# 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.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6319030647a84df2a5dd106c/SJaIDJOMhAWMofspB3jJQ.png)



![image/gif](https://cdn-uploads.huggingface.co/production/uploads/6319030647a84df2a5dd106c/_2hquoFZChGzhVsDOpozl.gif)


- **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

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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