Jonathan William Pillow

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2 Active
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Circuit reconstruction of functionally-identified neurons in deep brain regions: application to grid cells
Pillow, J. W. (PI)
NIH NINDS
4/1/23 → 3/31/27
Project: Research project
Adaptive statistical algorithms for learning and control of neural dynamics
Pillow, J. W. (PI)
NIH NIDA
9/15/22 → 9/14/26
Project: Research project
A latent variable model for quantifying social behavior in rodents
Pillow, J. W. (PI)
NIH NIMH
9/17/22 → 9/30/23
Project: Research project
The Application of Generalized Linear Models to Calcium Imaging Data for Optimal High-Dimensional Receptive Field Estimation and Identification of Latent Network Dynamics
Pillow, J. W. (PI)
NIH NIMH
10/1/17 → 9/1/20
Project: Research project
CAREER: Unlocking the Neural Code with Spikes, Currents and Conductances
Pillow, J. W. (PI)
NSF - National Science Foundation
6/1/15 → 8/31/17
Project: Research project

70 Article
28 Conference article
17 Conference contribution
3 Chapter
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Compact deep neural network models of the visual cortex
Cowley, B. R., Stan, P. L., Pillow, J. W. & Smith, M. A., Apr 23 2026, In: Nature. 652, 8111, p. 947-954 8 p.
Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations
A brain-wide map of neural activity during complex behaviour
International Brain Laboratory, Sep 4 2025, In: Nature. 645, 8079, p. 177-191 15 p.
Research output: Contribution to journal › Article › peer-review

Open Access
33 Link opens in a new tab Scopus citations
Brain-wide representations of prior information in mouse decision-making
International Brain Laboratory, Sep 4 2025, In: Nature. 645, 8079, p. 192-200 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
25 Link opens in a new tab Scopus citations
Flow-field inference from neural data using deep recurrent networks
Kim, T. D., Luo, T. Z., Can, T., Krishnamurthy, K., Pillow, J. W. & Brody, C. D., 2025, In: Proceedings of Machine Learning Research. 267, p. 30567-30590 24 p.
Research output: Contribution to journal › Conference article › peer-review
1 Link opens in a new tab Scopus citations
Identifying the factors governing internal state switches during nonstationary sensory decision-making
The International Brain Laboratory, Dec 2025, In: Nature communications. 16, 1, 11684.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Link opens in a new tab Scopus citations

Jonathan William Pillow

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Collaborations and top research areas from the last five years

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Circuit reconstruction of functionally-identified neurons in deep brain regions: application to grid cells

Adaptive statistical algorithms for learning and control of neural dynamics

A latent variable model for quantifying social behavior in rodents

The Application of Generalized Linear Models to Calcium Imaging Data for Optimal High-Dimensional Receptive Field Estimation and Identification of Latent Network Dynamics

CAREER: Unlocking the Neural Code with Spikes, Currents and Conductances

Compact deep neural network models of the visual cortex

A brain-wide map of neural activity during complex behaviour

Brain-wide representations of prior information in mouse decision-making

Flow-field inference from neural data using deep recurrent networks

Identifying the factors governing internal state switches during nonstationary sensory decision-making

Jonathan William Pillow

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output