Figure 1 - uploaded by Philippe Chassy
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The RGB cube represents colours in three dimensions of Red, Green and Blue. A colour concept such as 'purple' can be represented as a region of this conceptual space.
Source publication
The authors present an artificial neural network model of human perception of natural numbers. Evidence from experimental psychology and neuroimaging data has been used to set the parameters and the structure of the model. A new architecture, Magnitron, has been designed to implement how human agents perceive magnitudes both in analogue format with...
Citations
... Magnitron, in its basic form, was introduced to simulate recognition of analogue and symbolic numerosities [46]. This initial implementation was oriented towards replicating human performance but left little room for biological validity and interpretation. ...
The attractor hypothesis states that knowledge is encoded as topologically-defined, stable configurations of connected cell assemblies. Irrespective to its original state, a network encoding new information will thus self-organize to reach the necessary stable state. To investigate memory structure, a multimodular neural network architecture, termed Magnitron, has been developed. Magnitron is a biologically-inspired cognitive architecture that simulates digit recognition. It implements perceptual input, human visual long-term memory in the ventral visual pathway and, to a lesser extent, working memory processes. To test the attractor hypothesis a Monte Carlo simulation of 10,000 individuals has been run. Each simulated learner was trained in recognizing the ten digits from novice to expert stage. The results replicate several features of human learning. First, they show that random connectivity in long-term visual memory accounts for novices’ performance. Second, the learning curves revealed that Magnitron simulates the well-known psychological power law of practice. Third, after learning took place, performance departed from chance level and reached a minimum target of 95% of correct hits; hence simulating human performance in children (i.e., when digits are learned). Magnitron also replicates biological findings. In line with research using voxel-based morphometry, Magnitron showed that matter density increases while training is taken place. Crucially, the spatial analysis of the connectivity patterns in long-term visual memory supported the hypothesis of a stable attractor. The significance of these results regarding memory theory is discussed.
