URAP

Anand Siththaranjan

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

I would like to thank the donors for their support. Having the opportunity to spend my summer engaging in research will not only help me prepare for a career as a research but develop my interest and understanding of the fields of computer science and neuroscience. I am grateful that I will have a chance to contribute to developments in neuroscience alongside my group, and am happy that I will be able to do something fulfilling over the summer.
  • Major: Computer Science
  • Mentor: Kevin Bender