Yashaswini

Hi, I’m Yashaswini, a first year PhD student in Electrical Engineering and Computer Sciences (EECS) at University of California, Berkeley starting Fall 2025. I am co-advised by Dr. Gopala Anumanchipalli and Dr. Jack Gallant. I completed my Integrated Masters in Electrical Engineering (BTech) and Machine Learning and Signal Processing (MTech) from the Indian Institute of Technology Kharagpur.

What makes the brain such an amazing learner? This question drives my passion for NeuroAI, the field where neuroscience and artificial intelligence meet. I am interested in almost all aspects and possibilities of NeuroAI. Some of the areas that I have explored include how the brain learns locally, consolidates memories and represents individual identity through patterns of neural connectivity and activity.

Email  /  CV  /  Linkedin  /  Github  /  Blog

Research Topics

• Local Learning in the Brain: Neo-Hebbian & Sparsity [UK Neural Computation Conference 2025]
• Memory: Role of Neocortex and Hippocampus [Research Internship @ NeurAI Lab, TU Eindhoven]
• Brain Fingerprinting [Master's Thesis Project]

Conferences & Publications

• 

  Emergence of Auditory Receptive Fields based on Surprise at Multiple Timescales

  Yashaswini, Sneha Dash, Sharba Bandyopadhyay

  UK Neural Computation Conference, 2025

  poster
• 

  A Distributed Cortical Network Integrates Semantic Representations of Number, Space, and Time

  Evi Hendrikx, Alicia Zeng, Yashaswini, Matteo Visconti di Oleggio Castello, Jack L. Gallant

  Cognitive Computational Neuroscience (CCN), 2026

  poster