhesus monkeys [9] effectively simulates the performance of adults and children in the mental bisection of number intervals, in particular replicating the data observed in children.
AB - In the present paper we describe an artificial neural model of the Number Interval Position Effect (NIPE;[5]) that has been observed in the mental bisection of number intervals both in adults and in children. In this task a systematic error bias in the mental setting of the subjective midpoint of number intervals is found, so that for intervals of equal size there is a shift of the subjective midpoint towards numbers higher than the true midpoint for intervals at the beginning of decades while for intervals at the end of decades the error bias is directionally reversed towards numbers lower than the true midpoint. This trend of the bisection error is recursively present across consecutive decades. Here we show that a neural-computational model based on information spread by energy gradients towards accumulation points based on the logarithimic compressed representation of numbermagnitudes that has been observed at the single cell level in rhesus monkeys [9] effectively simulates the performance of adults and children in the mental bisection of number intervals, in particular replicating the data observed in children.
KW - Artificial Neural Models
KW - Bisection of Number Intervals
KW - Mental Number Line
KW - NIPE effect
KW - Numerical Cognition
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U2 - 10.1007/978-3-319-18914-7_2
DO - 10.1007/978-3-319-18914-7_2
M3 - Conference contribution
AN - SCOPUS:84937459087
SN - 9783319189130
VL - 9107
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 9
EP - 18
BT - Artificial Computation in Biology and Medicine - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Proceedings
PB - Springer Verlag
T2 - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015
Y2 - 1 June 2015 through 5 June 2015
ER -