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Scopus Author ID: 57211231516

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Education and qualifications (2)

Harvard University: Cambridge, MA, US

2019-09-01 to present | PhD (GSAS)
Education
Source: Self-asserted source
Qianyi Li

Peking University: Beijing, CN

2015 to 2019 | Bachelor (Integrated Science)
Education
Source: Self-asserted source
Qianyi Li

Works (11)

Representations and generalization in artificial and brain neural networks

Proceedings of the National Academy of Sciences
2024-07-02 | Journal article
DOI: 10.1073/pnas.2311805121
Contributors: Qianyi Li; Ben Sorscher; Haim Sompolinsky
Source: check_circle
Crossref

Globally Gated Deep Linear Networks

arXiv
2022 | Other
DOI: 10.48550/arXiv.2210.17449
EID:

2-s2.0-85142889841

Part of ISSN: 23318422
Contributors: Li, Q.; Sompolinsky, H.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Globally Gated Deep Linear Networks

Advances in Neural Information Processing Systems
2022 | Conference paper
EID:

2-s2.0-85163184392

Part of ISSN: 10495258
Contributors: Li, Q.; Sompolinsky, H.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Effects of short-term plasticity in early olfactory information processing in Drosophila

bioRxiv
2021 | Other
DOI: 10.1101/2021.05.02.442289
EID:

2-s2.0-85108400872

Part of ISSN: 26928205
Contributors: Liu, Y.; Li, Q.; Tang, C.; Qin, S.; Tu, Y.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System

Frontiers in Computational Neuroscience
2021 | Journal article
DOI: 10.3389/fncom.2021.730431
EID:

2-s2.0-85118759430

Part of ISSN: 16625188
Contributors: Liu, Y.; Li, Q.; Tang, C.; Qin, S.; Tu, Y.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Statistical Mechanics of Deep Linear Neural Networks: The Backpropagating Kernel Renormalization

Physical Review X
2021-09-16 | Journal article
DOI: 10.1103/PhysRevX.11.031059
Contributors: Qianyi Li; Haim Sompolinsky
Source: check_circle
Crossref
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Preferred source (of 2)‎

Minimax dynamics of optimally balanced spiking networks of excitatory and inhibitory neurons

arXiv
2020 | Other
EID:

2-s2.0-85095210451

Part of ISSN: 23318422
Contributors: Li, Q.; Pehlevan, C.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Minimax dynamics of optimally balanced spiking networks of excitatory and inhibitory neurons

Advances in Neural Information Processing Systems
2020 | Conference paper
EID:

2-s2.0-85108409646

Part of ISSN: 10495258
Contributors: Li, Q.; Pehlevan, C.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Statistical mechanics of deep linear neural networks: The back-propagating kernel renormalization

arXiv
2020 | Other
EID:

2-s2.0-85117380784

Part of ISSN: 23318422
Contributors: Li, Q.; Sompolinsky, H.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Optimal compressed sensing strategies for an array of nonlinear olfactory receptor neurons with and without spontaneous activity

Proceedings of the National Academy of Sciences of the United States of America
2019 | Journal article
DOI: 10.1073/pnas.1906571116
EID:

2-s2.0-85073067872

Part of ISSN: 10916490 00278424
Contributors: Qin, S.; Li, Q.; Tang, C.; Tu, Y.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

The optimal odor-receptor interaction network is sparse in olfactory systems: Compressed sensing by nonlinear neurons with a finite dynamic range

bioRxiv
2018 | Other
DOI: 10.1101/464875
EID:

2-s2.0-85095547380

Part of ISSN: 26928205
Contributors: Qin, S.; Li, Q.; Tang, C.; Tu, Y.
Source: Self-asserted source
Qianyi Li via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for PLoS computational biology. (1)
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