Steps Towards Temporal Distillation In Spiking Networks

Inspiration

Research with prof. Jason Eshraghian

What it does

Recurrent Neural Network on seizure data

How we built it

Using pytorch

Challenges we ran into

Data preprocessing and pytorch conditionality

Accomplishments that we're proud of

Laying the groundwork for the rest of the project

What we learned

Learned about how to preprocess EEG data and how we can train networks on it

What's next for Steps Towards Temporal Distillation In Spiking Networks

Continue the research into Spiking Neural Networks, and implement temporal distillation

Built With

• python
• pytorch