This model was used to understand cognitive processing of predicting other individuals goals from various sources of information, like gaze, hand preshape or arm trajectory.
Model Details
Model Description
The model uses AlexNet and changes to the FCC allow for CNN visualisation of the predictions confidence regions.
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Developed by: Michael Peres
Model type: AlexNet with adapted for CNN Visualations.
Finetuned from model [optional]: AlexNet
Model Sources
Paper: Ambrosini E, Pezzulo G, Costantini M. The eye in hand: predicting others' behavior by integrating multiple sources of information. J Neurophysiol. 2015 Apr 1;113(7):2271-9. doi: 10.1152/jn.00464.2014. Epub 2015 Jan 7. PMID: 25568158; PMCID: PMC4416586.
Model may have learnt specific constants from background to make predictions and not learnt say eye gaze, hand preshape or arm trajectory.
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
