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Career

· Graduate Student (PhD Candidate), UC Berkeley, Redwood Center for Theoretical Neuroscience2021–

Publications (14)

Computing on Functions Using Randomized Vector Representations (in brief)
Neuro Inspired Computational Elements Workshop · 2021
79
cited
Efficient Decoding of Compositional Structure in Holistic Representations
Neural Computation · 2023
14
cited
Computing with Residue Numbers in High-Dimensional Representation
arXiv.org · 2023
11
cited
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
arXiv.org · 2024
10
cited
Integer Factorization with Compositional Distributed Representations
Neuro Inspired Computational Elements Workshop · 2022
10
cited
Principled neuromorphic reservoir computing
Nature Communications · 2025
8
cited
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
Neuro Inspired Computational Elements Workshop · 2024
7
cited
O SCILLATOR ASSOCIATIVE MEMORIES FACILITATE HIGH - CAPACITY , COMPOSITIONAL INFERENCE
1
cited
Efficient Hyperdimensional Computing with Modular Composite Representations
arXiv.org · 2025
High-resolution spatial memory requires grid-cell-like neural codes
arXiv.org · 2025
Sparse coding generates efficient representations for autoassociative memories
Annual Meeting of the Cognitive Science Society · 2025
Towards a Comprehensive Theory of Reservoir Computing
arXiv.org · 2025
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Christopher Kymn | Researcher Profile | Sotabase | Sotabase