Meghana Potta

I am a doctoral student at MIT EECS, studying the neuroscience of memory systems. Specifically, my research aims to understand the neural implementations of canonical mnemonic computations and how they can lead to cognitive deficits when they malfunction. Prior to this, I was a visiting researcher at MIT BCS, where I developed neural network models of brain-like perceptual decision-making.

Previously, I completed my master's in computational neuroscience at the Institute of Neuroinformatics at ETH Zürich & University of Zürich, where I investigated the frequency and accuracy of gradient-based methods in training recurrent neural networks to uncover precise ground truth dynamics. Before that, I spent two years working on cloud infrastructure with Azure at Microsoft after completing my bachelor's degree in computer science from NITK, Surathkal.