Intelligence without representation
Artificial Intelligence
Localization of function via lesion analysis
Neural Computation
Representation of Number in Animals and Humans: A Neural Model
Journal of Cognitive Neuroscience
Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies
Journal of Cognitive Neuroscience
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This paper reports an experiment in which artificial foraging agents with dynamic, recurrent neural network architectures, are "evolved" within a simulated ecosystem The resultant agents can compare different food values to "go for more," and display similar comparison performance to that found in biological subjects We propose and apply a novel methodology for analysing these networks, seeking to recover their quantity representations within an Approximationist framework We focus on Localist representation, seeking to interpret single units as conveying representative information through their average activities One unit is identified that passes our "representation test", representing quantity by inverse accumulation.