Inferring the biophysical properties of a neuron from stimuli using a CNN
Currently my work is in helping to create a convolutional neural network that can effectively ascertain the various properties of a neuron based of the its response to stimuli. Over the summer, my work will be focused on improving our current CNN to take into account the “peeling procedure”, which is a domain-specific technique in neuroscience that can help improve the accuracy of our model, as well as generalise the model to account for various kinds of stimuli.
Message to Sponsor
- Major: Computer Science
- Mentor: Kevin Bender