2026 Dharshan Kumaran: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	44	7023	6467	3024	2724	66	59894

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

7023

6467

3024

2724

59894

Overview

Dharshan Kumaran is a researcher affiliated with Google in the United States, whose work spans multiple domains within computer science and neuroscience. Their research portfolio includes contributions in areas related to artificial intelligence and cognitive neuroscience, with specific focus on understanding neural dynamics, memory mechanisms, and sensory function.

The scientist's main fields of study include:

Computer Science
Neuroscience

Within these fields, Kumaran's subfields of study are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Cognitive Neuroscience
Sensory Systems
Developmental and Educational Psychology

Kumaran's research explores several key topics, including:

Topic Modeling
Multimodal Machine Learning Applications
Memory and Neural Mechanisms
Neural dynamics and brain function
Olfactory and Sensory Function Studies
Child and Animal Learning Development
Intelligent Tutoring Systems and Adaptive Learning

The researcher has authored multiple scientific papers, some of which are recent contributions. Notable works include:

"A model of egocentric to allocentric understanding in mammalian brains," 2020, bioRxiv (Cold Spring Harbor Laboratory)
"Language models show human-like content effects on reasoning tasks," 2022, arXiv (Cornell University)
"Language models, like humans, show content effects on reasoning tasks," 2024, PNAS Nexus
"Transformers generalize differently from information stored in context vs in weights," 2022, arXiv (Cornell University)
"MEMO: A Deep Network for Flexible Combination of Episodic Memories," 2020, arXiv (Cornell University)

Kumaran frequently collaborates with several coauthors, including:

Andrea Banino
Charles Blundell
Andrew K. Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan

The primary venues for Kumaran's published work include:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
PNAS Nexus

Best Publications

Human-level control through deep reinforcement learning

Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Andrei A. Rusu

31432
Citations
Overcoming catastrophic forgetting in neural networks

James Kirkpatrick;Razvan Pascanu;Neil C. Rabinowitz;Joel Veness

7020
Citations
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.

David Silver;Thomas Hubert;Julian Schrittwieser;Ioannis Antonoglou

3933
Citations
Frames, biases, and rational decision-making in the human brain

Benedetto De Martino;Dharshan Kumaran;Ben Seymour;Raymond J. Dolan

2206
Citations
Patients with hippocampal amnesia cannot imagine new experiences

Demis Hassabis;Dharshan Kumaran;Seralynne D. Vann;Eleanor A. Maguire

1751
Citations
Neuroscience-Inspired Artificial Intelligence.

Demis Hassabis;Dharshan Kumaran;Christopher Summerfield;Matthew Botvinick

1737
Citations
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

David Silver;Thomas Hubert;Julian Schrittwieser;Ioannis Antonoglou

1344
Citations
Using Imagination to Understand the Neural Basis of Episodic Memory

Demis Hassabis;Dharshan Kumaran;Eleanor A. Maguire

993
Citations
Vector-based navigation using grid-like representations in artificial agents

Andrea Banino;Caswell Barry;Benigno Uria;Charles Blundell

773
Citations
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated

Dharshan Kumaran;Dharshan Kumaran;Demis Hassabis;James L. McClelland

720
Citations
Prefrontal cortex as a meta-reinforcement learning system

Jane X. Wang;Zeb Kurth-Nelson;Dharshan Kumaran;Dhruva Tirumala

655
Citations
Learning to reinforcement learn

Jane X. Wang;Zeb Kurth-Nelson;Dhruva Tirumala;Hubert Soyer

646
Citations
Learning to Navigate in Complex Environments

Piotr Mirowski;Razvan Pascanu;Fabio Viola;Hubert Soyer

626
Citations
Generalization Through the Recurrent Interaction of Episodic Memories: A Model of the Hippocampal System

Dharshan Kumaran;James L. McClelland

445
Citations
An unexpected sequence of events: mismatch detection in the human hippocampus.

Dharshan Kumaran;Eleanor A Maguire

408
Citations
Tracking the Emergence of Conceptual Knowledge during Human Decision Making

Dharshan Kumaran;Jennifer J. Summerfield;Demis Hassabis;Eleanor A. Maguire

350
Citations
Match-Mismatch Processes Underlie Human Hippocampal Responses to Associative Novelty

Dharshan Kumaran;Eleanor A. Maguire

347
Citations
Strong Evidence for Pattern Separation in Human Dentate Gyrus.

David Berron;Hartmut Schütze;Anne Maass;Arturo Cardenas-Blanco

300
Citations
The Human Hippocampus: Cognitive Maps or Relational Memory?

Dharshan Kumaran;Eleanor A. Maguire

288
Citations
A Genetically Mediated Bias in Decision Making Driven by Failure of Amygdala Control

J. P. Roiser;B. de Martino;G. C. Tan;D. Kumaran

273
Citations