| # Modified AlexNet with CNN Visualisation | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| 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 | |
| <!-- Provide the basic links for the model. --> | |
| - **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. | |
| - **Demo:** https://youtu.be/XV4zjh63Yfk | |
| ## Bias, Risks, and Limitations | |
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> | |
| 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 | |
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> | |
| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. | |
| ## How to Get Started with the Model | |
| Use the code below to get started with the model. | |
| [More Information Needed] | |
| ## Training Details | |
| ### Training Data | |
| <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> | |
| [More Information Needed] | |
| ## Environmental Impact | |
| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> | |
| Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). | |
| - **Hardware Type:** RTX 3070Ti | |
| - **Hours used:** 2 | |
| ## Model Card Contact | |
| Michael Peres | |
| michaelperes562@gmail.com |