Sreejan Kumar

Neuroscience · Life Sciences

7h-index212citations26works8.52yr avg
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Research Topics

Functional Brain Connectivity Studies(7), Topic Modeling(6), Child and Animal Learning Development(5), Domain Adaptation and Few-Shot Learning(4), Embodied and Extended Cognition(4)

Publications26 total

Generative Similarity, Generalization, and Abstraction
2026Open Access
Generative Similarity, Generalization, and Abstraction
PsyArXiv (OSF Preprints)·2026Open Access
Generative Similarity, Generalization, and Abstraction
2026Open Access
Generative Similarity, Generalization, and Abstraction
Arabixiv (OSF Preprints)·2026Open Access
Sensory Compression as a Unifying Principle for Action Chunking and Time Coding in the Brain
2025Open Access
A foundation model to predict and capture human cognition
Nature·2025· 50 citedOpen Access
Centaur: a foundation model of human cognition
2024· 10 citedOpen Access
Centaur: a foundation model of human cognition
2024· 4 citedOpen Access
Centaur: a foundation model of human cognition
arXiv (Cornell University)·2024· 5 citedOpen Access
Shared functional specialization in transformer-based language models and the human brain
Nature Communications·2024· 42 citedOpen Access
Learning Human-Aligned Representations with Contrastive Learning and Generative Similarity
arXiv (Cornell University)·2024Open Access
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
arXiv (Cornell University)·2024Open Access
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Relational Constraints On Neural Networks Reproduce Human Biases towards Abstract Geometric Regularity
arXiv (Cornell University)·2023· 1 citedOpen Access
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning
PLoS Computational Biology·2023· 7 citedOpen Access
On the hazards of relating representations and inductive biases
Behavioral and Brain Sciences·2023
Shared functional specialization in transformer-based language models and the human brain
2022· 31 citedOpen Access
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines
arXiv (Cornell University)·2022· 7 citedOpen Access
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning
arXiv (Cornell University)·2022· 6 citedOpen Access
Reconstructing the cascade of language processing in the brain using the internal computations of transformer language models
2022 Conference on Cognitive Computational Neuroscience·2022· 8 citedOpen Access
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Frequent Co-authors

Thomas L. Griffiths(16), Ishita Dasgupta(6), Nathaniel D. Daw(6), Marcelo G. Mattar(5), Marcel Binz(4), Elif Akata(4), Matthias Bethge(4), Franziska Brändle(4), Fred Callaway(4), Julian Coda-Forno(4), Peter Dayan(4), Can Demircan(4), Maria K. Eckstein(4), Noémi Éltető(4), Susanne Haridi(4), Jian Li(4), A Ya Kipnis(4), Tobias Ludwig(4), Marvin Mathony(4), Alireza Modirshanechi(4)