Pratyaksh Sharma

Temporal superposition and feature geometry of RNNs under memory demands

Understanding how populations of neurons represent information is a central challenge across machine learning and neuroscience. Recent work in both fields has begun to characterize the representational geometry and functionality underlying complex distributed activity. For example, artificial neural…