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Rajat Saxena

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Rajat Saxena

Postdoctoral Fellow
Kavli Institute for Systems Neuroscience

rajat.saxena@ntnu.no
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About Publications

About

I am a postdoctoral research fellow in the Moser group at the Kavli Institute for Systems Neuroscience. My research focuses on understanding continual learning and memory consolidation in the brain. I am particularly interested in topics, such as overcoming catastrophic forgetting, forward knowledge transfer, generalization, and hippocampus-cortex interactions across different timescales. I use a combination of high-density silicon probes, two-photon imaging, and deep-learning models to investigate these questions. Currently, I am studying the neural mechanisms underlying recently discovered theta sweeps, hoping to uncover how hippocampus-entorhinal cortex-thalamic circuits interact to facilitate rapid and flexible memory encoding.

I earned my Ph.D. in the Neurobiology & Behavior department at the University of California Irvine, where I worked with Dr. Bruce McNaughton. During my graduate studies, I studied various properties of continual-learning systems—both biological and artificial—including overcoming catastrophic forgetting and enabling forward knowledge transfer. I developed a neuro-inspired deep learning algorithm that allows for rapid and data-efficient learning of new information. Additionally, I conducted experiments to determine whether similar principles apply to rodent brains. I also ran experiments to explore how enriched experiences can enhance behavior and improve brain function. As part of this work, I wrote a review paper discussing how to bridge gaps between AI models and neuroscience. During my graduate studies, I spent a summer working remotely on developing a single-unit classifier for the Kilosort spike sorting algorithm, working with Dr. Marius Pachitariu.

Before joining UC Irvine, I was a Research Assistant at the Indian Institute of Science, Bangalore, in Dr. Sachin Deshmukh’s lab, where I studied the neural correlates of spatial navigation and memory. During this time, I developed camera systems for tracking rodents in large spaces. I earned my bachelor’s degree in Information Systems from BITS Pilani Hyderabad Campus, India in 2015.

Publications

Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer.
R Saxena, BL McNaughton.
arXiv 2024

Learning in deep neural networks and brains with similarity weighted interleaved learning.
R Saxena, JL Shobe, BL McNaughton.
PNAS 2022.

Route selection with a cognitive map.
McNaughton BL, R Saxena.
Neuron 2022. Preview article

Inexpensive, scalable camera system for tracking rat behavior in large spaces.
R Saxena, W Barde, SS Deshmukh.
Journal of Neurophysiology 2018

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