Self-Organizing Maps
Parietal Representation of Symbolic and Nonsymbolic Magnitude
Journal of Cognitive Neuroscience
Self-Organizing Dynamics of Lexical Access in Normals and Aphasics
Journal of Cognitive Neuroscience
How to Compare Two Quantities? A Computational Model of Flutter Discrimination
Journal of Cognitive Neuroscience
The neural development of an abstract concept of number
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Searching for emergent representations in evolved dynamical systems
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
The parietal cortex in sensemaking: the dissociation of multiple types of spatial information
Computational Intelligence and Neuroscience - Special issue on Neurocognitive Models of Sense Making
Hi-index | 0.00 |
This article addresses the representation of numerical information conveyed by nonsymbolic and symbolic stimuli. In a first simulation study, we show how number-selective neurons develop when an initially uncommitted neural network is given nonsymbolic stimuli as input (e.g., collections of dots) under unsupervised learning. The resultant network is able to account for the distance and size effects, two ubiquitous effects in numerical cognition. Furthermore, the properties of the network units conform in detail to the characteristics of recently discovered number-selective neurons. In a second study, we simulate symbol learning by presenting symbolic and nonsymbolic input simultaneously. The same number-selective neurons learn to represent the numerical meaning of symbols. In doing so, they show properties reminiscent of the originally available number-selective neurons, but at the same time, the representational efficiency of the neurons is increased when presented with symbolic input. This finding presents a concrete proposal on the linkage between higher order numerical cognition and more primitive numerical abilities and generates specific predictions on the neural substrate of number processing.