Jonathan William Pillow

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1 Similar Profiles

2 Active
3 Finished

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 → 9/14/25
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

57 Article
24 Conference article
16 Conference contribution
3 Chapter
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Active Learning for Discrete Latent Variable Models
Jha, A., Ashwood, Z. C. & Pillow, J. W., Mar 2024, In: Neural computation. 36, 3, p. 437-474 38 p.
Research output: Contribution to journal › Letter › peer-review
1 Scopus citations
Cross Talk opposing view: Marr's three levels of analysis are not useful as a framework for neuroscience
Pillow, J. W., May 1 2024, In: Journal of Physiology. 602, 9, p. 1915-1917 3 p.
Research output: Contribution to journal › Article › peer-review
CrossTalk rebuttal
Pillow, J. W., May 1 2024, In: Journal of Physiology. 602, 9, p. 1921 1 p.
Research output: Contribution to journal › Article › peer-review
Efficient Decoding of Large-Scale Neural Population ResponsesWith Gaussian-Process Multiclass Regression
Greenidge, C. D., Scholl, B., Yates, J. L. & Pillow, J. W., Jan 18 2024, In: Neural computation. 36, 2, p. 175-226 52 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Mapping model units to visual neurons reveals population code for social behaviour
Cowley, B. R., Calhoun, A. J., Rangarajan, N., Ireland, E., Turner, M. H., Pillow, J. W. & Murthy, M., May 30 2024, In: Nature. 629, 8014, p. 1100-1108 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
9 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

Active Learning for Discrete Latent Variable Models

Cross Talk opposing view: Marr's three levels of analysis are not useful as a framework for neuroscience

CrossTalk rebuttal

Efficient Decoding of Large-Scale Neural Population ResponsesWith Gaussian-Process Multiclass Regression

Mapping model units to visual neurons reveals population code for social behaviour

Jonathan William Pillow

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output