AI Article Synopsis
- The study presents an emergentist view on how we perceive numbers, using a deep neural network model to explain the underlying computational processes.
- It suggests that factors like visual properties do not undermine the concept of number sense, but instead highlight the limitations in how we compute and perceive numbers consistently.
- The authors call for alternative theories to be articulated within a formal computational model to better understand numerosity perception.
Article Abstract
We provide an emergentist perspective on the computational mechanism underlying numerosity perception, its development, and the role of inhibition, based on our deep neural network model. We argue that the influence of continuous visual properties does not challenge the notion of number sense, but reveals limit conditions for the computation that yields invariance in numerosity perception. Alternative accounts should be formalized in a computational model.
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| http://dx.doi.org/10.1017/S0140525X16002326 | DOI Listing |
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